TeamSQL is rebranding as DataRow: Amazon Redshift Management Studio

Hello,

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.

Sincerely,

Eren Baydemir CEO

Table Structure Viewer

Easily view the structure of your data table. You can get a brief overview of what your table structure is from the left-hand navigation panel, but you can easily open up a pop-up window that displays complete details. 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).

Database Table Index List

You can also view details about indexes you have on the table -- get the name of the index, column(s) on which you're indexing, type information, whether it is unique or not, and whether it is a primary index or not.

Tutorial: Table Structure Previews
View the table's column definitions, as well as information about any indexes that might be on the table.
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Tutorial: Exporting Data Using TeamSQL
You can easily export the data contained in your database tables in one of the following formats: JSON, CSV AND Tab Separated CSV.
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