Core Platform
The unified AI platform that takes you from data preparation to model deployment on a single screen.
Handles the full AI lifecycle — data connection, preparation, machine learning, deployment, and operations — in a single interface. On the visual 'Flow' pipeline, business users and data scientists collaborate, mixing visual recipes with Python, R, SQL, and Spark code.
What Is the Core Platform
The Dataiku Core Platform is a unified platform that handles the full AI lifecycle — data connection, preparation, machine learning, deployment, and operations — in a single interface. On the visual 'Flow' pipeline, business analysts and data scientists collaborate on the same project, freely mixing visual recipes with Python, R, SQL, and Spark code. From data preparation to model deployment, everything happens on one screen — no tool-hopping.
Key Capabilities
Visual Flow + code
Develop by mixing the visual pipeline with Python/R/SQL/Spark code
200+ native connectors
Easily integrate structured and unstructured data sources
AutoML · visual ML
Automation alongside advanced ML, with model explainability
All-in-one DataOps/MLOps
Real-time scoring APIs, A/B testing, and operations, integrated
AI Lifecycle Coverage
| Stage | Capabilities |
|---|---|
| Data connection | 200+ connectors · structured and unstructured integration |
| Preparation & preprocessing | Visual recipes + code recipes |
| Modeling | AutoML · advanced visual ML · explainability |
| Deployment | Real-time scoring APIs · batch |
| Operations | Monitoring · A/B testing · DataOps/MLOps |
What It's Used For
Standardizing enterprise analytics
Business and data teams collaborating on one platform
Building and operating predictive models
Demand, churn, and risk prediction models — one stop, from build to deployment
Self-service analytics
Users of varying coding skill build pipelines together