Dataiku
One governed workspace where analysts and engineers build analytics, ML and agents
Overview
Dataiku is an enterprise platform where analysts work in a visual Flow and engineers in Python, R or SQL on the same analytics, machine-learning and AI-agent projects. Its 2026 additions are Cobuild, which builds governed projects from plain-language goals, and Agent Management, which tracks AI agents across platforms. A Free Edition and a 14-day cloud trial exist; paid editions are quoted.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- Mac and Linux installers
- Windows build marked experimental
- All features except Govern and advanced LLM Mesh
- 2 users, 1 API service, 4 CPUs and 32 GiB elastic compute (per FAQ)
- Extension on request to support
- Cloud, on-premises or hybrid installation discussed with sales
- Priced per instance annually
- Monitoring metered per agent
- One inventory of agents across platforms
What you can produce with Dataiku
- Visual Flow for data preparation, pipelines and models without code
- Python, R and SQL recipes in the same project as visual steps
- AutoML, model deployment and MLOps monitoring
- Pipelines, models, agents and apps generated from plain-language goals by Cobuild
- Dataiku work driven from Claude Code, Codex or Cursor through Dataiku Headless
- An inventory of AI agents across platforms with cost, quality and risk tracking
- Governed sign-off before projects ship to production
Dataiku's case is still collaboration across skill levels: a visual Flow for analysts and code recipes for engineers in one governed project, now extended with Cobuild for building from plain-language goals and Agent Management for tracking agents built anywhere. Gartner has rated it a Leader in AI platforms five years running.
The catch is opacity on price. The Free Edition and a 14-day trial let you evaluate it, but production use means a quoted enterprise contract with no published rates. Strong for enterprises that need business and technical teams in one tool; overkill for a solo data scientist.
What we found
Dataiku is an enterprise platform for analytics, machine learning and AI agents, started in Paris and now headquartered in New York. Its long-standing idea is a shared visual Flow in which analysts prepare data and build models without code while engineers work in Python, R or SQL on the same project. In March 2026 it relaunched itself as the Platform for AI Success, and the newer pieces are about agents. Cobuild, generally available since June 2026, builds pipelines, models, agents and apps from a plain-language goal as a Flow you review before production, and can be driven from coding tools such as Claude Code, Codex and Cursor. Agent Management, announced on 24 September for general availability in October 2026, inventories agents built on other platforms and tracks their cost, quality and risk.
The company reports $350 million in annual recurring revenue, more than 750 customers and about 1,200 staff, all vendor figures. Its last disclosed round, as TechCrunch reported, was a $200 million Series F in December 2022 led by Wellington Management at a $3.7 billion valuation, down from $4.6 billion in 2021, taking total funding to roughly $600 million. Gartner named it a Leader in the Magic Quadrant for AI platforms for data science and machine learning for a fifth consecutive year in June 2026.
There are two ways to try it free. The Free Edition installs on Mac or Linux, with an experimental Windows build; Dataiku's current pages do not state its limits. The 14-day Dataiku Cloud trial needs no card and includes everything except Govern and advanced LLM Mesh. Its FAQ allows two users, 4 CPUs and 32 GiB of compute, though the same page elsewhere says five users can be invited.
Paid editions are quoted, with no list price, and Agent Management is priced per instance per year with per-agent monitoring. Dataiku fits organisations that want business and technical teams in one governed tool; a lone data scientist has lighter options.
Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.
About this listing
This entry was compiled from publicly available data including Dataiku's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Dataiku unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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