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Top 10 Data Integration Tools in 2023

Efficient decision-making is driven by insights derived from data. Data is usually spread across different apps and sources. You could analyze each source separately, but this wouldn’t be efficient since you lack the whole picture of data comprehension. With this in mind, you need to bring data from these sources in a single place to have a unified view. This process is called data integration, and it’s an essential part of data analytics. 

In this guide, we collected the best data integration tools and software that you can use to automate the flow of data for different purposes. 

TL;DR – Top 5 data integration tools comparison table

Not all readers will cope with the entire text, so we decided to introduce a TL;DR version for such enthusiasts. It’s a selection of the top 5 data integration tools extracted from a bigger list of the best 10 tools for data integration. You can try out one of these right away. 

However, we’re confident that you’ll get more valuable information if you read this post to the end.

FeaturesTypical userPricing
A data automation and analytics platform
  • Automatic data refresh
  • Data stitching
  • Selectable import mode
  • Marketing experts
  • Product managers
  • Data analysts
  • Business owners
  • From $49 monthly
    A data pipeline platform to connect apps and data warehouses
  • Automated schema management
  • Pre-load and post-load data transformation
  • Hevo API
  • Data analysts
  • Software engineers
  • CTOs
  • From $239 monthly
    A collection of code-free integrations to load raw data from apps, files, databases, and APIs
  • Automatic data type detection
  • Pre-built SQL queries
  • Automatic data updates
  • Marketers
  • Product managers
  • From $399 monthly
    A data warehouse integration platform
  • Low to no-code data transformation
  • Data stitching
  • Reverse ETL
  • eCommerce usersUpon request
    A data integration platform to connect data sources and BI tools
  • Headless data integration
  • SmartCache storage
  • Snapshotting
  • Data engineers
  • BI specialists
  • Data analysts
  • From $99 monthly

    Now let’s discover more about these lucky five and the rest of the tools that we collected in our list of the best data integration solutions.

    What are data integration tools?

    A data integration tool is a software solution to transfer data from a source app to a destination app. 

    Data integration tools are meant to automate the process of data integration by eliminating manual routines. Instead of copying and pasting records or exporting CSV files with the required information, you can connect the source and destination apps. This connection will ensure a scheduled or triggered data flow that will save time and significantly improve the efficiency of your processes.

    Below, we’re introducing a list of the top 10 data integration tools you should consider. But first, let’s figure out how you can classify different types of data integration tools.

    Types of data integration tools

    There are different types and categories of data integration software. They can be grouped by the typical user, the purpose of automation tasks, and other criteria. Below is the common split of data integration tools in the three groups.

    Code vs. no-code tools for data integration

    • No-code data integration tools allow you to integrate apps for automated dataflow without any coding. Such software tends to have an intuitive user interface, be quick to set up, and can be used by both technical and non-technical users with ease. 


    • Code-based data integration tools are usually represented by open-source ETL solutions. They allow you to set up integrations using simple commands via the premade scripts for a specific programming language. 


    Cloud vs. on-premise data integration tools

    • Cloud tools for data integration are represented by SaaS solutions, specifically IPaaS – integration platform as a service. These integration services are operated as web apps – you can set up and run data integrations right from your browser. You don’t need to download or install a cloud data integration tool, with the only exception of add-ons that such tools can provide additionally.


    • On-premise tools for data integration include the software that you need to install on your computer to manage data integration. Currently, there are not many dedicated on-premise tools, and this category mostly covers the on-premise software that provides data integration functionality.

    Example: SAP

    Open-source vs. licensed (proprietary) data integration software

    • Open-source data integration software is mostly represented by code-based solutions for tech-savvy users. Open source means that you’ll get these tools for free, but you need coding skills to set up and manage data integrations.


    • Licenced or proprietary data integration software is represented by the majority of SaaS solutions that you can find in the market. These data integration tools have billing models and are optimized for different categories of users.


    Each of the top data integration tools that we’ve selected fell under different groups. For example, is a no-code cloud-based licensed data integration platform, and is a code cloud-based open-source software. Let’s check out other solutions on our list.

