Datalore
Datalore is a collaborative data science platform for exploring, analyzing, visualizing, and sharing data. It provides Jupyter-compatible notebooks with coding assistance for Python, Kotlin, Scala, and R, plus native SQL cells that can send query results into pandas DataFrames. Teams can work on code in real time and share notebooks with view or edit access. Notebooks can also be turned into interactive data stories or static and interactive reports. Datalore AI helps write Python, SQL, and R code, describe findings, and fix errors. Database connections include Amazon Redshift, Azure SQL Database, MariaDB, MySQL, Oracle, PostgreSQL, and Snowflake; AWS S3 and Google Cloud Storage buckets can be mounted as notebook folders. The Cloud Free plan includes 120 CPU S machine hours and 10 GB of cloud storage; the Cloud plan costs 35.00 USD per month. On-Premises supports deployment on 64-bit Linux through Docker Compose or Kubernetes, but not ARM, macOS, or Windows hosts. JetBrains says Datalore deployments are SOC 2 Type II certified and GDPR compliant.
Who it is for
Datalore suits data science teams that need shared notebooks, database connections, and report sharing. Organizations requiring self-hosted deployment can consider On-Premises, provided their hosts meet its Linux requirements.
What is good
- Jupyter-compatible notebooks support four listed coding languages.
- Users can collaborate on code in real time.
- Notebooks can become interactive or static reports.
- Cloud Free includes 10 GB of storage.
What to know first
- Cloud Free allows two notebooks running in parallel.
- Cloud costs 35.00 USD per month.
- On-Premises does not support ARM, macOS, or Windows hosts.
Verdict
Datalore combines notebook work, team collaboration, and report sharing, with both cloud and On-Premises options. Check cloud resource limits or On-Premises host requirements against your setup.
Datalore plans and pricing
All plansCompared on coding playgrounds
- Free plan
- Yes
