15 Best ETL Tools For Your Business in 2023

Data is a key component of every business. As they develop, businesses gather large amounts of data from customers, their internal operations, and third-party providers. However, when working with data, it’s easy to lose track of what’s essential. 

Another pressing issue is sharing data between departments and with stakeholders. To avoid data silos, most companies have turned to ETL tools. These powerful solutions allow businesses to share information and scale data pipelines. 

In this article, we are going to focus on ETL tools. Apart from explaining what ETL tools are and how they work, we will also compare some of the best solutions to help you find the right tool for your business. 

Let’s start with the basics: What are these tools?

What are ETL Tools?

ETL tools are solutions that support the ETL process. ETL stands for extract, transform, and load. These tools extract data automatically from different sources, scrub it for quality and consistency, and load it into data destinations.

This type of software is crucial for data-driven organizations. Considering that data comes from various sources, it doesn’t have the same format. ETL tools can transform that data and load it from multiple sources into one destination. To consistently share information, data-driven organizations rely on ETL tools. 

How do ETL tools work?

ETL tools make data easy to store and share between departments. This positively impacts data-driven decision-making, allowing professionals to grow and develop their businesses. 

ETL tools extract, transform, and load data. Let’s explain each part of the process: 

Extract: The first step of the ETL process is to extract information. An ETL solution takes data from wherever it is stored. The tool identifies what type of data it is and searches for the security controls that are in place to keep data safe. After that, the tool issues the right queries to read the data and also to see if any new data has been added or modified since the last extraction.

Transform: The second and most important step of the process is the transformation of that data. The tool scrubs the information, and it can make various changes, depending on your business needs. For example, data can be formatted or merged from one source with another one. 

Load: Lastly, the “transformed” data is loaded into a destination system. Depending on the business, data can be loaded into a data lake or warehouse. It’s important to mention that ETL tools optimize the data so that it’s stored as effectively as possible. This means that they automatically erase any duplicate or erroneous data and only load the necessary information. 

TL;DR: Top 5 ETL tools comparison table

Since this is a comprehensive and detailed article, we’ve decided to create a short comparison table with the top 5 best ETL tools.

Want to find out more about these tools (and others)? Keep on reading!

	Free trial availability	Features	Connectors	Pricing
Coupler.io Try it now!	14-day	Automated data refresh Data blending Data transformation Webhooks	70+ data sources, including Asana, BigQuery, Dropbox, Facebook Ads, Jira, etc.	From $49 monthly
Oracle Data IntegratorTry it now!	No free trial	Flexible and high-performance architecture Integrates with Oracle GoldenGate All-in-one solution	Out-of-box integration with databases, Hadoop, ERPs, CRMs,B2B systems, flat files, XML, JSON,LDAP, JDBC, ODBC	Pricing available on request
CDataTry it now!	30-day	Fully customizable ETL/ELT data transformation Runs anywhere Real-time Change Data Capture	250+ enterprise data sources, including Salesforce, SAP, HubSpot, Snowflake, etc.	From $3,999/Year
Query SurgeTry it now!	30-day	Data analytics dashboard Query Wizards BI Tester	200+ data stores, including data bases, eCommerce platforms, and accounting tools.	From $5,747/year for subscription or $11,493 for perpetual/user
Big EvalTry it now!	14-day	Testcase Execution Scripting Data Quality Management	100+ sources, including versatile applications and databases	From $69/month for Big Eval Lite

Before we talk about the top 10 best ETL tool, let’s take a look at how ETL tools are classified.

Types of ETL Tools

There are 4 types of ETL tools that you can select from. 

• Open-source

These ETL tools are free and can be used by any company. Since the source code is freely available, you can enhance or extend its capabilities to match the needs of your business. Each open-source ETL tool is different. That’s why you will see that open-source ETL tools vary in quality, ease of use, availability of support, and integrations. 

Open-source tools are great for smaller businesses and for those who might not have the budget or the tech infrastructure to sustain enterprise software or a custom ETL tool.

Some of the most popular open-source ETL tools are: 

1. Talend Open Studio
2. Hadoop
3. Singer

• Cloud-based 

Since IaaS (integration platform as a service) became so popular, many cloud service providers (CSPs) have included ETL tools in their infrastructure. As you might expect, one of the biggest advantages of using cloud-based ETL tools is their efficiency. Unlike Enterprise software ETL tools, cloud-based ones come with better availability, high latency, and elasticity. This makes them highly scalable. Furthermore, if the company also stores its data with the same CSP, then its data pipeline is fully optimized since all processes happen in the same place. 

One disadvantage of cloud-based ETL tools is that they only work in the CSPs environment. This means the tools don’t support data from other clouds or from on-premise centers. 

These are some of the most popular cloud-based tools:

1. Coupler.io
2. Google Cloud Dataflow
3. Segment

• Enterprise software

These ETL tools are some of the most reliable and powerful. They provide a robust and mature interface and come with many features and integrations. However, if you want to integrate an enterprise ETL, you will need to have a bigger budget and hold a training session for your employees. 

