Databricks vs Deepnote: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Databricks and Deepnote side by side. This page compares data; it is not a hands-on review.
On the data: On the data below, Deepnote leads on a free plan. We do not name an overall winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
Databricks
Unified analytics for data engineering, science, and ML
Deepnote
Collaborative analytics and data science notebook for the AI era.
Best for you if:
- • You want a free tier before you commit
| At a Glance | Databricks | Deepnote |
|---|---|---|
Starts at | Not published | Free plan, paid from $39/editor/mo, billed yearly Team plan |
Category | Big Data Analytics Data & Databases | Analytics Developer Tools |
Rating | 4.6/5 G2 4.6 · Capterra 4.5 1,385 reviews | 4.5/5 G2 4.5 387 reviews |
Free plan | No | Yes |
Watch out for | Separate cloud infrastructure bill on top of DBUs, varying with instance types and usage | Compute overages beyond included credits |
Choose Databricks or Deepnote?
Choose Databricks if
- You need big data analytics features specifically.
Choose Deepnote if
- You want a free tier before you commit
In-Depth Analysis
Databricks
Unified analytics for data engineering, science, and ML
Databricks' pricing, particularly for All-Purpose Compute at $0.20-0.40/DBU and SQL Compute at $0.22-0.65/DBU, can quickly become expensive, and the separate cloud infrastructure bill for VMs, storage, and networking comes on top of DBU charges.
Watch out
Separate cloud infrastructure bill on top of DBUs, varying with instance types and usage
Strengths
- Pro: Unified platform
- Pro: Great collaboration
- Pro: Delta Lake
Weaknesses
- Con: Expensive at scale
- Con: Complex dual billing (DBU plus cloud infra)
- Con: Steep learning curve
Key features
Deepnote
Collaborative analytics and data science notebook for the AI era.
Deepnote's pricing is fair, offering a generous Free tier for individuals and small teams.
Watch out
Compute overages beyond included credits
Strengths
- Pro: AI assistance significantly speeds up data analysis and coding tasks.
- Pro: Seamless collaboration features make teamwork efficient.
- Pro: Supports a wide range of data sources and languages.
- Pro: Ability to create interactive data apps and dashboards from notebooks.
- Pro: Strong security and compliance features suitable for enterprises.
Weaknesses
- Con: Limited Deepnote AI features and compute resources in the free tier.
- Con: Advanced security and deployment options are only available in higher-tier plans.
- Con: Reliance on cloud infrastructure may not suit all data governance requirements without custom deployments.
Key features
Plans and prices: Databricks vs Deepnote
| Tool | Plans and prices | Source |
|---|---|---|
| Databricks |
| databricks.com/pricing read Nov 5, 2026 |
| Deepnote |
| deepnote.com/pricing read Nov 8, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Databricks pricing and Deepnote pricing.
Key Takeaways
Databricks
- Worth considering for big data analytics
Deepnote
- Has a free plan
What the data shows
On the data below, Deepnote leads on a free plan. We do not name an overall winner for this pair.
- User ratings are within 0.2 points (4.6/5 from 1,385 reviews for Databricks, 4.5/5 from 387 reviews for Deepnote).
- Deepnote starts at $39/editor/mo, billed yearly; Databricks has no public paid plan price on file.
- Only Deepnote has a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do Databricks and Deepnote compare in 2026?
On the data below, Deepnote leads on a free plan. We do not name an overall winner for this pair. User ratings are within 0.2 points (4.6/5 from 1,385 reviews for Databricks, 4.5/5 from 387 reviews for Deepnote). Deepnote starts at $39/editor/mo, billed yearly; Databricks has no public paid plan price on file. Only Deepnote has a free plan.
What are Databricks and Deepnote used for?
Databricks: Unified analytics for data engineering, science, and ML. Deepnote: Collaborative analytics and data science notebook for the AI era.
What does Databricks cost vs Deepnote?
Databricks has no public paid-plan price on file. Deepnote's cheapest paid plan is Team at $39/editor/mo, billed yearly; it also has a free plan. Prices read on the vendors' pricing pages, latest check Nov 8, 2026.
What's the main difference between Databricks and Deepnote?
Databricks's main strength: unified platform. Deepnote's main strength: AI assistance significantly speeds up data analysis and coding tasks.
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