Does Gemma or Dataiku have a free plan?

Gemma is a paid tool. Dataiku is a paid tool. Always verify current pricing directly with the vendor.

Gemma vs Dataiku

Q: Can I use Gemma and Dataiku together?

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

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

Updated May 2026

Gemma

Google DeepMind

Customize and deploy open-weight AI models for innovative applications.

0.0(0)

OPEN_SOURCE

90% data quality

Dataiku

The Platform for AI Success

0.0(0)

ENTERPRISE

88% data quality

Trust & Reliability

Gemma

Customers (per vendor):Tldraw, Rooms, Toonsutra +4

Dataiku

Users:1K-10K

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

GDPR

Too Close to Call

Gemma (7.2) vs Dataiku (6.8) — difference of 0.3 points

AI Comparison Summary

Gemma

7.2

avg score

Dataiku

6.8

avg score

Gemma leads overall — particularly in Customizability.

Based on 6 dimensions

How scores are calculated

Overall Winner

Gemma

7.2 / 10

Gemma

Best For

Building custom AI solutions for developers

Deploying AI models on edge devices

Fine-tuning language models with proprietary data

Developing AI applications with complete model control

Not Ideal For

Non-technical users seeking a ready-to-use AI application

Users requiring a fully managed, cloud-hosted LLM API without local deployment

Businesses needing enterprise-grade support and compliance for the model itself without using Vertex AI

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

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

Gemma is best for

✍️Writing & Content7.0💬Chat & Conversation7.0🤖Automation & Agents7.0

Dataiku is best for

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

Filter by your use case:

Pros & Cons

Gemma

Pros

Open-weight models provide full control and customization
Built from the same research as Gemini models
Optimized for efficient performance on various devices (mobile, laptop, tablet)
Supports multi-framework development (Keras)
Free to use for development and small projects
Integration with Google AI Studio and Colab for easy experimentation and fine-tuning

Cons

Requires technical expertise for deployment and customization
No direct cloud-hosted API for Gemma itself (unlike Gemini)
Performance depends on local device capabilities for on-device deployment
Content used to improve Google products in the free tier
No dedicated support channels for the free/open-source offering

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

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

Gemma

7.2

/ 10

Your pick

Dataiku

6.8

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Gemma

6.0

Dataiku

6.0

Output Quality

Quality and accuracy of generated results

Gemma

7.0

Dataiku

8.0▲ +1.0

Value for Money

Cost vs. features and output quality

Gemma

8.0▲ +1.0

Dataiku

7.0

Customizability

Calculated

Ability to tailor to specific needs

Gemma

7.0▲ +2.0

Dataiku

5.0

Support & Ecosystem

Documentation, community, and support quality

Gemma

7.0

Dataiku

7.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Gemma

8.0

Dataiku

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, Gemma or Dataiku?

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

Is Gemma cheaper than Dataiku?

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

What are the main differences between Gemma and Dataiku?

Gemma — "Customize and deploy open-weight AI models for innovative applications.". 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 Gemma and Dataiku together?

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