Here are a few of the most popular enterprise software ETL tools: 

1. IBM InfoSphere DataStage
2. Oracle Data Integrator 
3. Informatica PowerCenter

• Custom ETL solution

If none of the other types of ETL tools is an option for you, then you might be interested in creating your own, custom ETL tool. Custom-built ETL tools are the perfect solution for companies with development resources. With general programming languages, you can create a tool that fulfills your needs. Of course, a custom tool comes with a lot of flexibility. 

However, the main downside is the internal resources you need to allocate for this project. Keep in mind that creating the tool is not enough. You will require manpower for testing and maintenance as well. 

To create a custom ETL tool, you can choose from these popular programming languages:

1. Python
2. SQL
3. Java

15 best ETL tools for data integration

1. Coupler.io

Coupler.io is a data automation and analytics platform with powerful ETL functionality. It allows you to extract data from over 70 business apps, transform it, and send it to the destination app of your choice. For example, you can transfer analysis-ready data to BI tools (Looker Studio, PowerBI, Tableau), spreadsheet apps (Excel, Google Sheets), or databases (BigQuery). Coupler.io has an automatic data refresh feature that can keep the copy of your data in the destination app always up to date. This allows you to create live dashboards and self-updating reports.

Coupler.io is a no-code solution, so any business user can easily set up an integration in minutes without any technical knowledge.

Try it now!

Features

• Automatic data refresh. You can set up a custom schedule for the updates, and Coupler.io will automatically refresh your data according to your preferences. The available update intervals range from once per month to every 15 minutes.
• Robust data transformation module. Coupler.io gives you the necessary toolset to prepare your data for analysis before importing it into the destination app. In particular, you can easily blend data from multiple data sources, sort and filter data, rename and rearrange columns, add new columns and calculate custom metrics directly within the Coupler.io interface. 

• Data analytics consulting services: Make data-driven decisions with fresh, real-time data. You can review your business growth and health in an instant.
• Free dashboard templates. As Coupler.io is often used for reporting and analytics, the platform offers its users a set of free templates. This allows you to visualize your data literally in minutes – you’ll just need to plug in your data source and Looker Studio account into a Coupler.io importer.
• Webhooks. You can trigger imports from apps or events, and the other way round – your importers can trigger external events. Webhooks are often used to trigger a sequence of importers to run one by one.
• Data analytics consultancy. The capabilities of the data integration solution can be extended and tailored to your specific case thanks to Coupler.io’s data analytics services. For example, you can request building custom connection or features, as well as get help with creating advanced data visualizations or setting up data infrastructure.

Connectors

• Data vis and BI tools: Looker Studio, PowerBI, Tableau
• Ads and marketing apps: Mailchimp, Google Ads, LinkedIn Ads, GA4
• Cloud drives: OneDrive, Google Drive
• Databases: MySQL, Big Query
• CRM apps: Pipedrive, HubSpot, Salesforce
• Ecommerce: Shopify, WooCommerce
• Project management apps: Asana, Clockify, Harvest, Calendly
• Spreadsheet apps: Google Sheets, Excel

Pricing policy

This is one of the best value-for-money solutions on our list – it combines affordable pricing with rich functionality.

Coupler.io provides a free 14-day trial, no credit card required. After that, you can choose from several subscription plans:

• Starter: from $49 per month
• Squad: from $99 per month
• Business: from $249 per month

Who can benefit from this solution? 

Coupler.io is a good fit for business users, such as marketing specialists, project managers, financial experts, and sales professionals. It will also be useful for data analysts and other data professionals. 

The tool is designed mostly for small-to-medium businesses, which is also reflected in its affordable pricing. However, the platform also offers an Enterprise plan that allows bigger organizations to request additional functionality depending on the specific case.

Use cases

Coupler.io is often used to automate the reporting process and streamline data analytics. For example, in marketing, it can automatically collect data from various data sources, transfer it to a dashboard, and update it on a schedule. As a result, a marketing team gets a self-updating cross-channel report. In the example below, you can see a comprehensive dashboard featuring data from Facebook Ads, Google Ads, and LinkedIn Ads. Alternatively, automated reports can also be created in a spreadsheet app. 

Coupler.io can also be used for maintaining a backup copy of your data that is alway up-to-date. Another typical use case is collecting data from across the organization into a single source of truth for analysis. This allows you to gain transparency and obtain valuable insights to power data-driven decisions.

2. Oracle Data Integrator

A powerful ELT tool that comes with over 100 integrations is Oracle Data Integrator. There’s a small difference between ETL and ELT tools. ETL tools transform data on a separate processing server, while ELT tools transform data within the data warehouse itself. 

As you might expect, this is enterprise software, and it’s designed for corporations and other large businesses. Oracle Data Integrator is a comprehensive data integration tool that allows you to extract, transform, and load data from various connectors. 

Since it’s enterprise software, this tool is more complex and will require onboarding and a training session for your employees. It’s not extremely user-friendly, but it’s mature and reliable software. The latest version, 12c, provides superior developer productivity and improved user experience. 

If you are already using other Oracle tools, including Oracle Warehouse Builder (OWB), it is the best option for you because it allows you to interconnect all of your tools, and creates a seamless end-to-end experience. 

