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.
TeamSQL Workshop Series
Building Backend Architectures with AWS CloudFormation
This event is best for developers, DevOps and data analysts looking to improve their CloudFormation knowledge and perform best practices for building backend architectures with Amazon Web Services.
The technologies behind TeamSQL backend architecture
VPC, EC2 and RDS usage
General CloudFormation usage
Writing CloudFormation script
Advanced CloudFormation scripts
ElasticBeanstalk Environment Variables and Refs.
Updating Cloudformation Stack
Sample AWS Architecture
D. Can Abacigil CTO, Co-founder at TeamSQL
Eren Baydemir CEO, Co-founder at TeamSQL
Ugur Osmanlioglu Corporate Segment Leader at Amazon Web Services
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Learn more about TeamSQL
TeamSQL is the new way of data management and development with convenient and intuitive interface. We believe at TeamSQL, data is the heart of a company and it is more efficient when a team collaborates on its database management. We work hard to help people analyse their databases better.