Deepnote vs Dataiku

Q: Which is better, Deepnote or Dataiku?

Both are strong options. Deepnote is a strong choice, while Dataiku is a strong choice. The best choice depends on your specific use case, budget, and workflow requirements.

Q: Is Deepnote cheaper than Dataiku?

Deepnote starts at free (freemium model). Dataiku starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

Q: What are the main differences between Deepnote and Dataiku?

Deepnote — "Collaborative analytics & data science notebook". Dataiku — "The Platform for AI Success". 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.

Q: Can I use Deepnote and Dataiku together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Deepnote and Dataiku with other tools and save your AI toolkit.

Q: Does Deepnote or Dataiku have a free plan?

Deepnote is available for free. Dataiku is a paid tool. Always verify current pricing directly with the vendor.

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

Updated August 2026

Deepnote

Collaborative analytics & data science notebook

Freemium

79% verification coverage

Dataiku

The Platform for AI Success

Enterprise

75% 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

Dataiku

Users:<1K

Customers (per vendor):Novartis, Johnson & Johnson, Toyota +5

GDPR

Overall Winner: Deepnote

7.8/10 vs Dataiku at 5.7/10

Leads in:

Integration

Customization

Performance

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

Dataiku

5.7

avg score

Deepnote leads overall — particularly in Value for Money and Customization and 3 more.

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

Dataiku

Best For

Enterprise data science teams scaling AI across diverse departments

Large organizations needing unified governance for multi-vendor AI environments

Mid-market companies looking to move analytics off spreadsheets to AI-assisted pipelines

Healthcare and life sciences firms accelerating research with compliance built-in

Consider Alternatives If

Solo developers or small startups with limited budgets

Users seeking a simple, single-purpose AI tool

Organizations without complex data and AI governance needs

* 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

Dataiku 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

Dataiku

Pros

Unifies analytics, machine learning, and AI agents in one platform
Provides robust governance, cost control, and risk mitigation features
Supports collaboration between business and technical teams
Offers visual and code interfaces for agent and model development
Integrates with major cloud providers and data ecosystems

Cons

Pricing is enterprise-focused, likely not suitable for small businesses or individuals
Requires significant organizational adoption to maximize its value
Complexity may present a learning curve for new users without data science background
Specific details on data export formats are not explicitly stated
No explicit mention of a free tier or transparent self-serve pricing

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

Dataiku

5.7

/ 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

Dataiku

6.0

Output Quality

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

Deepnote

8.0

Dataiku

8.0

Value for Money

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

Deepnote

7.0▲ +2.0

Dataiku

5.0

Customization

Calculated

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

Deepnote

9.0▲ +7.0

Dataiku

2.0

Support

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

Deepnote

7.0

Dataiku

7.0

Integration

Calculated

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

Deepnote

10.0▲ +4.0

Dataiku

6.0

Accuracy & Reliability

Factual accuracy and hallucination resistance

Deepnote

8.0

Dataiku

8.0

Compliance & Data Protection

Calculated

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

Deepnote

6.0▲ +2.0

Dataiku

4.0

Performance

Calculated

Latency + throughput speed

Deepnote

8.0▲ +3.0

Dataiku

5.0

Task Completion

End-to-end task success rate

Deepnote

—

Dataiku

—

Tool Use Correctness

Picks the correct tool + correct arguments

Deepnote

—

Dataiku

—

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Deepnote

—

Dataiku

—

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

Dataiku

8.0

Data Visualization

7.0

8.0

Natural Language Queries

7.0

Dashboard Creation

7.0

6.0

Data Cleaning

8.0

7.0

Predictive Analytics

8.0

Automated Insights

8.0

9.0

Data Integration

8.0

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 Dataiku?

Both are strong options. Deepnote is a strong choice, while Dataiku is a strong choice. The best choice depends on your specific use case, budget, and workflow requirements.

Is Deepnote cheaper than Dataiku?

Deepnote starts at free (freemium model). Dataiku starts at free (enterprise model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Deepnote and Dataiku?

Deepnote — "Collaborative analytics & data science notebook". Dataiku — "The Platform for AI Success". 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 Dataiku together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Deepnote and Dataiku with other tools and save your AI toolkit.

Does Deepnote or Dataiku have a free plan?

Deepnote is available for free. Dataiku is a paid tool. Always verify current pricing directly with the vendor.

Explore Alternatives

Deepnote Alternatives

Tools similar to Deepnote

Dataiku Alternatives

Tools similar to Dataiku

Compare More AI Tools

Use our comparison tool to compare up to 5 AI tools side-by-side with AI-powered recommendations.