Learn more

Features

• Flexible and high-performance architecture: This is a powerful tool that comes with many connectors. 
• Integrates with Oracle GoldenGate: It provides real-time data warehousing. 
• All-in-one solution: Unifies data-based, event-based, and service-based integration in a single solution

Connectors review

• Big data and NoSQL: Google Data Catalog, Hive, Redis
• Marketing apps: Facebook Ads, Outreach.io, SendGrid
• Collaboration tools: Airtable, Asana
• CRM & ERP: Act CRM, Zoho CRM
• Accounting: ADP, Freshdesk
• eCommerce: Shopify, BigCommerce
• RDBMS: Impala, Sybase

Pricing policy

Since it is an enterprise software and its features can be used by various companies with different needs, pricing is available on request.

Who can benefit from this solution? 

This is an ETL solution for corporations and enterprises. Also, it’s a good tool for large companies that already use Oracle solutions. It’s definitely not a solution for small-to-medium businesses or small agencies because it’s too complex. 

Use cases 

ODI can be used to populate a financial service data warehouse. When data is extracted from different sources, the ETL tool also performs quality checks to avoid corrupted or erroneous data entering the destination source/warehouse. Also, another common use case for technical teams is to pull data from cloud-based databases and load it to on-premises data warehouses. 

3. CData Sync

CData is another sophisticated ETL tool that you can consider. With over 250 fully managed connectors, you have the flexibility to extract, transform, and load data in the systems and applications of your choice.

This tool allows you to go from fragmented data silos to centralized intelligence, which helps you unify data and share it between departments. CData Sync powers BI Reporting, data science, and operational analytics to easily spot the health and growth of your business. Since it provides no-code integration for all of your data, it is much easier to use than custom ETL tools.

Also, Sync comes with various support options if you need a helping hand. Apart from its extensive knowledge base, you can also request premium support via email or phone.

Learn more

Features

• Fully customizable ETL/ELT data transformation: You can customize the ETL or ELT transformation, depending on your needs.
• Runs anywhere: With CData Sync, you are not limited when it comes to the destination of your data. It provides cloud-to-cloud, on-premises-to-cloud, and cloud-to-on-premises integration solutions. 
• Real-time Change Data Capture: You can see changes in data and receive fresh data any time you need it. 

Connectors review

• Big data and NoSQL: Google Data Catalog, Hive, Redis
• Marketing apps: Facebook Ads, Outreach.io, SendGrid
• Collaboration tools: Airtable, Asana
• CRM & ERP: Act CRM, Zoho CRM
• Accounting: ADP, Freshdesk
• eCommerce: Shopify, eBay
• RDBMS: Impala, Sybase

Pricing policy

Apart from their 30-day trial, CData Sync comes with 3 paid plans: 

• Standard: $3,999/year – 5 connections and up to 100M rows/month
• Professional: $9,999/year – 10 connections and up to 1BN rows/month
• Enterprise: Quote upon request

Who can benefit from this solution? 

This is an advanced ETL tool for mature businesses and accounting or marketing agencies that operate with a lot of data. It can also be a good option for enterprises or corporations. 

Use cases

Since it supports over 200 connectors, there are a lot of ways in which this ETL tool can be used. For example, accounting consultants or agencies can create reports by connecting Zoho Books or the ADP app and extracting and analyzing data. Also, project managers can export data from Asana, Monday.com, or other collaboration tools to create productivity reports.

4. Query Surge

QuerySurge is a performant data testing tool. It automates and analyzes your data validation and ELT testing. 

The software can be used for various activities, including ETL testing, data warehousing, Big data testing, BI report testing, and data migration testing. QuerySurge is a more complex and technical solution, which means you need to have trained employees that can benefit from the product to the fullest. 

This ETL tool focuses on four major roles in an organization:

• QA Testers
• ETL Developers
• Operations Team
• Data Analysts

Each one of these employees can use the tool for various activities and use cases. One of the major advantages of using a tool like QuerySurge is that you avoid human errors, which are common when working with data and have a negative impact on business growth. 

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Features

• Data analytics dashboard: Always keep an eye on data health. You can build a customized dashboard to have a full overview of what’s important for you. 
• Query Wizards: Both novice and experienced team members are able to validate data, with no SQL programming required.
• BI Tester: the BI tester is a fully automated end-to-end solution for testing from data sources through the Big Data lake to the Data Warehouse/Data Mart to the BI and Analytics reports.

Connectors review

• Big data and NoSQL: Amazon Athena, Azure Data Catalog
• Marketing apps: Facebook Ads, Salesforce Marketing, Google Analytics
• Collaboration tools: Airtable, Basecamp, Docusign
• CRM & ERP: Acumatica, Act-on
• Accounting: ADP, Quickbook
• eCommerce: BigCommerce, Magento
• Files and API: Box, Amazon S3

Pricing policy

QuerySurge comes with five free trial options:

• Trial in the Cloud: QuerySurge – 3 days
• Trial Download: QuerySurge – 15 days
• Trial Download: QuerySurge + BI Tester – 15 days
• Trial Download: QuerySurge + DevOps for Data – 15 days
• Trial Download: QuerySurge Proof-Of-Concept – 45 days POC

If you tried out the product and you think that it is the right fit for your business, you need to know that QuerySurge has two licensing models:

• Subscription – QuerySurge can be used for a 12-month term with options to renew. Support, bug fixes, and upgrades are included.
• Perpetual – you will own QuerySurge. The annual maintenance plan includes support, bug fixes, and upgrades.

