TeamSQL is rebranding as DataRow: Amazon Redshift Management Studio


TeamSQL has been a great platform to experiment with modern UI and powerful features to help you manage your popular databases with collaborative features.

Over two years later after launching TeamSQL in 2016, we've learned a lot about how to make database management better. As we look to the future, we want to take a more focused approach that will help us bring the best database management experience. As a result, we’re planning to rebrand TeamSQL as DataRow, starting with focusing on Amazon Redshift and say goodbye to TeamSQL. All TeamSQL services will be shut down on February 27, 2019 (00:00 UTC).

We introduced the beta of new DataRow to our Amazon Redshift users in January this year, and now it is publicly available to everyone. DataRow comes with new features, which helps you work faster. Visit DataRow's website at DataRow to learn more about how the features in DataRow can help you manage your Amazon Redshift better.

We are always here to help you switch from TeamSQL to the new DataRow with ease. Please contact us at contact us if you have any questions. See you there.


Eren Baydemir CEO

TeamSQL for Amazon Redshift

Download for Redshift Client

TeamSQL is a simple, effortless, extensible and completely free to download Redshift client. You can download TeamSQL for Redshift for Mac OS, Windows or Linux.

TeamSQL has retired and is not available for download anymore!

If you are looking for a client for Amazon Redshift, we encourage you to migrate to DataRow, our web-based client tool, specifically designed for Amazon Redshift.
Get DataRow for Amazon Redshift

Store & Share In The Cloud: With TeamSQL for Redshift, it’s easy to collaborate with your colleagues using saved Redshift queries. Keep, organize, and share your Redshift queries using your private cloud storage.

Visualize Business Data In Charts: You can easily visualize your data in TeamSQL for Redshift by creating bar, area, line, pie, scatter, funnel, and bullet charts, as well as heat maps, using the data you return from your database. You don't need to export your data in Redshift anymore to a separate data visualization or reporting tool.

Executed Redshift Query History: When you're working in a TeamSQL for Redshift query editor window, you'll find a list of Redshift queries that you've run. Not only can you review the work you've done, you can easily reuse the code.

Keep Safe Your Data With QuerySense: TeamSQL for Redshift has some unique features not present in many modern Redshift clients. One of them is a feature called QuerySense which consists in detect any potential data destroy Redshift statement and open a windows to warn you and ask for confirmation.

Inline Editing: TeamSQL supports inline editing of returned data for all your data tables. With inline editing, you can rapidly edit your table via; create, update, delete.

Redshift Code Snippets: Users of Redshift also have snippets available for use, including those for the CRUD (create, read, update, and delete) commands. Explore the Redshift Snippet List.

Teams & Collaboration: You can create teams, making it easy for you to share your TeamSQL for Redshift folders or your queries with a group of people all at once. Most importantly, all of this happens without you having to export your Redshift data and send it (followed by the recipient importing the data).

Search in Database Items: You can use TeamSQL for Redshift's powerful search functionality to find what you need. In addition to running an actual search, you can filter your tables, views, stored procedures and functions.

Table Structure Viewer: Easily view the structure of your Redshift data table. See the total number of columns for the table, the name of the column, the data type it accepts, whether it's a nullable field or not, and any additional details (such as whether the data is signed).

Functional Data Grid: TeamSQL for Redshift's data grid is a powerful part of the client. In addition to displaying the data that you return with your queries, you can use it as you would a spreadsheet -- sort and filter your data without modifying your query.

Supported Database Engines: Download TeamSQL for Redshift and also work with multiple database engines, including: BigQuery, Microsoft's SQL Server, MySQL, PostgreSQL, Redis and Oracle. TeamSQL is completely free to download and use with full features.