What is Dataiku used for?

Dataiku is a collaborative data science and AI platform that unites analysts, engineers and business teams around governed workflows and agents. It is a good fit for building ML models with mixed teams, running governed AI workflows and prototyping generative AI applications.

How much does Dataiku cost?

Dataiku doesn't publish fixed prices; pricing is quoted on request.

Is Dataiku open source?

No. Dataiku is proprietary (closed-source) software. Open-source alternatives to Dataiku include MLflow, TPOT and Orange.

Can I self-host Dataiku?

Yes. Although Dataiku is closed source, it can be self-hosted on your own servers, and the vendor also offers a hosted version.

What are some alternatives to Dataiku?

Dataiku competes with DataRobot, Databricks and Alteryx. For open-source options, see Enlisted's ranked list of open-source Dataiku alternatives.

Dataiku: features, pricing and alternatives

About Dataiku

Dataiku is a commercial platform for building and running data science, machine learning and generative AI projects across an organization. It is built for mixed teams, so analysts, data scientists, engineers and business users can work in one place with shared governance.

The vendor describes it as a platform for AI success powered by people, orchestration and governance. It orchestrates models, agents, rules and human review into governed workflows that run real business processes end to end, offers an LLM Mesh for working with language models, and has an Agent Management area for checking whether AI agents deliver value.

Dataiku offers a trial, demo requests and sign-in for its hosted product, and it can also be installed under an organization's own control. It is a proprietary enterprise product aimed at companies industrializing analytics and AI across many teams.

Key features

Collaborative data science workspace
LLM Mesh for language models
Governed AI workflows
Agent management
Orchestration of models, agents and rules
Trial and demo access

Good fit for

→Building ML models with mixed teams
→Running governed AI workflows
→Prototyping generative AI applications

Tags: data-science; mlops; ai-platform; generative-ai; ai-governance; collaboration; analytics; enterprise-ai

Dataiku: questions and answers

What is Dataiku used for?: Dataiku is a collaborative data science and AI platform that unites analysts, engineers and business teams around governed workflows and agents. It is a good fit for building ML models with mixed teams, running governed AI workflows and prototyping generative AI applications.
How much does Dataiku cost?: Dataiku doesn't publish fixed prices; pricing is quoted on request.
Is Dataiku open source?: No. Dataiku is proprietary (closed-source) software. Open-source alternatives to Dataiku include MLflow, TPOT and Orange.
Can I self-host Dataiku?: Yes. Although Dataiku is closed source, it can be self-hosted on your own servers, and the vendor also offers a hosted version.
What are some alternatives to Dataiku?: Dataiku competes with DataRobot, Databricks and Alteryx. For open-source options, see Enlisted's ranked list of open-source Dataiku alternatives.