Also, there are two options for users: 

• Named user: Each user needs a license, and only one user can be added per license. 
• Floating user: Multiple users can be added per license, and each user has its own ID number. This is a more flexible, yet expensive option.

For the subscription model, the prices start from $5,747/named user or $10,334/floating user (minimum 2 users). For the perpetual model, the prices start from $11,493/named user or $20,687/floating user. 

Who can benefit from this solution? 

This is a perfect tool for more data-driven companies. As you can see, the prices are a bit steep, so it’s more suited for larger companies with a well-developed tech team. As we’ve mentioned earlier, data architects, the operations team, ETL developers, and QA testers can benefit the most from using this tool.

Use cases

One of the most common use cases for QuerySurge is Unit Testing. The ETL developers can build Unit Test QueryPairs as ETL code is developed. This will help them test the code as it is committed in the development environment. Other common use cases include regression testing, data analysis, and operational monitoring.

5. BiG EVAL

BiG EVAL is an ETL tool. Apart from its simple ETL function, BiG EVAL also allows you to extend the automation of your projects. 

Thanks to its easy-to-use tools and processes, BiG EVAL helps coordinate the collaboration between the technical team and the business experts. 

If you are looking to “put data testing on autopilot,” then BiG EVAL might be the right tool for you. 

This ETL solution guarantees benefits from day one thanks to its powerful automation capabilities. This product comes with many benefits, especially for data-driven projects, because it can increase the efficiency and accuracy of data testing. 

Learn more

Features

• Testcase Execution: BiG EVAL can run test cases and quality checks both manually and automatically. 
• Scripting: When none of BiG EVAL automated capabilities are enough, you can still trust scripting. 
• Data Quality Management: It makes you capable of automatically applying ongoing quality checks onto your enterprise data.

Connectors review

• Applications: SAP R/3, REST API
• Cloud: Azure Analysis Services, Google Cloud Platform
• Data Analytics: Power BI, Analysis Services
• Data Warehouses: Hadoop, Hive
• Databases: MySQL, HBase

Pricing policy

After completing its 14-day free trial, you can select one of these price plans:

• BiG EVAL Lite – $69/month
• BiG EVAL Launch – $230/month/user
• BiG EVAL Scale – $450/month/user
• BiG EVAL Corporate – price on request

Who can benefit from this solution? 

Just like Coupler.io, BiG EVAL is a fairly affordable ETL tool, which means it can be used even by small-to-medium businesses and agencies. However, it doesn’t come with many data sources/connectors. BiG EVAL is the perfect tool for data-driven tech startups and small-to-medium businesses. 

Use cases

BiG EVAL has multiple use cases, including reporting, data migration, and data integration. However, one of the most common is data engineering. Your team can validate data and ensure the quality of the data processing systems. Also, BiG EVAL is really appreciated for helping businesses automate data testing processes. 

6. Skyvia

Skyvia is a universal SaaS data platform with ETL capabilities. You can perform a wide range of data-related processes with the help of this universal cloud platform. The best thing? No coding is required for these data integration and management tasks. This means that Skyvia can be used even by team members who are not very tech-savvy. 

Since it’s a cloud-based ETL platform, Skyvia comes with more flexibility and scalability for your data-driven projects. It eliminates the need for deployment and manual upgrades. With Skyvia, you can integrate, replicate, migrate, backup, share, and manage all of your business data under one dashboard. 

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Features

• Real-time Data Access: This feature allows you to create a gateway to on-premise data, well-known interfaces to connect to SQL endpoints, and create web API endpoints without coding. 
• Data Backup: Never lose important data with Skyvia’s data backup feature. 
• Data Management: Run visually built queries or SQL commands against your databases and create automated reports in Excel and Google Sheets. 

Connectors review

• Help Desk: Help Scout, Freshdesk
• Marketing automation: ActiveCampaign, GetResponse
• Payment processing: Stripe, Zoura
• CRM: Salesforce, Agile CRM
• Accounting: Freshbooks, Zoho Books
• eCommerce: BigCommerce, Recharge
• HR: Zoho People, Greenhouse

Pricing policy

Skyvia comes with four payment plans: 

• FREE – Basic integration for a small amount of data – $0
• BASIC – Basic Data Ingestion and ELT scenarios – from $15/month
• STANDARD – ELT And ETL Scenarios – from $79/month
• PROFESSIONAL – Powerful data pipelines for any scenario – $399/month

Who can benefit from this solution? 

Skyvia is a data platform that can be used by small-to-medium businesses, freelancers, and agencies, as well as larger companies. It might not be the best option for corporations since it doesn’t come with a lot of features like Oracle Data Integrator and QuerySurge. 

Use cases

Since it is a universal data platform, there are multiple use cases for this product, such as data integration, migration, backup, and synchronization. For example, you can migrate data from one cloud (AWS) to another (Azure) for your eCommerce platform faster and without downtime. Since an eCommerce platform needs to have as little downtime as possible, migrating data efficiently is a big plus. 

7. Fivetran

You can replicate your events, applications, databases, and files into a cloud warehouse with the help of Fivetran. This ETL tool is easy-to-use and reliable, making data integration a piece of cake. 

