Dataiku

Enterprise platform for building, governing and running AI and agents

Advanced
Screenshot of Dataiku, Enterprise platform for building, governing and running AI and agents

What is Dataiku?

Dataiku is an enterprise AI platform that combines machine learning, generative AI and agent building with built-in governance. It targets large organisations where business experts and engineers collaborate under IT-defined guardrails.

Dataiku is an enterprise AI platform that brings model building, agent delivery and oversight into one environment. It is aimed at large organisations where business experts and technical teams need to work on the same projects while IT keeps control over what reaches production. The vendor positions it around three ideas: people, orchestration and governance. In practice, teams use Dataiku to move from raw data to production AI without switching tools. The platform covers data science and machine learning, and it also handles generative AI and agents. Models, agents, rules and human review steps can be chained into governed workflows that run a complete business process end to end. Business experts build inside guardrails that IT defines, and oversight sits in every stage, so approvals and testing happen before anything ships. Recent additions include Agent Management, which tracks every agent across a company's platforms, including those built elsewhere, along with cost, performance and risk, and manages their lifecycle. Cobuild is a natural-language interface for exploring data, building governed AI and overseeing running agents. Expert-to-Agent coordinates agents, models, data and human judgment inside a single system. The platform is described as running on the clouds, data platforms and models a company already uses, and continuing to work when those change. Customer stories on the site come from large enterprises in pharma, insurance, manufacturing, banking and energy. They cite generative AI prototypes built in under two days, RAG chatbots saving 1,600 hours a month, and insights across more than 50 manufacturing sites. Dataiku also reports being named a Leader in the 2026 Gartner Magic Quadrant for AI Platforms for Data Science and ML for the fifth consecutive year. Among alternatives, Dataiku sits at the heavyweight end: a broad, governance-focused platform rather than a lightweight analytics app or a single-purpose AutoML tool. It suits organisations that want a shared environment for analysts, data scientists and engineers, and that need audit trails and agent oversight at scale.

How do you use Dataiku?

  1. 1Start a trial
    Open the get-started page and register for a Dataiku trial to see the platform with your own use case in mind.
  2. 2Request a guided demo
    For an enterprise evaluation, book a demo so the team can walk through the platform against your data and governance needs.
  3. 3Explore the platform overview
    Review the product pages to see how data science, ML, agents and governance fit together before choosing a first project.
  4. 4Connect data and build a first project
    Bring in your data sources and build a model, workflow or agent with business experts and engineers working side by side.
  5. 5Add governance and agent oversight
    Set approval and testing guardrails, then use Agent Management to track agents, their value and their risk in one place.

Pros and cons

Pros

  • Covers data prep, machine learning, generative AI and agents in a single environmentAI
  • Agent Management tracks cost, performance and risk for agents, even those built elsewhereAI
  • Governance is built into each step, with testing and sign-off before anything shipsAI
  • Runs on existing clouds, data platforms and models, so a stack change does not break itAI
  • Named a Leader in Gartner's 2026 Magic Quadrant for AI Platforms for Data Science and MLAI

Cons

  • Aimed at large enterprises, so it may be more platform than a small team needsAI
  • No pricing is published on the homepage; a demo or trial request is the route inAI
  • Breadth of the platform implies a learning curve and onboarding effort for new teamsAI
  • Governance and orchestration features are most valuable at scale and add little for solo usersAI

How much does Dataiku cost?

Free trial

The homepage offers a "Start trial" button leading to a get-started page, but trial length and limits are not stated.

Learn more

Integrations

Runs on the clouds, data platforms and models a company already uses and keeps working when they change. Specific connectors are not listed on the homepage.

Features

Data science and machine learning, generative AI and agent building, orchestrated governed workflows, Agent Management for cost, performance and risk tracking, Cobuild natural-language interface, Expert-to-Agent coordination, and built-in governance and approvals.

Learn more

Frequently asked questions about Dataiku

  • Does Dataiku offer a free trial?
    The homepage offers a "Start trial" button leading to a get-started page, but trial length and limits are not stated.
  • How do you use Dataiku?
    The walkthrough on this page covers 5 steps: 1. Start a trial 2. Request a guided demo 3. Explore the platform overview 4. Connect data and build a first project 5. Add governance and agent oversight.
  • What platforms does Dataiku support?
    Dataiku is available on Web App.
  • What does Dataiku integrate with?
    Runs on the clouds, data platforms and models a company already uses and keeps working when they change. Specific connectors are not listed on the homepage.
  • What are the limitations of Dataiku?
    Aimed at large enterprises, so it may be more platform than a small team needs. No pricing is published on the homepage; a demo or trial request is the route in. Breadth of the platform implies a learning curve and onboarding effort for new teams.

Status

StatusActive
Views0
Outbound clicks0
Added11/12/2026

Platforms

Web App

Pricing

Free TrialPaid