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ML Operations

Dataiku

Enterprise AI platform for building, deploying and governing analytics and AI

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About Dataiku

Dataiku offers a collaborative platform where data teams, analysts and business users build data pipelines, machine learning models and generative AI applications. It includes governance and LLM management features aimed at enterprises scaling AI across many teams.

Common use cases

  • Predictive modeling
  • Generative AI applications
  • Self-service analytics
  • Model governance
  • Demand forecasting

Social listening

What people are saying about Dataiku

Reviewers like Dataiku's visual, all-in-one approach and collaboration, and buyers typically plan for licensing scoping, performance tuning and setup support.

What stands out

  • Visual recipes let non-coders prepare data and reuse workflows.
  • ETL, ML, pipelines and governance live in one platform.
  • Scenario automation reduces manual recurring work.
  • Collaboration features and an intuitive interface are valued.

Things to consider

  • Worth asking for a scoped explanation of licensing options.
  • Plan to test performance on complex jobs during evaluation.
  • Teams may want to supplement documentation and community resources with vendor guidance.
  • Consider specialist help for initial setup and upgrades.

Often compared with: Databricks, Alteryx, KNIME, Amazon SageMaker, DataRobot

Sources (1)

Themes summarized from public reviews, community discussion and press coverage as of November 2026. They reflect public discussion, not a rating or an endorsement by AI Connect.

Products and services

Dataiku Platform

Visual and code-based environment for data prep, ML and AI application building.

Dataiku Govern

Model and project governance with approval workflows.

LLM Mesh

Layer for managing access to and controls over LLMs and AI services.

Pricing and editions. Reviewers describe complex licensing that suits larger organizations and call for consumption-based options.

Key features

  • Visual data pipelines
  • AutoML
  • Code notebooks
  • Model deployment
  • Governance workflows
  • LLM management

Integrations

  • Snowflake
  • Databricks
  • AWS
  • Microsoft Azure
  • Google Cloud
  • Salesforce
  • SAP

Dataiku alternatives

FAQs

Who uses Dataiku?

Mixed teams of data scientists, analysts and business users at mid-market and large enterprises.

Can it be self-hosted?

Yes, it supports cloud, on-premises and hybrid deployment.

Does it support generative AI?

Yes, through LLM management and application-building features.

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