Dataiku’s visual data pipeline allows analysts, scientists, and architects to develop data projects that are transparent, dynamic, and robust. Lineage, roll-back, and control over upstream/downstream data rebuilding ensures flexibility and up-to-dateness.

Dataiku’s visual recipes allow for code-free data transformation, cleaning, and enrichment so you can quickly turn raw data into business-impacting analysis.

Dataiku allows everything done visually to be done in popular coding languages (R, Python, SQL, etc) run in built-in Jupyter notebooks, through custom code environments & customizations, and much more.

Dataiku’s integration ecosystem is rich, versatile, and vendor-agnostic -- providing you flexibility to build ML environments of your choice. No regrets and no vendor lock-in.

Bring your own Cloud Data Warehouse & available on marketplace

Plugins extend your capabilities with reusable components including custom data connectors, prep recipes & processors, and more. Access the library or build your own!

Dataiku abstracts away the complexities of data access and permissioning (i.e. group & individual security) from disparate systems, so you can start analyzing data faster.

Transform, clean, and enrich data in Dataiku via intelligent visual recipes for automatically-suggested contextual transformations performable in mass or via code.

Automate target engineering, feature generation & engineering, hyperparameter optimization, model ensembling, and model training/ deployment/ monitoring -- to iterate quickly to find the best model.

Convey your insights clearly via Dataiku’s standard and custom charts and connect to popular viz tools like Tableau, Power BI, and Qlik.

Dataiku DSS lets you deploy workflows easily with safe versioning and rollback as well as automate deployments as part of a larger production strategy.

Dataiku supports you along your enterprise’s AI maturity curve by powering enterprise-wide self-service analytics, lightweight AI, and robust operationalization of ML models in production -- to drive business transformation. Tune the size of your environnement when you need more capacity.

Run in the public cloud, your data is protected and you manage who can access it.

Dataiku’s transparent cost structure provides resource and cost governance so ML initiatives are done cost effectively to boost your ROI.