It comes with a lot of connectors which makes it ideal for data-driven businesses. 

This ETL tool allows you to centralize all of your data fast and efficiently to make data-driven business decisions. With a user-friendly interface, Fivetran is a powerful tool for businesses that care about their data.

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Features

• Custom data: Fivetran easily replicates custom data whenever it exists and is accessible. 
• Data blocking: With data blocking, you can omit columns or tables from replicating to your destination.
• Data re-sync: When data from your source and from your destination get out of sync, you can perform a full re-sync to the existing data to sync it to the destination source.

Connectors review

• Databases: Oracle RAC, MySQL
• Support analytics: SugarCRM, Typeform
• Product analytics: Branch, Gainsight
• Finance and Ops Analytics: Workday HCM, Paypal
• Marketing analytics: Twitter Analytics, Reddit Ads

Pricing policy

There are four subscription plans, each with different features and benefits. All of them start out for free, and you only pay for what you use. However, the prices for each subscription plan are not disclosed: 

• Starter – Achieve modern ELT for your application & file sources.
• Standard Select – For individuals automating ELT for small volumes of data.
• Standard – Centralize product and transactional data from your databases.
• Enterprise – Empower everyone with fast, secure, reliable data from all of your sources.

Who can benefit from this solution? 

This is a great solution for small-to-medium businesses, agencies (accounting, marketing, finance), and larger companies. However, it might not be the perfect solution for larger tech companies since it doesn’t offer an on-premise solution.

Use cases

Fivetran comes with multiple use cases, among which database replication is one of the most popular. Also, marketing agencies can improve campaign performance with all-in-one marketing analytics by exporting data from various analytics platforms like Twitter Analytics and Google Analytics into one destination. Customer success and product teams can also collaborate and analyze product and customer data on one dashboard instead of using multiple analytics platforms. 

8. Singer

If you are looking for a reliable open-source ETL tool, you should consider Singer. This free scripting technology enhances your data transfers between data storage and your organization’s applications. Information can be loaded from any source and loaded into any destination. 

Of course, Singer is not a fully automated tool which means that you need a trained technical team for your data management and integration activities. Singer is sponsored by Stitch, which is another ETL tool that you will find at the end of our list. 

Learn more

Features

• Unix-inspired: Singer’s taps (sources) and targets (destinations) are simple applications composed with pipes which mean you don’t require complicated plugins. 
• JSON-based: Singer’s apps communicate with JSON, which makes them easy to work with and implement any programming language. 

Connectors review

Since it is an open-source ETL tool, you can load information from any source to any destination by writing the commands. However, here are a few popular sources supported by Singer: 

• Campaign Manager
• BigCommerce
• Bronto
• ChargeBee
• Ebay
• Gitlab
• Harvest
• Jira
• LinkedIn Ads
• Oracle

Pricing policy

Singer is an open-source, free ETL tool. 

Who can benefit from this solution? 

This is a great option for those who don’t have a budget for an ETL tool or are just starting out with their data-related activities. However, remember that you will need a more tech-savvy team or team member to create commands to extract data with Singer.

Use cases

The main use case for Singer is data extraction from various sources to different destinations. Since you can write your own commands, Singer is a fairly customizable tool. For example, a financial advisor can pull currency exchange rate data from Exchangeratesapi.io into a CSV file with a few simple commands.

9. Dataddo

Dataddo is a no-code, cloud-based ETL tool created to help both technical and non-technical team members to integrate data. Dataddo provides a reliable, scalable, and flexible platform since it is cloud-based. This tool connects data lakes, data warehouses, dashboarding tools, and cloud-based applications. 

Dataddo’s engineering team takes care of all API changes. The team also proactively monitors and fixes pipelines, and builds new connectors free of charge in a few business days. With just a few clicks, you can extract, transform, and load data from various popular sources to your chosen destinations. 

While it is highly advanced, this tool is easy to use and maintenance-free. Also, Datadoo puts a lot of emphasis on security, and that’s why their platform is SOC 2 Type II certified and compliant with all major data privacy laws. 

Learn more

Features

• Data to dashboards: Connect any cloud platform to your dashboarding app
• Data anywhere: Extract data from any source and load it into any destination
• Headless Data Integration: You can connect to Dataddo API to get all of the integration in one tool 

Connectors review

• Databases: MongoDB, AWS Aurora
• Marketing: Hubspot, SurveyMonkey
• Finance: QuickBooks, Teamleader
• Sales: Salesforce, Pipedrive
• Dashboarding apps: Zoho Analytics, Tableau

Pricing policy

Apart from its free subscription plan, which includes 3 data flows and allows you to sync data every week, you can select one of the following projects/feature plans:

• Data to Dashboards – Sync data hourly to any visualization tools – from $99/month
• Data Anywhere – Sync data between any sources and any destinations – from $99/month
• Headless Data Integration – Build your data products on top of the unified Dataddo API – custom price on request

Who can benefit from this solution? 

This is a great solution for small and mid-sized businesses (up to 1000 employees). Also, marketing agencies and other small companies can try out the product. It’s an ideal platform for data engineers, BI analysts, and Finance officers.

