Deepnote vs Databricks

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

Updated August 2026

Deepnote

Collaborative analytics & data science notebook

Freemium

79% verification coverage

Databricks

Databricks Inc.

Leading Data and AI Platform for Enterprises

Enterprise

78% verification coverage

Trust & Reliability

Deepnote

Uptime:100.00% (30-day)Status page

Users:100K-1M

Customers (per vendor):SoundCloud, Gusto, MoneyLion +7

GDPR

SOC 2

HIPAA

Databricks

Uptime:99.98%Status page

Users:10K-100K

Customers (per vendor):AT&T, OpenAI, Burberry +7

Overall Winner: Deepnote

7.8/10 vs Databricks at 6.4/10

Leads in:

Integration

Customization

Ease of Use

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

6.4

avg score

Deepnote leads overall — particularly in Customization and Integration and 1 more.

Databricks has an edge in Support.

Based on 12 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

Mid-market data teams needing a collaborative platform for data analysis and machine learning workflows

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 teams building credit risk models, fraud detection, and portfolio analysis in a governed environment

Consider Alternatives If

Not for large-scale data processing or complex machine learning experiments requiring powerful infrastructure beyond higher-tier plans

Not for users requiring extensive custom Jupyter extensions, arbitrary kernel installations, or custom widgets

Not for purely non-technical users needing code-free dashboards and seamless embedding

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

Consider Alternatives If

Small businesses or individual users with minimal data processing needs

Organizations seeking a simple, fixed-price SaaS solution without usage-based billing

Teams without existing cloud infrastructure or expertise in cloud data management

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

Deepnote is best for

🎨Image & Design8.0📊Data & Analytics7.5💻Coding & Dev7.0

Databricks is best for

📊Data & Analytics7.7💻Coding & Dev7.0🎨Image & Design7.0

Filter by your use case:

Pros & Cons

Deepnote

Pros

Open-source under Apache 2.0 license, promoting interoperability and reducing lock-in
Real-time collaboration features like commenting and shared program state enhance team productivity
Native AI capabilities for code generation, explanation, and data visualization improve workflow efficiency
Extensive integrations with 100+ data sources, including major warehouses and databases
Flexible deployment options including multi-tenant, single-tenant, and on-premise for enterprise needs
Comprehensive security and compliance features including SOC 2 Type II, HIPAA, GDPR, SSO, and audit logs

Cons

Free plan has limited AI completions and calls per month
Free plan limits projects to 5 and revision history to 7 days
Free plan has a 15-minute inactivity period for machines
SQL blocks currently return pandas DataFrames, not configurable to Polars DataFrames directly
No explicit mention of support for all major human languages for UI or output

Databricks

Pros

Unified platform for data, analytics, and AI reduces complexity and data copying
Built on open source and open standards like Apache Spark, Delta Lake, and MLflow
Scalable architecture supports startups to global enterprises with automatic optimization
Comprehensive security features including encryption, network controls, and auditing
Offers a free edition for learning and a pay-as-you-go pricing model with discounts for committed usage

Cons

Pricing can be complex due to usage-based billing (DBUs, DSUs) and cloud provider variations
Requires understanding of cloud infrastructure costs in addition to Databricks platform costs
Free edition has limited functionality, primarily for learning Spark
Full benefits require significant commitment and integration into existing cloud accounts
Migration from existing data systems may require substantial effort

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

Output Quality5

Value for Money5

Customization5

Support5

Integration5

Accuracy & Reliability5

Compliance & Data Protection5

Performance5

Task Completion5

Tool Use Correctness5

Planning Quality5

Dimension Comparison

Deepnote

7.8

/ 10

Clear winner

Databricks

6.4

/ 10

Dimension Breakdown

Ease of Use

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

Deepnote

7.0▲ +1.0

Databricks

6.0

Output Quality

How accurate, reliable, and useful are the outputs this product generates?

Deepnote

8.0

Databricks

8.0

Value for Money

How well does the pricing match the features and output quality delivered?

Deepnote

7.0

Databricks

7.0

Customization

Calculated

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

Deepnote

9.0▲ +6.0

Databricks

3.0

Support

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

Deepnote

7.0

Databricks

9.0▲ +2.0

Integration

Calculated

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

Deepnote

10.0▲ +4.0

Databricks

6.0

Accuracy & Reliability

Factual accuracy and hallucination resistance

Deepnote

8.0

Databricks

8.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, aggregated from verified compliance signals

Deepnote

6.0▲ +3.0

Databricks

3.0

Performance

Calculated

Latency + throughput speed

Deepnote

8.0

Databricks

8.0

Task Completion

End-to-end task success rate

Deepnote

—

Databricks

—

Tool Use Correctness

Picks the correct tool + correct arguments

Deepnote

—

Databricks

—

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

7.0

8.0

Natural Language Queries

8.0

7.0

Dashboard Creation

7.0

6.0

Data Cleaning

7.0

Predictive Analytics

8.0

Automated Insights

8.0

9.0

Data Integration

9.0

7.0

Report Generation

7.0

Anomaly Detection

7.0

9.0

Collaboration Sharing

8.0

* 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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