    10 best data integration tools

    #1 – 

    11 coupler logo is a data automation platform that allows you to integrate data to three destinations: Google Sheets, Microsoft Excel, and Google BigQuery. As for the sources to export data from, these include different apps for marketing, analytics, time-tracking, etc. The list of supported sources constantly grows, and you can even participate in it with your preferences. can be considered a no-code ELT or ETL tool (depending on the data source). However, in a broader sense, it’s a data integration platform providing data analytics consulting services from simple data automation to setting up advanced analytics and data management for your business. So, you can not only integrate your data from multiple sources but also get it visualized and analyzed with the help of a fancy dashboard.

    What features offers

    • Automatic data refresh – to customize a schedule for data exports.
    • Data stitching – to stitch data together from different sources.
    • Import mode – to replace or append newly imported records in the destination.

    What integrations supports

    • Marketing apps: e.g., Mailchimp, Google Ads
    • CRM apps: e.g., Pipedrive, HubSpot
    • Cloud drives: e.g., OneDrive, Google Drive
    • Time-tracking apps: e.g., Clockify, Harvest
    • Databases: e.g., Airtable, MySQL
    • Spreadsheet apps: e.g., Google Sheets, Excel
    • Ecommerce: e.g., Shopify, WooCommerce pricing 

    You can try out all features with a 14-day free trial. If you like it (we are sure you will 😉), you can sign up for one of three subscription plans:

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

    Each plan offers a specific set of integrations and limits. Optionally, you can purchase sources missing at your chosen plan, which is very useful if you only need to add one integration without changing your subscription. pricing new2

    The pricing for data services is not disclosed since each project is customized separately based on the specified requirements. 

    Who is best for? is a useful solution for different categories of business users united with the goal of making data-driven decisions. With the help of this data integration platform, you can not only configure dataflows but also extract insights from your data integrated from multiple sources. is a powerful tool for marketing experts, product managers, small-to-medium business owners, accountants, financial specialists, data analysts, and other data-thirsty users.

    #2 –

    2.0 hevodata

    Hevodata, or simply Hevo, is a data pipeline platform that allows you to create ETL or ELT connections between apps and data warehouses. The number of supported sources is huge – more than 150 apps for different sorts of analytics. The list of destinations, data warehouses, is limited to 9, including Google BigQuery, MySQL, PostgreSQL, and others.

    Hevo, being a platform, offers two products. Hevo Pipeline is meant to ensure data migration from apps to data warehouses. With Hevo Activate, users can reverse the data flow from a data warehouse to a marketing, sales, or business app. So, Hevo allows you to both integrate and disintegrate data without coding. 

    What features Hevodata offers

    • Automated schema management – to keep your destination in sync regardless of how the source data changes.
    • Pre-load and post-load data transformation – to control how data lands in your warehouse and automatically prepare it for analytics. 
    • Hevo API – to easily integrate Hevo into your data workflows.

    What integrations Hevodata supports

    • Marketing apps: e.g., HubSpot, Active Campaign
    • Sales and support apps: e.g., Typeform, Zendesk
    • Product analytics apps: e.g., Google Analytics, Mixpanel
    • Finance and accounting apps: e.g., Chargebee, NetSuite
    • Databases and file systems: e.g., MongoDB, MS SQL Server
    • Engineering analytics apps: e.g., ElasticSearch, Kafka

    Hevodata pricing 

    Similar to, you can start your introductory journey at Hevo with a 14-day free trial. After the trial period, you can proceed using Hevo for free with a limited set of integrations and features. Or, you can become a Hevo paid user starting from $239 per month for the Starter subscription plan at Hevo Pipeline.

    2.1 hevodata pricing

    Hevo Activate only offers the Starter subscription plan starting from $199 per month.

    Oh, and if you have a large data team with many data sources and volumes of data going beyond the horizon, you can open up the Business plan to get a custom quote tailored to your requirements.

    Who is Hevodata best for?

    Hevo seems to be a good choice for data analysts, software engineers, CTOs, and many other data experts. 

    #3 –

    3.0 panoply

    The word ‘panoply’ means an extensive or impressive collection. is a cloud platform that offers a collection of code-free integrations to load and analyze raw data taken from apps, files, databases, and APIs. The loaded data is stored in Panoply’s centralized data warehouse, which you can connect to an analytical or BI tool for different data analysis tasks, such as building interactive dashboards.

