Databricks Notebooks vs Deepnote
On the evidence we track, Deepnote leads this comparison with a composite score of 72/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for ml notebooks. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Databricks Notebooks
A unified data platform that serves complex pricing models with sub-millisecond latency by combining historical datasets with instant feature access and structured analytics.
Deepnote
LeaderDeepnote is a data science and analytics platform enabling teams to explore data, create interactive dashboards and apps, and automate analysis with built-in integrations and real-time collaboration.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Databricks Notebooks
Pricing not documented yet.
Deepnote
LeaderFree and Education plans available. Team plan per-seat pricing (monthly or annual). Enterprise custom pricing.
- FreeFree
- TeamPer editor and admin seat, monthly or annual billing
- EnterpriseContact sales
- EducationFree
- Almost all features of Team plan
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Databricks Notebooks
- Tecton
- Fennel
- Apache Spark
- Delta
- Iceberg
Deepnote
Leader- Google Workspace
- Okta
- Anthropic
- OpenAI
- Slack
- GitHub
- Azure
- Streamlit
- LangChain
- Codex
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.