Quick answer
Deepnote - Deepnote wins for most builders who want a shared notebook workspace with stronger collaboration and more built-in integrations on the free tier, while Datalore is better if you want unlimited notebooks and a simpler notebook-first setup.
How the free tiers compare
These free tiers are close on paper, but they optimize for different workflows. Deepnote’s free plan is more team-oriented: up to 3 editors, 5 projects, real-time collaboration, comments, dashboards, scheduled runs, terminal access, and a long list of warehouse and storage integrations. That makes it a better fit when the notebook is part of a broader analytics workflow. Datalore’s free Cloud plan is narrower but less boxed in on notebook count: unlimited notebooks, two running in parallel, one shared workspace, one shareable report, plus 120 CPU S machine hours and 10 GB storage. If you mostly need to keep many notebooks around and occasionally run them, Datalore feels less cramped. If you need a shared working space for a small team, Deepnote gives you more free collaboration surface before you pay.
Deepnote vs JetBrains Datalore free tier, side by side
| DeepnoteFTV 62 | JetBrains DataloreFTV 63 | |
|---|---|---|
| Editors / notebooksDeepnote limits team size and project count; Datalore limits collaboration structure less tightly but caps parallel runs. | Up to 3 editors; up to 5 projects | Unlimited notebooks; one shared workspace |
| Running notebooksDeepnote emphasizes always-available basic compute, while Datalore gives a finite monthly compute budget. | Unlimited Basic machines with 5 GB RAM and 2 vCPU | Run two notebooks in parallel; 120 CPU S machine hours |
| StorageOnly Datalore lists storage in the free tier. | Not specified | 10 GB cloud storage |
| Revision historyDeepnote includes a short revision window on free; Datalore’s free-tier history is not listed. | 7 days | Not specified |
| AI usageDeepnote’s free AI is explicitly quota-limited; Datalore’s free AI is described more generally. | Limited Deepnote AI; 10 AI code completions/month; 5 Auto AI calls/month; 5 Generate code calls/month; 5 Edit code calls/month; 5 Explain code calls/month | Coding assistance for Python and other languages |
| Collaboration and sharingDeepnote is more collaboration-heavy on the free plan. | Unlimited viewers, real-time collaboration, commenting, public projects | One interactive shareable report |
After you outgrow the free tier
Both products use per-seat pricing for their first paid cloud plan, then move to custom enterprise/on-prem pricing. Deepnote’s Team plan starts at $39 per editor/month billed yearly and adds unlimited editors, 30-day revision history, background execution, premium integrations, and monthly AI and compute credit buckets. Datalore’s Cloud plan starts at $35 per user/month billed annually or monthly, and adds unlimited notebooks in parallel, more storage, database queries, and Datalore AI. For small teams, Datalore’s paid entry is slightly cheaper, but Deepnote’s free plan gives more collaboration and integration surface before you upgrade. No usage-based overages were provided, so cost comparisons stop at the listed plan prices.
When to pick each one
Pick Deepnote when…
- You have up to 3 people editing the same analytics workspace.
- You need direct connections to common warehouses and cloud stores like BigQuery, Snowflake, Redshift, S3, or Google Drive.
- You want dashboards, interactive apps, terminal access, and scheduled runs in one free notebook environment.
- You are starting a small team project and want real-time collaboration plus comments without paying immediately.
- You only need a few active projects, but want richer notebook workflow features around them.
Pick JetBrains Datalore when…
- You want unlimited notebooks on day one, even if only two run at a time.
- You are working mostly solo and care more about keeping many notebooks organized than about multi-editor collaboration.
- You prefer a notebook platform with built-in cloud storage and CPU hour caps that are easy to track.
- You need one shared workspace and one shareable report rather than a larger collaborative team space.
- You expect to stay within 120 CPU S machine hours and 10 GB storage for a while.
Bottom line
For most builders, Deepnote is the better free-tier choice because it gives a smaller team more of the collaboration and integration stack they actually need to work together in notebooks. Datalore is the better pick if your main constraint is notebook count or you want a lighter solo workflow with clear compute and storage caps. Once you pay, Datalore starts a little cheaper, but Deepnote’s free tier is broader for shared analytics work.
Read the full listings: Deepnote and JetBrains Datalore. Scores use the FTV methodology at /ftv. Browse more head-to-heads on /compare, or see the top-ranked free tiers on /top.