Use cases

One of the most popular use cases is sending data to a dashboard app, like Dasharoo or Databox. You can extract data from multiple sources, transform it, and load it into your preferred destination dashboard. For product teams, this will allow them to gain a complete overview of product data instead of using various tools to track user behavior.

10. Stitch

Stitch is a cloud-based data integration service that can rapidly move data from over 140 sources to data warehouses. Since it is a fully-managed ETL tool, no coding is necessary, making this a great tool even for people who are not tech-skilled. 

Instead of spending time managing your data pipeline, Stitch helps you focus on discovering valuable insights from your business data. This tool is easy to use and indispensable for the tech tool stack of data teams. You can control and track your data pipeline easily because of Stitch’s transparent orchestration. 

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Features

• Easy scheduling: With a few clicks, you can select how often and when you need your data replicated.
• Error handling: Stitch can detect errors in your data pipeline and will alert you. When possible, the tool will automatically resolve issues. 
• Automatic scaling: Agile data-driven companies need a solution like Stitch that will automatically scale data volumes up or down. 

Connectors review

• CRM apps: Pipedrive, HubSpot
• Ecommerce: Shopify, BigCommerce
• Project management apps: Asana
• Marketing apps: Mailchimp, Facebook, LinkedIn Ads
• Spreadsheet apps: Google Sheets, Excel

Pricing policy

After the 14-day free trial, you can select the right plan for you:

• Standard – from $100/month
• Advanced – from $1,250/month
• Premium – from $2,500/month

Who can benefit from this solution? 

This is a great tool for mid-sized businesses and even larger companies or enterprises. Product Intelligence, Marketing, and Sales teams can benefit the most from using Stitch. 

Use cases

Stitch can be used to deliver revenue insights within minutes to sales leaders. The sales team can export data from multiple sources, transform, and load it into their preferred dashboard to present complex reports and uncover invaluable insights. Also, financial analytics can export data from multiple finance and payment tools into one dashboard to make informed financial forecasting.

11. Integrate.io

This is an ETL platform for building and maintaining automated data pipelines. It allows you to extract data from 150 various sources, transform it, and load it to 120 destinations. The main focus is on big enterprises that need to address complex data automation tasks and have a team of data professionals. However, Integrate.io also offers an impressive no-code functionality that makes it suitable for business users as well.

Apart from the ETL data pipelines solution, Integrate.io offers an ELT & CDC platform, API generation platform, and data observability solution. 

Learn more

Features 

• Drag-and-drop interface. You can build automated data pipelines by simply rearranging graphical elements on the screen. Such an intuitive interface is very convenient, especially for business users.

• No-code and low-code functionality. Integrate.io combines simplicity and accessibility designed for non-tech users with an extended set of features for data teams and engineers. For example, it can be used to build internal & external-facing applications.

• Customizable schedule. Data transfers can be scheduled according to your needs and preferences. Integrate.io can refresh your data in the destination app at custom intervals, up to every 5 minutes. 

Connectors review

• Databases: Amazon Redshift, Snowflake, MySQL
• Cloud Storage: Amazon S3, Google Cloud Storage
• Cloud Services: Airtable, Jira, Salesforce, Mailchimp
• Advertising: Facebook Ads, Google Ads, Microsoft Ads
• BI Tools: Looker Studio, Periscope Data

Pricing policy

A 14-day free trial is available. After that, you can select from different options:

• Starter for ETL and Reverse ETL – $15,000/year, billed annually.
• Professional for ETL and Reverse ETL – $25,000/year, billed annually. 
• Enterprise for ETL and Reverse ETL – custom (upon request). 
• ELT and CDC tool – starting from $159/month, billed annually.

Who can benefit from this solution? 

Integrate.io will be helpful to engineering teams, data science teams, and other data professionals. Business users can also benefit from the solution, especially from the no-code data integration functionality. It will be helpful to RevOps and BizOps professionals, marketing execs, etc. However, the comprehensive nature of the platform and a hefty price tag make it a good fit mostly for enterprise-level organizations.

Use cases: 

The solution can be used across a wide range of industries. One of the most popular use cases is gathering data from multiple apps into a single source of truth for analytics and reporting. Integrate.io is also useful for powering your systems with fresh data and creating data-based internal & external-facing applications.

12. Qlik 

Qlik is a comprehensive data analytics and BI platform with data integration capabilities. It offers multiple separate products that address different data-related needs, but in our overview we will focus on the Qlik Data Integration solution. It supports over 100 data sources and destinations, including cloud providers, databases, data warehouses, and various business applications. You can use it to extract, transform, and load your data, as well as to automate workflows, and build data visualizations.

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Features 

• Data movement and streaming. Qlik can help with moving data from different apps into streaming and cloud platforms, data warehouses, and data lakes. It can also be used for real-time data streaming (CDC). You can use an advanced command center to configure, execute and monitor your integration tasks.
• Data warehouse automation. Qlik offers no-code functionality that can help you build, deploy, and manage cloud data warehouses.
• Data transformation. The platform provides a no-code interface that helps you create reusable data transformation pipelines. It allows you to filter, join, enrich, consolidate, and standardize data. You can also add your own SQL to the pipeline to perform custom transformations.
• Application automation. Qlik comes with a no-code visual editor that allows you to create automated workflows triggering required actions across various SaaS applications.