    The logic of using Panoply differs from the one at or Hevodata. You only need to select a source to get data from and, optionally, a Business Intelligence tool for analytics. You’re not supposed to select a destination, since the data lands in a managed data warehouse. 

    What features offers

    • Automatic data type detection – to automatically detect types of data loaded from your source apps.
    • Pre-built SQL queries – to optimize your workflow with the imported data stored in the managed data warehouse.
    • Automatic data updates – to sync your sources with the data warehouse to keep the data up-to-date. 

    What integrations supports

    • Accounting apps: e.g., QuickBooks, Chargebee
    • Advertising apps: e.g., Facebook Ads, Taboola
    • BI apps: e.g., Tableau, Count
    • Cloud storage apps: e.g., Google BigQuery, Amazon Redshift
    • CRM apps: e.g., Salesforce, Eloqua
    • Databases: e.g., Amazon DynamoDB, Heroku Postgres

    And a lot of other apps for marketing automation, eCommerce, retail, sales, project management, etc. pricing

    Conventionally, they say you can try for free. Unconventionally,  they call it proof of value, not a common trial, and you get 21 days to decide whether this solution suits your needs. After that, you can choose one of the following subscription plans:

    • Lite for $399 monthly
    • Basic for $1089 monthly
    • Standard for $1719 monthly
    3.1 panoply pricing

    Panoply also provides a separate option for custom requirements.

    Who is best for? targets a wide range of use cases and users, including marketers, product managers, and so on. However, data analysts seem to be the ones who can benefit most from this data integration platform and its managed data warehouse, where you can operate raw data loaded from your source apps.

    #4 –

    4.0 is a data warehouse integration platform. It is a young brand, with the marketing being launched on December 15, 2021. However, was born from the merging of four companies Xplenty, DreamFactory, FlyData, and Each of these companies represents offerings available on the platform:

    • ETL and Reverse ETL (Xplenty) to build easy low-code ETL & reverse ETL pipelines.
    • ELT and CDC (FlyData) to implement real-time data replication.
    • Data Warehouse Insights ( to run data warehouse analytics.
    • API Generation (DreamFactory) to generate instant APIs for enterprise data sources.

    With, you can collect data from over 200 data sources to the public or private cloud, or on-premise infrastructure. From there, the data can be transferred to the preferred destination. Moreover, before the final transfer, you can transform and cleanse the data.

    What features offers

    • Low to no-code data transformation to get the data transformed right before it lands in your data warehouse. 
    • Data stitching to combine data from different sources and send it to one single destination.
    • Reverse ETL to transfer fresh and relevant data from your data warehouse to the required apps.

    What integrations supports

    • Databases: e.g., Amazon Aurora, MongoDB
    • Marketing apps: e.g., Campaign Monitor, Asana
    • Advertising apps: e.g., LinkedIn Ads, Bing Ads
    • Finance apps: e.g., Stripe, Xero
    • BI apps: e.g., Looker, Chartio
    • Cloud services: e.g., Atlassian, Amazon Kinesis pricing

    Hmm… while we were making this text, there was no pricing page at The only available information about pricing was laid out in a blog post. However, it still did not provide many details. So, it’s most likely that their product team is working on an updated pricing model. We’ll do our best to accordingly update this article so you can have up-to-date information. 

    Who is best for? targets eCommerce users claiming that their platform can be a single source of truth for making data-driven decisions to operate and improve their business processes. At the same time, the number and type of integrations can be handy for different users who need to streamline real-time reporting or build reliable forecasts.

    #5 –

    5.0 dataddo

    This is another data integration platform that claims to grab your data from any source and send it to any destination, including BI tools and dashboarding apps like Power BI, Tableau, etc. In addition to integrating data and building ETL pipelines, Dataddo supports reverse ETL and data replication.

    Currently, you can enjoy 200+ prebuilt connectors at Dataddo. However, if you haven’t found the one you need, you can tell them about it, and they’ll build it! They say that this will cost nothing and take around 10 business days. 

    What features offers

    • Headless data integration to forget about constant API changes, pipeline maintenance, and scalability issues with the help of the unified Dataddo API.
    • SmartCache storage to store your data long-term without the need to provision any external storage, including datawarehouses, databases, etc. 
    • Snapshotting to create data footprints of a source at a particular point in time.

