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Deepnote vs Databricks

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated October 2026
Deepnote logo

Deepnote

Deepnote

Collaborative analytics & data science notebook

Freemium
81% verification coverage
VS
Databricks logo

Databricks

Databricks Inc.

Leading Data and AI Platform for Enterprises

Enterprise
77% verification coverage

Trust & Reliability

Deepnote

Uptime:99.978% (30-day)Status page
Users:100K-1M
Customers (per vendor):SoundCloud, Gusto, MoneyLion +7
GDPR
SOC 2
HIPAA

Databricks

Users:10K-100K
Customers (per vendor):AT&T, OpenAI, Burberry +7
GDPR
SOC 2
HIPAA

Overall Winner: Deepnote

7.8/10 vs Databricks at 6.8/10

Leads in:
Customization
Support
Compliance & Data Protection

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

Deepnote

7.8

avg score

Databricks

6.8

avg score

Deepnote leads overall — particularly in Ease of Use and Support.

Based on 7 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Overall Winner

Deepnote

7.8 / 10

Deepnote

Best For
Data teams needing a collaborative platform for data analysis and machine learning
Enterprise data science teams requiring secure, auditable workspaces with flexible deployment options
Data professionals and educators looking for an AI-native notebook environment with extensive integrations
Fintech and finance data teams

Databricks

Best For
Enterprise data teams building and deploying AI agents and applications at scale
Organizations seeking to unify data, analytics, and AI workloads on a single platform
Companies needing robust data governance and security across their data assets
Businesses looking to reduce legacy data warehouse costs and improve TCO

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Deepnote is best for

🎨Image & Design8.0📊Data & Analytics6.9💻Coding & Dev6.0

Databricks is best for

🎨Image & Design8.0🤖Automation & Agents7.5📊Data & Analytics7.4

Filter by your use case:

Limitations

DeepnoteDeepnote

Cons

  • Free plan has limited AI completions and calls per month
DatabricksDatabricks

Cons

  • Billed by usage in DBUs, with storage measured separately in DSUs
  • Free Edition is aimed at learning rather than production workloads
Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5
Customization5
Support5
Integration5
Compliance & Data Protection5
Performance5
Planning Quality5

Dimension Comparison

Ease of UseCustomizationSupportIntegrationCompliancePerformancePlanning

Deepnote

7.8

/ 10

Clear winner

Databricks

6.8

/ 10

Dimension Breakdown

Ease of Use

AI

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

Deepnote
6.0▲ +2.0
Databricks
4.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

Deepnote
9.0▲ +1.0
Databricks
8.0

Support

AI

How strong is the documentation, customer support, community, and learning resources?

Deepnote
8.0▲ +3.0
Databricks
5.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

Deepnote
8.0
Databricks
9.0▲ +1.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

Deepnote
8.0▲ +1.0
Databricks
7.0

Performance

Calculated

Latency + throughput speed

Deepnote
8.0
Databricks
8.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Deepnote
—
Databricks
—

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

Deepnote

Task

Databricks

8.0
Data Visualization
8.0
8.0
Natural Language Queries
8.0
7.0
Dashboard Creation
8.0
6.0
Data Cleaning
8.0
6.0
Predictive Analytics
8.0
7.0
Automated Insights
7.0
9.0
Data Integration
9.0
6.0
Report Generation
7.0
4.0
Anomaly Detection
7.0
9.0
Collaboration Sharing
8.0
6.0
Workflow Building
8.0
4.0
Trigger Variety
6.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Deepnote or Databricks?
Both are strong options. Deepnote is a strong choice, while Databricks is a strong choice. The best choice depends on your specific use case, budget, and workflow requirements.
Is Deepnote cheaper than Databricks?
Deepnote starts at free (freemium model). Databricks starts at $0.15/month (enterprise model). Use the Cost Calculator above for a detailed estimate.
What are the main differences between Deepnote and Databricks?
Deepnote — "Collaborative analytics & data science notebook". Databricks — "Leading Data and AI Platform for Enterprises". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.
Can I use Deepnote and Databricks together?
Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Deepnote and Databricks with other tools and save your AI toolkit.
Does Deepnote or Databricks have a free plan?
Deepnote is available for free. Databricks is a paid tool. Always verify current pricing directly with the vendor.

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