Amazon SageMaker Studio Notebooks vs Deepnote
On the evidence we track, Deepnote leads this comparison with a composite score of 67/100. 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
A 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.
Deepnote
LeaderA cloud-based and locally-deployable workspace for teams to analyze data, create dashboards and data apps, and automate insights. Supports integration with data warehouses and databases, offers real-time collaboration, and includes AI-assisted analysis capabilities.
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
Pay-as-you-go usage pricing with optional commitment discounts and flat-rate plans; free tier available
Deepnote
LeaderFrom $39/editor/month billed annually. Free tier available.
- FreeFree
- Up to 3 editors
- Up to 5 projects
- 7 day revision history
- AI code completion
- Deepnote Agent
- +10 more
- Team$39/editor/month billed annually
- Everything in Free plus:
- Unlimited viewers & notebooks
- Premium integrations
- Background execution
- Scheduled notebooks
- +6 more
- EnterpriseContact sales
- Everything in Team plus:
- Custom contract & invoice
- Priority support
- Dedicated success manager
- Unlimited AI
- +9 more
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.
- GitHub
- Codex
Amazon SageMaker Studio Notebooks
- JupyterLab
- Code Editor
- RStudio
- Visual Studio Code
- Amazon EMR
- AWS Glue
- Claude Code
- Gemini
- OpenCode
- Asana
- Brave
- Pokee AI
- Tailscale
- TrendMicro Vision One
- Orca Security
- Suger
- Aurora Endpoint Defense
- Cast AI
- LucidLink
- Vanta
Deepnote
Leader- Google Workspace
- Okta
- Anthropic
- OpenAI
- Slack
- Azure
- Streamlit
- LangChain
- PostgreSQL
- MySQL
- ClickHouse
- MariaDB
- MindsDB
- BigQuery
- Snowflake
- Redshift
- Amazon Athena
- SQL Server / Azure SQL
- MongoDB
- Databricks
- Trino
- Dremio
- Google Drive
- GitLab
- +3 more
Amazon SageMaker Studio Notebooks or Deepnote: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.