    What integrations supports

    • Sales & marketing apps: e.g., Teamleader, Zoho CRM
    • Analytics apps: e.g., SEMrush, Google Analytics
    • eCommerce apps: e.g., Shopify, Amazon Seller
    • Project Management apps: e.g., Jira, Asana
    • Storages and files: e.g., Google Sheets, Oracle DB
    • Social apps: e.g., Instagram Ads, Twitch pricing

    You can start your journey with Dataddo with the regular 14-day free trial. After that, you can carry on using it for free if the 3 dataflows to any visualization tool cover all your data integration needs. If not, then you can consider the following options:

    • Data to Dashboards from $99 monthly for 10 dataflows 
    • Data Anywhere from $99 monthly for 3 dataflows 
    5.1 dataddo pricing

    For projects with more sophisticated requirements, Dataddo provides the Headless Data Integration plan.

    Who is best for?

    Dataddo targets a wide range of users, including data engineers, marketers, BI specialists, data scientists, sales representatives, data analysts, business owners, and finance officers.

    #6 –

    6.0 is  an automation platform. This means that it not only allows you to integrate apps but also configure complex workflows with triggers and customized logic. is marketed as a low-code solution since you can create automations using clicks-or-code functionality.

    In terms of data integration, rests on the power of connectors. To kick off a movement of data between apps, you need to set a trigger (it can be a schedule as well), select source apps, and specify how to format the grabbed information and what to do with it. The latter, in most cases, means choosing the destination app. However, you can also send an email or trigger another notification.

    What features offers

    • Automated data transformation to transform data between apps with different helpful operations such as math calculations, text formatting, etc.
    • Flexible logical operators to build complex multi-step workflows.
    • Dev friendly capabilities to use the clicks-or-code functionality to configure your workflow.

    What integrations supports

    • eCommerce apps: e.g., Shopify, Box
    • Marketing apps: e.g., HubSpot, Google Analytics
    • Finance and accounting apps: e.g., Xero, QuickBooks Online
    • Customer success and support: e.g., Typeform, Calendly
    • Sales apps: e.g., Hunter, Salesforce
    • Databases: e.g., Oracle Database, Microsoft Azure SQL Database pricing

    Tray platform does not disclose pricing for its plans, but we know that there are three of them: Professional, Team, and Enterprise. You can book a demo to learn more about what you can get and how much this will cost.

    6.1 trayio pricing

    Before this, you can also request a 14-day free trial, so you can test Tray for your project.

    Who is best for?

    Tray is a multiuser solution since it supports a wide range of workflow automation and data integration options. Besides, it can also be a good fit for a dev team offering database connectors, advanced debugging of logs, and other functionalities. 

    #7 –

    exalate logo

    Exalate is an integration solution with a built-in scripting engine that ensures the security and customizability of your data sync. Groovy scripts can easily handle complex synchronization scenarios with multiple dependencies and custom data mappings.

    Exalate is installed as a dedicated app on each side. Data transfer is secured with the help of the JWT token and the shared data is encrypted at REST. You can deploy it as a cloud-based or on-premise solution.

    What features offers

    • Deep Integration to allow synchronization of any data available via APIs, to set custom mappings, and robust triggers.
    • No-code and script-mode configuration to cover all use cases from basic to the most complex ones
    • Single-tenant cloud infrastructure and distributed architecture to keep data secure and to give each side of the connection granular control over data

    What integrations supports

    • ITSM systems: e.g., Zendesk, Jira Service Management
    • CRMs: e.g., Salesforce
    • Issue trackers: e.g., GitHub, Jira Software
    • Project management tools: e.g., Jira, Azure DevOps
    • Change management: e.g., HP ALM/QC
    • Enterprise work management systems: e.g., ServiceNow pricing uses two approaches to pricing. For Jira, it’s volume pricing per user, billed per instance. While for other platforms, it’s a flat fee, billed per instance. Also, Free plan is available.

    exalate pricing

    Also, Free plan with limited set of features is available.

    Who is best for?

    Exalate targets a wide range of users and use cases. Including startups and enterprises of any size looking to streamline communication between support and engineering, customer success and product, MSP/MSSP and clients.

