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Best Dataiku Alternatives & Competitors (2026)

12 alternatives listed · AI Analytics · Updated May 2026

Looking for the best Dataiku alternatives? The Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes. We compared 12 tools across pricing, features, and real-world use cases — so you can switch with confidence.

Obviously AI
Freemium 📊 AI Analytics

AI Workers for revenue teams that connect to your stack in minutes, eliminate manual work and reduce the cost of growing revenue — no setup required.

Akkio
Paid 📊 AI Analytics

The AI workflow automation platform for media agencies and data providers.

T
Paid 📊 AI Analytics

Tableau's AI-powered analytics for automated insights and natural language queries.

MonkeyLearn
Contact Sales 📊 AI Analytics

Experience management software platform for customer, employee, and digital experience.

Polymer
Freemium 📊 AI Analytics

Seamlessly integrate AI-powered insights into your application with Polymer's API.

Pecan AI
Paid 📊 AI Analytics

No-code predictive analytics platform for business teams

ThoughtSpot
Paid 📊 AI Analytics

Transform insights into action with the ThoughtSpot Agentic Analytics Platform—AI agents, automated insights, and embedded intelligence.

DataRobot
Paid 📊 AI Analytics

Unified Agent Workforce Platform for Enterprise

H2O.ai
Paid 📊 AI Analytics

End-to-end GenAI platform for private, protected data deployments

Mixpanel
Freemium 📊 AI Analytics

AI digital analytics platform for product teams

Heap
Paid 📊 AI Analytics

Heap is a digital insights platform that reveals the "unknown unknowns" on your site, providing end-to-end journey insights.

Amplitude AI
Paid 📊 AI Analytics

Agents unlock access to the full power of Amplitude's platform, letting anyone turn analysis into action using natural language.

🆓 Free Dataiku Alternatives

Dataiku requires a paid plan. Here are 3 free or open-source options worth trying first:

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About Dataiku

The Platform for AI Success that unites people, orchestration, and governance to turn AI investments into measurable business outcomes.