Deepnote vs Databricks

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

Data last refreshed August 2026

Deepnote

Collaborative analytics & data science notebook

Freemium

81% verification coverage

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 6 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

Deepnote

Cons

Free plan has limited AI completions and calls per month

Databricks

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

Deepnote

7.8

/ 10

Clear winner

Databricks

6.8

/ 10

Dimension Breakdown

Ease of Use

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

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

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

What are the main differences between Deepnote and Databricks?

Deepnote — "Collaborative analytics & data science notebook". Databricks — "Leading Data and AI Platform for Enterprises". The Features section on this page compares them side by side.

Who is Deepnote best for compared with Databricks?

Deepnote is best for Data teams needing a collaborative platform for data analysis and machine learning; and for Enterprise data science teams requiring secure, auditable workspaces with flexible deployment options. Databricks is best for Enterprise data teams building and deploying AI agents and applications at scale; and for Organizations seeking to unify data, analytics, and AI workloads on a single platform.

How does the pricing of Deepnote compare with Databricks?

Deepnote is freemium, includes a free plan. Databricks is enterprise-priced (custom quote). Always verify current pricing with the vendor.

Does Deepnote or Databricks have a free plan?

Deepnote has a free plan. Databricks lists no free plan. Always verify current pricing with the vendor.

Do Deepnote and Databricks offer an API?

Deepnote offers a public API. Databricks offers a public API.

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