    #8 –

    7.0 skyvia

    Skyvia is a multi-purpose platform to automate tasks, such as data integration, backup, querying, and connecting apps. The data integration process at Skyvia covers data import and export, as well as data replication and data synchronization. 

    Unlike the previously introduced tools, Skyvia has a task or case-based logic of making integrations between apps. This means that you need to first define what task you need to make, for example, connect apps, and then configure this connection. At the same time, some apps supported by Skyvia can not be used for specific tasks. For example, backup is available for around 40 apps, while the total number of supported connectors is above 100.

    What features offers

    • Data Flow designer to implement real-life data integration scenarios for your needs.
    • Control Flow designer to build custom data integration logic, for example, custom error processing.
    • Bi-directional synchronization to connect two data sources and keep them in sync automatically.

    What integrations supports

    • Databases: e.g., Amazon Aurora, MariaDB
    • Time tracking apps: e.g., Timely, QuickBooks Time
    • Developer tools: e.g., GitHub, Azure DevOps
    • Project management apps: e.g., Amplitude, Podio
    • Payment processing apps: e.g., Square, Zuora
    • Marketing automation apps: e.g., Marketo, Reply
    • Email marketing apps: e.g., Mailchimp, SendGrid pricing

    Skyvia offers case-specific pricing plans that differ for data integration, backup, query, and connect. For data integration, there are 5 plans:

    1. Free
    2. Basic for $15 monthly
    3. Standard for $79 monthly
    4. Professional for $399 monthly
    5. Enterprise
    7.1 skyvia pricing

    Unlike its competitors, Skyvia does not offer a free trial, but it compensates for this with a free plan which lets you try the benefits you can get with this tool.

    Who is best for?

    It’s hard to say who Skyvia’s target user is since the cases it offers are rather extensive. We assume that a wide range of users can benefit from the option provided by this data automation platform starting from customer success experts to data analytics.

    #9 –


    After no-code and low-code data integration platforms introduced above, we can talk about a tool that stands out on this list being an open-source and code-based solution. is a CLI-based tool that allows you to build ETL pipelines using two types of scripts:

    • Taps to extract data from a source 
    • Targets to load data to a destination 

    You can use these scripts in any combination to stream information from databases, apps, web APIs, and files to different destinations: Google Sheets, Google BigQuery, Magento BI, Stitch, PostgreSQL, and CSV. If some source or destination is missing, you can develop your own taps or targets.

    What features offers

    • Unix-inspired scripts to connect sources to destinations.
    • JSON format to exchange data between sources and destinations.
    • Custom scripts to enhance your data integration capabilities. 

    What integrations supports

    • Marketing apps: e.g., HubSpot, Active Campaign
    • Advertising apps: e.g., Typeform, Zendesk
    • Product analytics apps: e.g., Google Analytics, Mixpanel
    • Finance and accounting apps: e.g., Chargebee, Stripe
    • Databases and file systems: e.g., PostgreSQL, Google Sheets
    • Developer apps: e.g., GitLab, GitHub pricing

    This is the best part of – it’s open source hence free. 

    Who is best for? is a perfect app for tech-savvy users, such as data analysts and data engineers who want to make their data integration customizable. 

    #10 – Sheetgo

    9.0 sheetgo

    Sheetgo also stands out of the above-mentioned tools although it’s no-code. The thing is that it’s designed to create intelligent workflows within a limited set of apps: BigQuery, Excel, Google Sheets, Google Docs, and Gmail. You can integrate data from multiple spreadsheets, connect spreadsheets to BigQuery, send files as email attachments, etc. If your data integration tasks circle around spreadsheets, then you should consider this tool as an option.

    What features Sheetgo offers

    • Powerful data processing to automatically connect and transform (split, merge, or filter) your data.  
    • Built-in templates to get ready-to-use automations such as invoice generator or timesheet tracking.
    • Two-way syncing to transfer data back and forth between the source and destination files.

    What integrations Sheetgo supports

    • Google BigQuery
    • Google Sheets
    • Google Docs
    • Gmail
    • Microsoft Excel

    Sheetgo pricing

    You can start using Sheetgo for free with a corresponding subscription plan. At the same time, the tool offers a free 7-day trial to check out all the features and functionalities under Sheetgo’s hood. The paid plans include:

    • Professional for $20 monthly
    • Business for $58 monthly
    • Enterprise – custom pricing 
    9.1 sheetgo pricing

    Who is Sheetgo best for?

