Sheetgo simplifies task management on a spreadsheet. This tool helps users automate data movement between spreadsheets, as well as combine and distribute multiple files. At the same time, Sheetgo offers limited connection to non-spreadsheet sources and apps.
In this regard, you may consider a Sheetgo alternative, Coupler.io, that offers enhanced data integration capabilities. It can sync data from multiple sources to Google Sheet, Excel, and BigQuery. Check out this Coupler.io vs. Sheetgo guide to compare both solutions and determine whether Coupler.io is a practical Sheetgo alternative.
Sheetgo vs. Coupler.io: Comparison table
We’ll start our analysis with a comparison table that summarizes the features and services of Sheetgo and Coupler.io.
|Number of sources|
|Number of destinations|
|Minimum update frequency|
|Filter by query|
|Max number of transfers/runs|
Now let’s dive deeper into what you can get with Sheetgo and what Coupler.io can offer you instead.
What does Sheetgo do?
Sheetgo is a cloud-based platform that allows you to merge data from Google Sheets, Excel, and CSV files into a single spreadsheet. It offers easy connections to multiple cloud storage sources, such as BigQuery, Google Drive, OneDrive, and SharePoint.
Sheetgo does not offer many integrations, so you can’t consider it as one of Skyvia alternatives or other multi-sources solutions. However, you can use some Google Sheets functions instead of Sheetgo.
Native Sheetgo alternatives you may encounter
Sheetgo allows you to automate your workflow in spreadsheets and save you from spending time on mundane tasks. At the same time, spreadsheet apps, Excel and Google Sheets, also provide some actionable built-in functionality:
- IMPORTRANGE – a Google Sheets function to import a data range from one spreadsheet to another.
- IMPORTDATA – a Google Sheets function to import data from published online CSV files.
- WorkBook links – a sort of IMPORTRANGE equivalent in Excel.
- Power Query – a business intelligence tool in Excel to extract data from different sources, transform it and place it on a destination worksheet.
In addition to the native alternatives to Sheetgo, you can also benefit from third-party options, such as Coupler.io.
A Sheetgo alternative to increase your borders
Coupler.io is a cloud-based integration solution. It helps users pull data from multiple sources to Google Sheets, Excel, or BigQuery for data reporting, spreadsheet management, and data visualization. It’s available as a web app and as a Google Sheets add-on.
Sheetgo vs. Coupler.io features
Built-in templates: Sheetgo offers built-in business templates. The templates cut across different categories: finance, marketing, sales, inventory, education, manufacturing, human resources, and project management. The templates allow you to receive automatic data updates, measure business performance and connect multiple spreadsheets.
Data filtering: Sheetgo allows you to merge data from multiple spreadsheets into one master sheet and vice versa. It provides options to filter the data by color, text or value, and column during the data transfer process.
Two-way syncing: Besides one-way syncing from data source to destination, Sheetgo supports two-way syncing. With it, you can transfer data from the destination file back to the source database for analysis, but you can’t modify the same data in different spreadsheets.
Automatic data refresh: Coupler.io solves the problem of manually copying and refreshing large datasets through its automation feature. You can control and customize the schedule for data updates at different intervals starting with every 15 minutes.
Import mode: Coupler.io provides data syncing through the Append and Replace import mode. At the Replace mode, the entire dataset from the source is imported to the destination. At the Append mode, only the new records are imported from a data source and added below the previously imported data. It’s suitable for tracking historical data changes in a spreadsheet.
Integrability: Accessing data from multiple sources is an essential aspect of data analysis. Currently, with Coupler.io, you can import data from 25 apps for data analysis. Besides, you can export data to one of the three sources: BigQuery, Google Sheets, and Excel. Moreover, Coupler.io allows you to set up connections to the JSON APIs without coding.
Two-way syncing: Coupler.io supports two-way sync for its destination apps – BigQuery, Google Sheets, and Excel. So, similar to Sheetgo, you can move data from the source file to the destination file and vice versa.
Sheetgo vs. Coupler.io benefits
- Workflow Management: You can connect data from the same file type (e.g., Google Sheets to Google Sheets) and different file types such as Google Sheets, CSV, and Excel.
- Time Management: Manually updating spreadsheets is time-consuming. But with Sheetgo’s automation feature, users can set automatic updates to manage the frequency of data updates. The automation feature enables you to access updates in real-time without manually copying and pasting the data.
- Transfer Formatting: During data import, you can preserve number formatting, such as date-time, currencies, etc. and cell color and text formatting, such as font style, borders, font size, etc. However, you can’t transfer formatting across different cloud storage platforms. For Excel files, cell color and text formatting are not available.
- Automation: You can schedule automatic data refresh with a few clicks. This allows you to conserve energy on lengthy and manual data compilation processes.
- Data integration: You can import data from more than 25 sources to BigQuery, Google Sheet, and Excel on OneDrive. These include accounting apps, such as Xero and QuickBooks, CRM tools, Pipedrive and HubSpot, and many more.
- BigQuery as a destination: In addition to spreadsheet apps, Google Sheets and Excel, Coupler.io allows you to automate data import to BigQuery.
- No code API connection: With Coupler.io, you can automate data import on a schedule from JSON APIs without any coding.
