Does Dataiku or Hugging Face have a free plan?

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

Dataiku vs Hugging Face

Q: Can I use Dataiku and Hugging Face together?

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

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

Updated May 2026

Dataiku

The Platform for AI Success

0.0(0)

ENTERPRISE

88% data quality

Hugging Face

The AI community building the future of machine learning.

0.0(0)

FREEMIUM

96% data quality

Trust & Reliability

Dataiku

Users:1K-10K

Customers (per vendor):Novartis, Johnson & Johnson, Standard Chartered Bank +7

GDPR

Hugging Face

Overall Winner: Hugging Face

7.7/10 vs Dataiku at 6.8/10

Leads in:

Customizability

Support

AI Comparison Summary

Dataiku

6.8

avg score

Hugging Face

7.7

avg score

Hugging Face leads overall — particularly in Customizability and Support & Ecosystem.

Based on 6 dimensions

How scores are calculated

Overall Winner

Hugging Face

7.7 / 10

Dataiku

Best For

Orchestrating enterprise AI initiatives at scale

Building and deploying AI agents grounded in enterprise data

Governing AI systems across the organization

Modernizing analytics and data science workflows

Not Ideal For

Individuals or very small teams seeking a simple, low-cost data analysis tool

Users who require a fully open-source data science platform

Organizations with minimal data infrastructure or no need for advanced AI/ML governance

Hugging Face

Best For

Collaborating on machine learning models and datasets

Deploying and sharing AI applications

Researchers and developers building with open-source ML

Teams requiring enterprise-grade security for AI development

Not Ideal For

Non-technical users looking for a simple, no-code AI solution

Businesses requiring fully managed, black-box AI services without customization needs

Users who prefer proprietary, closed-source ML development environments

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

Dataiku is best for

📊Data & Analytics8.0💻Coding & Dev7.0🎨Image & Design7.0

Hugging Face is best for

🤖Automation & Agents9.0🎧Customer Support9.0✍️Writing & Content7.0

Filter by your use case:

Pros & Cons

Dataiku

Pros

Unifies analytics, machine learning, and AI agents in one platform
Provides robust governance and oversight for all AI systems
Supports collaboration across teams with varying skill levels
Integrates seamlessly with major cloud providers and data ecosystems
Enables rapid prototyping and deployment of generative AI solutions

Cons

Pricing information is not publicly available, requiring a demo or contact for sales
May have a learning curve for new users due to its comprehensive feature set
Primarily targets enterprise-level organizations, potentially over-featured for smaller teams
No explicit mention of offline mode for desktop installed software

Hugging Face

Pros

Vast collection of over 2 million models and 500k datasets
Strong open-source community and extensive libraries (Transformers, Diffusers)
Supports multiple modalities including text, image, video, audio, and 3D
Offers flexible compute options for deploying models and applications
Provides enterprise-grade security features like SSO, audit logs, and data residency options
Free tier available for personal use and open-source contributions

Cons

Can be complex for absolute beginners without ML background
Advanced compute and enterprise features can become costly
Requires technical knowledge for full utilization of the platform and libraries
No explicit mention of offline mode — requires active internet connection

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

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Dataiku

6.8

/ 10

Hugging Face

7.7

/ 10

Your pick

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Dataiku

6.0

Hugging Face

6.0

Output Quality

Quality and accuracy of generated results

Dataiku

8.0▲ +1.0

Hugging Face

7.0

Value for Money

Cost vs. features and output quality

Dataiku

7.0

Hugging Face

7.0

Customizability

Calculated

Ability to tailor to specific needs

Dataiku

5.0

Hugging Face

9.0▲ +4.0

Support & Ecosystem

Documentation, community, and support quality

Dataiku

7.0

Hugging Face

9.0▲ +2.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Dataiku

8.0

Hugging Face

8.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

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, Dataiku or Hugging Face?

Both are strong options. Dataiku has a rating of 0.0/5 (0 reviews), while Hugging Face has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Dataiku cheaper than Hugging Face?

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

What are the main differences between Dataiku and Hugging Face?

Dataiku — "The Platform for AI Success". Hugging Face — "The AI community building the future of machine learning.". 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 Dataiku and Hugging Face together?

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