Dataiku
The universal AI platform for building, deploying, and managing enterprise AI projects
Founded
2013
Starting Price
Free
Category
AI & Machine Learning
Last updated February 14, 2026
About Dataiku
Dataiku is an enterprise AI and data science platform that enables organizations to operationalize artificial intelligence at scale. The platform covers the full data lifecycle from ingestion through deployment and monitoring, providing both code-friendly and no-code interfaces for data scientists, analysts, and business users to collaborate on AI projects.
Pros & Cons
Pros
- Comprehensive end-to-end platform covering full data lifecycle eliminates tool fragmentation
- Flexible for all skill levels with visual tools and code support (Python, R, SQL)
- Excellent collaboration features bridging technical and non-technical teams
- Strong integration with 25+ data sources and flexible deployment (on-prem, cloud, SaaS)
- Enterprise-grade governance with audit logging and compliance features
Key Features
AutoML & Visual ML
Automated feature generation, model selection, and rapid prototyping with configurable pre-built tools
Unified Data Preparation
Connect, cleanse, and prepare data from 25+ sources with visual and code-based workflows
MLOps & Model Management
Centralized deployment, monitoring, and automated drift detection with model evaluation tracking
Collaborative Visual Flows
Transparent data pipelines with visual workflows giving all stakeholders visibility into the AI lifecycle
Agent Connect Hub
Centralized deployment and routing for AI agents with governance controls and continuous optimization
Multi-Engine Support
Supports Spark, TensorFlow, Python, H2O, and 32+ algorithms with flexible deployment options
Pricing
Free Edition
Free/perpetual
- Up to 3 concurrent users
- Basic data preparation
- Community support
- Limited to small-scale projects
Most Popular
Best For
Manufacturing Quality Optimization
Deploy AI across global manufacturing sites to enhance product consistency and reduce defects
Enterprise Analytics Democratization
Enable analysts and business users to build and deploy ML models without coding expertise
Generative AI Prototyping
Rapidly develop and test generative AI applications across departments with collaborative tools
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Featured In
#6
7 Best Enterprise AI Orchestration Platforms for Governed AI Deployment (2026)
Best for enterprises that need cross-team collaboration between data science and business stakeholders, with the strongest visual governance pipeline and centralized agent management to prevent sprawl across departments.
#5
7 Best AI Data Analytics Platforms for Non-Technical Teams (2026)
Best for organizations that want technical and non-technical teams collaborating on the same data platform — the bridge between 'give me a dashboard' and 'build me a prediction model.'
