Dataiku
Analytics & BI · www.dataiku.com
Overview
Dataiku is a collaborative platform for data preparation, analytics, machine learning, AI applications, and governed deployment. It brings visual workflows, code notebooks, model management, collaboration, and enterprise controls into one environment so data scientists, analysts, engineers, and business teams can work on shared data and production use cases.
Best for
- Enterprise data-science and AI teams
- Organizations operationalizing models
- Companies needing shared analytics governance
Not a fit if
- Simple dashboard-only projects
- Teams without data-science ownership
- Buyers wanting a low-cost single-purpose tool
Why it’s listed
- Broad end-to-end AI and analytics scope
- Strong collaboration across technical and business roles
- Hybrid and governed deployment options
- Useful ecosystem for enterprise data programs
Pricing
Team
Custom pricingCollaborative analytics and data-science workflows for a team.
- Data prep
- Visual analysis
- Notebooks
Enterprise
Custom pricingGoverned AI, deployment, security, and support for large organizations.
- Model governance
- Deployment
- Enterprise support
Features
Integrations
Security & compliance
Pros & cons
Pros
- Visual and code-based workflows
- Strong governance and collaboration
- Broad cloud and model ecosystem
- Production-oriented platform
Cons
- Enterprise pricing and implementation
- Large feature surface
- Requires operating-model alignment
- May exceed the needs of a small data team
What the record shows
Dataiku uses enterprise subscription pricing and publishes a broad partner ecosystem spanning Snowflake, Databricks, AWS, cloud, consulting, and technology alliances; buyers should request a deployment-specific quote.
Summary and score aggregated from public review platforms. We link to original reviews rather than reproducing them — read the source before deciding.
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