    Sheetgo is a tool for teams actively using spreadsheets in their activities. You can’t integrate data from marketing or project management apps with Sheetgo, but you get a powerful tool to manage spreadsheet data integration.

    #Bonus –

    10.0 apipheny

    One thing that differentiates this data integration solution from other options on the list is that it’s only available as a Google Sheets add-on. Once you install it, you need to configure a request to the web API of the required source. This means that you’ll need to read the API documentation to get an API URL with an endpoint, access key or token, headers, body, and other essential parameters. So, basically, is a DIY connector but without coding.

    The 10th place on our list of top data integration tools is taken by, a solution to integrate data in Google Sheets. However, there is a catch here – does not provide ready-to-use connectors to data sources. Instead, you need to build them yourself using the web API. 

    What features offers

    • GET, POST, PUT, PATCH, and DELETE request methods to manage back-and-forth data streams with the target web API.
    • APIPHENY function in Google Sheets to optimize your workflow with the connections you created.
    • Scheduled API requests to automate your requests to the chosen web API on a schedule.

    What integrations supports

    With, you don’t have ready-to-use integrations, but you can build those yourself using the desired source’s API. pricing

    Guess who offers the longest free trial period of all the best data integration tools? 😀Yes, lets you use it for 30 days for free. After this, you can proceed with one of the following plans:

    • Monthly plan for $12 per month
    • Lifetime plan for $249 as a one-time payment
    • Annual plan for $132 per year
    10.1 apipheny pricing

    It’s quite an unusual pricing model compared to most other data integration solutions on the market. Nevertheless, it works for specific customers who need to integrate data from web APIs.

    Who is best for? is definitely a specific tool that is designed for tech-savvy users. Although it’s no-code, you’ll still have to tinker with API documentation, including authentication methods, pagination, and other specifics. Another hallmark of this data integration tool is that it only has one destination – Google Sheets. So, Apiphany’s target user is a data engineer or CTO in a startup company or small business that relies on Google Sheets for most of its processes. 

    Is this a complete list of data integration tools?

    Definitely not. We’ve only selected the 10 best data integration tools based on our criteria, but you can always go beyond this list. In addition to dedicated tools for application integration, there are BI tools that provide in-built functionality for data integration. For example, Looker (formerly, Data Studio) or Power BI will let you build pipelines with different CRM apps, marketing tools, and so on. However, these functionalities can be limited compared to the dedicated data integration software. 

    An alternative selection of top data integration tools 

    Anyhow, we decided to share an alternative selection of data integration platforms that we’ve not included in our top list. 

    1. – a solution to build ETL pipelines for data teams.
    2. Informatica PowerCenter – an enterprise data extraction software that offers advanced features for data governance and integration. 
    3. SnapLogic – an enterprise iPaaS to automate application, data and cloud integration.
    4. – a data integration platform to sync data sources with data warehouses.
    5. – a flexible platform to unify sales and marketing data in data warehouses and data lakes.
    6. – a cloud-based SaaS to replicate business data in cloud storage.
    7. – an SaaS ELT platform to perform different data operations, including data ingestion, transformation, orchestration, and activation.
    8. Boomi – an integration platform to connect cloud applications and automate workflows.
    9. – an API connector for Google Sheets. 
    10. –  a data integration platform to unifiy all your data pipelines.

    Integrate data wisely using data integration platforms

    The number of high-performance data integration platforms available in the market has increased significantly with the rise of big data. Choosing a proper data integration tool is not as easy as it may seem at first glance. When selecting, you need to consider your data integration needs, platform scalability, data quality, integration methods, data analytics infrastructure, budget, etc. 

    By considering these factors, you can choose a data integration platform that meets your needs and helps you achieve your goals. With the right platform in place, you can aggregate, manage, and analyze your data sets with ease, and make more informed decisions based on accurate, up-to-date information. Choose wisely and good luck!

    • Zakhar Yung

      A content manager at whose key responsibility is to ensure that the readers love our content on the blog. With 5 years of experience as a wordsmith in SaaS, I know how to make texts resonate with readers' queries.

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