Dataiku is a collaborative data science and machine learning platform for preparing data, building and deploying models, and operationalizing analytics across teams.
Dataiku is an end-to-end data science and machine learning platform that enables teams to build, deploy, and manage analytics and AI projects at scale. It provides a collaborative environment where data engineers, data scientists, analysts, and business users can work together on shared datasets and workflows. Users can connect to a wide range of data sources, including databases, data warehouses, cloud storage, and SaaS applications, then clean, join, and transform data using either visual recipes or code in Python, R, and SQL.
The platform supports the full ML lifecycle: data preparation, feature engineering, model training, hyperparameter tuning, evaluation, and monitoring. It offers built-in AutoML for classification, regression, and time series forecasting, as well as tools for custom modeling and integration with popular ML libraries. Dataiku also includes capabilities for MLOps, such as model versioning, deployment to APIs or batch scoring pipelines, automated retraining, and drift detection.
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