Amazon SageMaker Studio Notebooks vs Databricks Notebooks
On the evidence we track, Amazon SageMaker Studio Notebooks leads this comparison with a composite score of 40/100. 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.
Amazon SageMaker Studio Notebooks
LeaderA cloud-based development platform that enables data scientists and ML engineers to prepare data, build, train, and deploy AI models using their preferred IDEs and tools, all within a managed AWS infrastructure.
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.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Amazon SageMaker Studio Notebooks
LeaderPay-as-you-go usage pricing with optional commitment discounts and flat-rate plans; free tier available
Databricks Notebooks
Pricing not documented yet.
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.
Amazon SageMaker Studio Notebooks
Leader- JupyterLab
- Code Editor
- RStudio
- Visual Studio Code
- GitHub
- Amazon EMR
- AWS Glue
- Claude Code
- Gemini
- OpenCode
- Codex
- Asana
- Brave
- Pokee AI
- Tailscale
- TrendMicro Vision One
- Orca Security
- Suger
- Aurora Endpoint Defense
- Cast AI
- LucidLink
- Vanta
Databricks Notebooks
- Tecton
- Fennel
- Apache Spark
- Delta
- Iceberg
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.