Dataiku
by Dataiku
The Universal AI Platform for analytics, machine learning, and AI agents.
Dataiku is an end-to-end enterprise AI platform that unites data preparation, analytics, machine learning, generative AI, and AI agents in a single governed environment for both technical and business users.
At a Glance
- Category
- Enterprise Platform
- Pricing
- Subscription, Freemium, Contact for pricing
- Target Market
- CIOs, CTOs, Data Scientists, Data Analysts, Enterprise Developers, ML Engineers
- Founded
- 2013
- Headquarters
- New York, United States
- Customers
- 700+ organizations (roughly 1 in 4 of the world's top companies)
Key Features
- ✓Visual and Code-Based ML
Build machine learning pipelines through no-code, low-code, and full-code interfaces with AutoML and full lifecycle orchestration.
- ✓LLM Mesh
Abstract and switch between LLM providers with centralized routing, quotas, monitoring, and safety controls to manage cost and risk.
- ✓AI Agent Hub
Centralize creation, collaboration, lifecycle management, and orchestration of visual and code-based AI agents across models and tools.
- ✓Embedded Governance
Apply controls across the AI lifecycle with explainability, audit, and continuous oversight built directly into workflows.
- ✓Data Preparation and Analytics
Connect, clean, and transform data from cloud warehouses and legacy systems through a visual flow with reusable recipes.
- ✓MLOps and Deployment
Deploy, monitor, and retrain models in production with drift detection and lifecycle management.
Capabilities
Use Cases
- •Fraud and risk detection
Financial services firms build and operationalize models for fraud detection, churn, and risk scoring.
- •Predictive maintenance and demand forecasting
Manufacturers and retailers forecast demand and predict equipment failures using production ML pipelines.
- •Governed generative AI deployment
Enterprises deploy and govern GenAI applications and agents across multiple LLM providers with centralized oversight.
Ideal For
Best For
- ✓Building and operationalizing machine learning at enterprise scale
- ✓Collaborative data science across technical and business teams
- ✓Governing generative AI and AI agents across multiple LLM providers
Integrations
Deployment
Market & Ratings
700+ organizations (roughly 1 in 4 of the world's top companies)
Market Analysis
Pros
- ✓End-to-end coverage from data prep to model deployment and governance
- ✓Strong collaboration between technical and business users via no/low/full-code
- ✓Mature MLOps, governance, and multi-cloud integration
- ✓Consistently recognized as an analyst leader
Cons
- ✗Enterprise pricing is high and opaque, with significant total cost of ownership
- ✗Requires in-house analytics talent or consulting partners for full value
- ✗Learning curve and complexity for advanced features like web app integration
Pricing
Free Edition
$0
- ✓Self-managed install on Mac, Linux, or Windows
- ✓Limited to a small number of users
- ✓Core data prep, analytics, and ML capabilities
Cloud Free Trial
$0
- ✓14-day fully managed cloud instance
- ✓Full platform access
- ✓No infrastructure setup required
Enterprise
Contact for pricing
- ✓User-based and capacity-based licensing
- ✓Governance, MLOps, and LLM Mesh
- ✓Enterprise support and SLAs
- ✓On-premise, cloud, or hybrid deployment
Dataiku uses custom enterprise pricing based on team size, deployment, and usage; third-party buyer sources cite figures starting around $26,000-$50,000+ annually, scaling into six figures for larger deployments. A free edition (limited users) and a 14-day cloud free trial are available, plus a nonprofit program.
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