- Data consultancy: Coupler.io provides data analytics consulting services that are meant to help you achieve data-driven decision-making. These services include setting up a data management infrastructure, building dashboards and even visualizing data. So, you can consider Coupler.io as a Databox alternative or the option to opt for instead of other BI tools.
Coupler.io vs. Sheetgo in action
Let’s compare the setup flow for each tool.
How Sheetgo works
You can use Sheetgo as a web app, a Google Sheets add-on, or an Excel add-in. Basically, the setup flow looks like this:
You can sign up with your Microsoft, Google, or Dropbox accounts. Click on + Create workflow => Connect files.
Next, you’ll need to complete two steps:
- Source data
- Select where to load data from: a spreadsheet file (Google Sheets, Excel, CSV, or TSV), multiple files, a folder, or from BigQuery. Choose your source file/files/folder.
- Select an action for your source data: filter data (by condition, query, or color) or send data.
- Select a folder, a file, and a tab to load your data to. At this step, you can also enable the append data feature, lock the destination tab, and parse data option.
After the successful import, you can use the Automate option to schedule automatic data updates.
How Coupler.io works
You can use Coupler.io as a web app or a Google Sheets add-on. The setup flow looks slightly similar to the one of Sheetgo, but with Coupler.io you can set up automation right away.
Sign up to Coupler.io with your Google or Microsoft account. Click the + Add new importer button, name your importer and select the source and destination applications. Then configure each of them::
- Depending on the chosen source application, you need to connect to it and set up basic and optional parameters. For example, if you selected Google Sheets as a source app, you’ll need to choose a file and a sheet to import.
If you select multiple sheets, they will be consolidated into one master view.
- Connect to the chosen app and specify where to load your data. For Google Sheets and Excel, you need to select a file and a sheet to load data to. For BigQuery, you need to enter the name of a dataset and a table.
- You can also configure optional parameters such as the import mode, last update column, and cell address.
- Toggle on the Automatic data refresh and customize the frequency for your updates.
Here is what a Google Sheets to Google Sheets importer may look like:
Click Save and Run to save the configuration and make your first import.
Still not sure which one between Sheetgo and Coupler.io to choose? Well, let’s see how they look in terms of usability, pricing, and support.
Usability of Sheetgo vs. alternative
Setting up Sheetgo and Coupler.io tools is easy. For Sheetgo, you can create an account using your Google, Microsoft, or Dropbox accounts. Similarly, with Coupler.io, you can create an account using Google or Microsoft accounts.
For swift spreadsheet management, both software tools are available as a Google Sheets add-on. But only Sheetgo is available as an Excel add-in.
Both tools’ setup flow looks similar, but Coupler.io provides a schedule step right out of the box. Whereas in Sheetgo, you need first to make the first run and then automate the update if your subscription plan allows.
Coupler.io vs. Sheetgo pricing
Speaking of subscriptions. Sheetgo offers free and paid versions. The free version has limited functionalities. For instance, for the free version, you can only import data from a maximum of three sources per connection. And no automation is allowed.
As for the paid plans, they start with $20/month for 500 transfers if billed annually. The monthly billing will cost more – $26.7 You can increase the number of transfers to 1000, and the price will grow to $39/month.
The second paid plan, Business, starts with $58/month per account for 1,500 transfers. If you pay monthly, this number grows to $77.3/month. You can increase the number of transfers up to 5,000 per month at the cost of $164/month. You can try out each of the plans for free with a 7-day trial.
Coupler.io does not offer a free plan, but it provides a 14-day free trial to test all the features and integrations available.
The lowest-paid plan costs $24/month; the Squad plan costs $99/month and the Business – $249/month if billed annually. By the way, the trial period is twice more than in Sheetgo.
In terms of pricing, Coupler.io does not look as a winner compared to Sheetgo. However, if you’re looking for a cheaper Supermetrics alternative, it will be so.
Customer support of Sheetgo vs. Coupler.io
Sheetgo provides various forms of customer services to improve users’ onboarding process. The free plan is prebuilt with a help center that offers tutorials about Sheetgo products. Other paid plans provide chat and video support and training sessions from experts to help users.
Coupler.io provides customer support, a help center, a blog with useful materials, and a YouTube channel with explanatory videos.
Sheetgo vs. Coupler.io – pros and cons
Let’s put Sheetgo and Coupler.io face to face and find out their pros and cons in the table below:
Free plans have automatic updates only during free trials. Also, free plans don’t provide connections to multiple files.
Overall score or should you consider any alternatives to Sheetgo?
The verdict – there is no undisputed winner in this race. Coupler.io wins in terms of integration capability and automation orientation. Probably, the more diversified pricing is also a benefit compared to what Sheetgo offers. So, if you have multiple sources and even need to automate data load via APIs, this is your choice. And yes, BigQuery adepts should probably add this tool into their toolbox as a worthy Hevodata alternative or a more affordable alternative to Stitch data as well.
Sheetgo has its aces in the hole in the form of prebuilt templates. Moreover, it’s more focused on spreadsheet data transfer across different cloud storage sources, such as Google Drive, Dropbox, OneDrive, and SharePoint. So, if this is the area for your data, then probably you should keep it with Sheetgo.
However, the best advice would be to check out both tools and see how they perform. Good luck!Back to Blog