Dataiku review: Enterprise platform for analytics, machine learning and governed AI agents

What Dataiku does

Dataiku is an enterprise platform that brings analytics, machine learning and AI agents into one governed environment. Business experts and technical teams work in the same place, with IT setting the guardrails.

On the data side, users can prepare datasets with visual recipes or with Python, R and SQL, and connect to sources such as Snowflake, Databricks, Redshift and S3. For machine learning, it offers visual ML and AutoML alongside full-code work, with a path from experiments to APIs, batch scoring and production pipelines. For agents, it supports visual and code agents, an Agent Hub, and an LLM Mesh for switching between LLM providers with routing, quotas and safety controls. A governance layer covers an inventory of assets, lineage, approvals and monitoring.

Pricing is not published on the official site. The pages push visitors to request a demo or start a trial. The 14-day free trial runs in a managed cloud workspace and needs no credit card. The trial has 4CPUs and 32GiB of compute and leaves out Govern and advanced LLM Mesh. A Free Edition can be installed on Mac and Linux, and an experimental Windows version exists. On-premises or hybrid setups go through the sales team.

• Visual and code AI agents
• LLM Mesh for provider switching and controls
• Visual ML and AutoML
• Data prep with visual recipes, Python, R and SQL
• Central inventory of datasets, models and agents
• Lineage, approvals and monitoring
• Third-party agent management
• Connectors to major data platforms

Our take

Dataiku suits large organizations that want analytics, ML and AI agents managed under one governance framework, and teams that need business users and engineers to share a platform. The 14-day trial with no credit card lets you evaluate it before talking to sales. It is a weaker fit if you need public pricing, since none is published, or a lightweight single-purpose tool. The Windows version is described as experimental.