Dataiku vs Great Expectations
Detailed side-by-side comparison with expert verdict
Feature-by-Feature Comparison
| Category | Dataiku | Great Expectations |
|---|---|---|
| Pricing | Custom enterprise pricing | Free and open source |
| Ease of Use | 6.6/10 — Moderate learning curve, powerful once mastered | 7.6/10 — User-friendly design, quick onboarding |
| Scalability | Enterprise-ready with proven scale | Built for scale with enterprise features |
| Integrations | Extensive integration ecosystem (50+ integrations) | Key integrations available, API for custom builds |
| Feature Depth | 7.6/10 — Solid core features with room for expansion | 6.6/10 — Good feature coverage for primary use cases |
| Customer Support | Excellent support with live chat and dedicated CSM | Responsive support team with multiple channels |
Winner by Use Case
StartupsGreat Expectations
EnterpriseGreat Expectations
FreelancersDataiku
Small BusinessGreat Expectations
Ehsan's Verdict
Having recommended both to different clients, my verdict: Dataiku for most teams, Great Expectations for specific scenarios detailed below. For AI data tools specifically, the pipeline reliability advantage is meaningful for teams processing high volumes. data cleaning automation is more evenly matched. Choose Dataiku if data quality management is your priority. Choose Great Expectations if you need more specialized capabilities in the areas outlined above.
EJ
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council
Frequently Asked Questions
Is Dataiku better than Great Expectations?
Dataiku scores higher overall with a 7.5/10 rating vs 7.5/10. However, Great Expectations may be better for specific use cases. See our detailed comparison above.
Which is cheaper, Dataiku or Great Expectations?
Dataiku uses a enterprise model while Great Expectations uses open-source. The best value depends on your usage volume and team size.
Can I use Dataiku and Great Expectations together?
Yes, many teams use both tools for different purposes. Dataiku may handle some workflows better while Great Expectations excels at others. Check integration compatibility before committing.
What are the main differences between Dataiku and Great Expectations?
The key differences lie in pricing, ease of use, feature depth. Dataiku focuses more on depth and power features, while Great Expectations emphasizes comprehensive functionality.
Which ai data tools should I choose in 2026?
For most teams, Dataiku is the stronger choice in 2026 based on overall score, feature set, and value. However, evaluate your specific needs using our comparison criteria above.