Connectors review

• Data warehouses: Databricks, BigQuery, Snowflake, Oracle
• Databases: Firebird, MariaDB, Microsoft SQL Server
• Cloud storage: Dropbox, OneDrive
• Ad and marketing apps: Mailchimp, Google Ads, YouTube Analytics
• CRMs: Salesforce, SugarCRM
• Collaboration apps: Jira, Slack, Google Calendar

Pricing policy

Qlik offers a Client-managed Data Integration solution and Cloud Data Integration option, which is an iPaaS solution (integration platform as a service). The company doesn’t disclose its pricing publicly, so you would need to contact their representatives for more details on this.

Who can benefit from this solution? 

Qlik Data Integration solution can be useful to professionals working in sales, marketing, advertising, and other industries. It will be helpful to data professionals as well.

Use cases: 

The examples of use cases can be collecting data across an organization and performing transformations to make it analysis-ready. It also makes sense to use Qlik Data Integration solution with their other products. In this case, the platform can help you automate and manage your data end-to-end – from automating and collecting to visualizing and analyzing your data, all within one enterprise-grade solution.

13. Domo

Domo is positioned as a data experience platform. It offers a broad functionality that includes data integration, BI and analytics, and an app-creation toolset. The solution provides over 1000 pre-built cloud integrations, with on-premises connectors also available. It allows you to automate reporting, create live dashboards, and more. If data in your report changes, Domo can notify you by phone or mail, which enables you to act on your data faster. Other team members can also subscribe to alerts and be instantly notified about important updates. 

In addition to extensive no-code functionality, the platform also offers low-code capabilities that allows you to automate workflows and build apps. 

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Features 

• A wide variety of connectors. As Domo’s website claims, the solution can be used to “connect to any source”. Apart from 1000 cloud connectors, Domo provides other options to connect your on-premises and proprietary systems.
• Bi-directional data exchange. The platform offers 24 connectors that work bi-directionally so that you can send transformed data back to the source app where your team can work with it. Apart from that, there are other manual and automated options to send data from Domo back to your systems.
• Drag-and-drop ETL tools. Domo offers a simple visual-based interface for performing data transformations without coding. It also allows you to easily combine data from different sources, as well as perform advanced transformations with SQL scripts in Domo’s SQL Editor.

Connectors review

• Marketing apps: Google AdWords, Pinterest Ads, Bing Ads Analytics
• On-premises: MySQL, Okta, Microsoft SQL Server
• Spreadsheets: Excel, Google Sheets, Smartsheets
• Customer service: Zendesk, Survey Monkey
• CRM: Salesforce, SugarCRM

Pricing policy

Domo doesn’t provide this information publicly, so you will need to contact sales to find out more. A free trial is available.

Who can benefit from this solution? 

Domo will be useful to BI and Ops teams, as well as to professionals working in sales and marketing, finance, and IT. Companies from various industries can benefit from using this tool – for example, retail, media, manufacturing, financial services, and others.

Use cases: 

One of the most typical use cases is automating and streamlining reporting. Organizations often struggle with putting to use all the data they accumulate in different places, and analyzing it also presents a challenge. Domo helps automate this process, which enables analysts to deliver and share reports much faster. 

Apart from automated live reporting, Domo can also be used for IoT (internet of things). The platform allows you to receive data from smart devices, act on it, and send messages back to the devices thanks to Domo’s writeback features. For example, this can be used for point-of-sale systems or smart vending machines.

14. Apache Airflow

Apache Airflow is a batch workflow orchestration platform. This is an open-source Python-based solution that allows you to create, schedule, and monitor automated workflows. It’s a pro-code tool that implements the workflow-as-code approach, so you will need Python knowledge to use it. Although strictly speaking, Apache Airflow is not an ETL tool, you can use it to manage, structure, and organize ETL pipelines.

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Features 

• Workflow automation. Apache Airflow allows you to create complex code-based pipelines, running at specific intervals according to your preferences. Airflow offers flexible scheduling to meet your needs.
• Modern user interface. The web application gives you a granular view of your pipelines and tasks, as well as an overview of your pipelines over time. It allows you to inspect logs, manage tasks, schedule your workflows, and so on – all in a user-friendly interface.
• Customization. As an open-source solution, Apache Airflow can be extended and customized in almost every aspect. This allows you to tailor it to your specific cases and challenges. The tool is supported by an active community.

Connectors review

Airflow offers over 100 prebuilt operators. Although an operator is not the same as a ready-to-use ETL connector, still, these operators can be used to orchestrate pipelines and transfer data from one system to another. Alternatively, you can use Airflow in combination with a more specialized open-source ETL solution, such as Airbite. 

Pricing policy

Apache Airflow is an open source solution, so you can use it for free.

Who can benefit from this solution? 

This solution can be useful to organizations working in various industries. As Apache Airflow is a code-based solution, it’s suitable for professionals that feel comfortable with using Python. 

Use cases: 

As a customizable solution, Apache Airflow can be used for a wide variety of cases. For example, it can help you transfer data, manage your infrastructure, build ML models, and more.

