We’re happy to announce that Redash is joining Databricks. We’ve been an open-source company grounded in helping our community of users make sense of their data. We found this same culture and values in Databricks, and we’re excited to be able to carry on our vision to democratize access to data — now in a larger home where we can bring this to even more people.
We’re excited to be one of the many open-source projects that Databricks supports. They’re the original creators of Apache Spark™, the standard for large-scale data processing, as well as Delta Lake for reliable data lakes, MLflow for the machine learning lifecycle, Koalas for data science productivity on Spark. Now, Redash joins this community of open source projects for collaborative SQL queries and dashboarding. We look forward to growing the Redash engineering team and have a lot of plans in our road map to deliver an even better experience with Redash, with more functionality, security and support. Open Source Redash remains in its current code repo, and we will be releasing a new v9 shortly so stay tuned for more details.
As part of this acquisition, we will be offering a new way to use Redash from directly within Databricks. For our current Redash SaaS paid customers, your service will continue unchanged, and we will be sharing more details in the coming months on how we’re planning to expand the service. You can learn more in our customer FAQ.
Check out the Databricks blog post on our acquisition.
Arik and the Redash Team