Datalore is a collaborative data science platform.
It is available in a managed cloud on the Community and Professional plans for personal use.
The Datalore service can be hosted privately on the Enterprise plan or in a managed cloud
with the Team plan (currently in Beta) for companies.
Datalore is Jupyter-compatible and comes with smart coding assistance for Python, Kotlin, Scala, and R. Each notebook has an isolated environment, integrated environment manager, internal versioning, and integrated storage.
In Datalore you can connect to a wide range of databases from the interface, browse database schema, and then query your data with native SQL cells. You can start working with SQL and then seamlessly continue to work with the query result using Python in the same notebook.
In Datalore you can collaborate on code in real time. You can share notebooks simply using a link or email invitation and set the level of access as either view or edit. You can also organize team projects in workspaces and share the data with your whole team using workspace files.
Turn your notebooks into interactive data stories with a single click. You can hide code cells from viewers and share static or interactive reports with your stakeholders by simply providing them with a link to the report.
Datalore AI helps you write Python, SQL, and R code faster, describe your findings with comprehensive text, and fix code errors – all in the blink of an eye inside your notebooks.
Datalore can be hosted in a private cloud and on-premises by companies that require extra customization and data security. The Enterprise plan includes custom configurations for SSO, environment configuration and computational resources.
The comparison table below highlights some of the main differences between the Community, Professional, Team and Enterprise plans