15. Talend

Talend Data Fabric is a low-code data management platform. It has robust data integration capabilities, built-in data quality, and data governance functionality. It allows you to to create data pipelines with a user-friendly drag-and-drop interface and easily manage massive datasets in the cloud or on-premises. With Talend, you can aggregate, access, and manage your data from multiple systems within an all-in-one solution. 

Talend is developed by Click, and it also includes a separate no-code data integration solution, Stitch.

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Features

• An end-to-end platform. Talend is a multi-purpose solution with a comprehensive approach to data automation and data management. It can be used to address a broad range of use cases and is well-suited for enterprise-grade data tasks.
• Data integration functionality. Talend allows you to integrate virtually any data sources and destinations, both on premises and in the cloud. They offer over 1000 data sources and components, with many apps available for bi-directional data transfers. 
• Ensuring data quality. The platform enables you to quickly discover and fix any issues with your data during the transferring process. Talend’s data governance capabilities are backed by robust ML-powered automation. Apart from that, the solution offers a set of cloud-based data preparation tools for data cleaning and transformation.

Connectors review

• Databases: Amazon Redshift, MongoDB, Oracle
• Cloud file systems: Google Cloud Storage, Amazon S3, Azure Blob Storage
• Business apps: Google Analytics, Zendesk, Salesforce
• Messaging: Apache Pulsar, Azure Event Hubs, Kafka

Pricing policy

Talend doesn’t share this information publicly and only provides it upon request.

Who can benefit from this solution? 

Talend can be useful to professionals from various industries and lines of business. For example, financial services, healthcare, government, retail and consumer goods, telecommunications.

Use cases: 

One of the popular use cases is collecting and analyzing data to create a 360-degree view of a customer. Talend can pull information from social media feeds, support applications, and market trends to help you better understand your audience and tailor sales and marketing activities for specific segments.

Another example is integrating SaaS product data with revenue metrics to extract insights for future product development.

List of ETL tools out of the top

There are a lot of great tools that didn’t make it to our top. However, we’ve decided to include three powerful data integration tools that you can also consider when choosing an ETL tool. 

1. Azure Data Factory: This is a serverless data integration service that is fully managed. Since it is cloud-based, Azure Data Factory is flexible and scalable. Because of its pay-as-you-go policy, you get a cost-effective ETL tool. 
2. AWS Glue: Another great cloud-based ETL tool that helps you build and manage your data pipeline is Amazon’s AWS Glue. It is a customizable tool and can be used by both technical and non-technical team members. It supports different data processing methods, including ELT, ETL, and streaming.
3. Pentaho: This is a codeless software that helps you prepare, build, deploy, and analyze data quickly and efficiently. Pentaho is a great tool for enterprises and large companies, but its Community Project plan can also be used by smaller companies.

How to choose ETL tools

Before choosing any tool for your business, you need to do a bit of digging and discover which solution best fits your current needs. For ETL tools, here are a few things you need to consider. 

• Type: Decide which type of ETL tool is right for you. Cloud-based tools are more scalable and flexible, enterprise software tools are powerful and come with multiple features, open-source ETL tools are perfect for small, low-budget, technical teams, and custom tools are ideal for large, tech companies.
• The price: Of course, the price is one of the most important things you should consider before purchasing any tool. As you can see, there are a lot of tools for every budget.
• Usability: Most ETL tools come with various features that might help you integrate and manage data. Make a list of all of the tasks and activities you want to perform with the help of your ETL tool and see which one has them all and fits in your budget.
• Compatibility and connectors: Before choosing a tool, check to see if the software supports all of the sources and destinations you use.
• Management and control: Want to manage and control the tool completely? An enterprise or a custom tool might be the best option for you. Cloud-based and open-source tools are great for those who want a fully managed tool. 
• Support: Each product comes with different support options. If you are looking for more support, then choose a tool that comes with live chat, email, and phone support. However, take into account that some tools have a fee for premium support.

Use ETL tools for your reporting and analytics

ETL tools can help you grow your business and improve your processes. Thanks to their features, you can integrate data and visualize it on a single dashboard. That’s why ETL tools can be used for reporting and analytics. 

For instance, marketing agencies can extract data from various applications like Facebook Ads, LinkedIn Ads, Reddit Ads, and Twitter Analytics to create a complex PPC campaign report. Instead of checking various analytics tools, marketing professionals can have a complete overview on a single, more complex dashboard. Also, this makes it easier for reporting to stakeholders and agency clients. 

Sales teams can also benefit from an ETL’s analytics and reporting capabilities. Sales professionals can extract data from various CRMs and financial tools, transform it, and load it into one dashboard. After that, they can create graphs and charts to report to managers or other departments. 

Want to improve your data visualization and business analytics? Coupler.io provides expert services that will help you analyze data fast to make informed decisions and grow your business faster. 

Increase our list of top ETL tools for data-driven decision-making

ETL tools are extremely useful for businesses that work with a lot of data and want to make data-driven decisions. In our article, we’ve presented 15 best ETL tools that can help you make data-driven decisions. Selecting the right ETL tool is an important step that will impact operational efficiency and business growth. Instead of spending a lot of time on data integration and management, you can use that time to uncover data insights that will allow you to be more effective and scale your business. 

At the same time, this list is not the final one and you can probably discover other solutions that will be a good fit for your business or project. Good luck!

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