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Collaborative data science platform for teams
Even though data security and privacy have always been one of the top priorities for JetBrains, we are excited to announce that we have received the SOC 2 audit report. The scope of the report includes Datalore along with other JetBrains products.
a unique kind of newsletter – like a TV show but about data. Get ready to dive into the lives of our two DataLeaders, Sarita and José, as they navigate the data-related challenges of 2024.
Datalore Enterprise 2023.6 offers an improved UI, introduces OAuth authentication for Snowflake and BigQuery, and brings a number of other improvements and bug fixes.
Today, we’re introducing a redesign that aims to make Datalore notebooks appear simpler, cleaner, and ultimately more zen.
Learn why LINE selected Datalore as their new data analysis platform.
Datalore Enterprise 2023.5 enables you to conveniently open recent notebooks from the editor, features database connections using custom JDBC drivers, and more.
Datalore Enterprise 2023.4 includes comments for notebooks and reports, a new Viewer license type, report sharing via email invitations, and other improvements
We are introducing our new Team plan, which is currently in Beta. It's a fully-managed data science platform that operates in the cloud hosted by JetBrains, offering an alternative to our existing Enterprise plan hosted on your infrastructure.
We're introducing a new feature in Datalore called Ask AI. It aims to simplify coding in Python, R, and SQL by supporting code generation and modification through natural language commands.
This version includes authentication via HashiCorp Vault for Amazon Athena, multiple notebook schedules support, flexible drag-and-drop, and other improvements.
Different analytical tasks have different computing requirements. Depending on the complexity of your project, the computing power you need can vary significantly from month to month. That's why we're introducing the option to purchase extra Datalore credits. Read more.
This version brings native R package support for R users, and elevates your collaborative data science experience with notebook content search, environment variable management, and usability improvements for the Report builder.