Dataiku supports the entire analytics lifecycle through a visual, interactive interface where everyone on the data and analytics team can work together. Analysts can prepare data and build models with AutoML, while data scientists use notebooks and IDEs to code advanced projects.

Dataiku includes MLOps capabilities for production teams to deploy, monitor, and manage data and AI projects in production. With a common platform, ML engineers and IT operators can easily monitor and retrain models in production or request updates from data scientists that can be up and running in minutes.

Dataiku enables your experts to work their way and contribute to team projects — with built-in code studios for JupyterLab, RStudio, and VSCode, including native integration to Dataiku projects.

Dataiku empowers analysts to do more with visual data preparation and AutoML features so they can prepare data and build high-quality datasets and models in minutes, all with data science oversight, if needed.

Dataiku business solutions provide out-of-the-box functionality to solve key business use cases across industries and business functions. Solutions are packaged projects that are fully customizable with your data and for your business.

Dataiku Apps are easy to build and use — and, more importantly, they put data, analytics, and AI in the hands of business stakeholders to support data-powered decision making.

Dataiku streamlines model lifecycle management with MLOps — i.e., building, operationalizing, and maintaining ML models in production — to drive real business value which, in turn, accelerates your enterprise towards a data-powered culture.

Dataiku unlocks your team’s potential today and upskills them for tomorrow via in-app contextual clues, self-service training and credentialing, and expert community help.

Dataiku is a powerful, collaborative environment where experts can work in their favorite environments while contributing best practices, code-based modules, and oversight for projects across the organization.

Dataiku includes built-in AI Governance to assess risk and value for analytics projects and then put an appropriate governance plan in place — with multiple stages and reviews, including final sign-off before production.

Dataiku is built for end-to-end Responsible AI, including full data lineage and traceability during prep; global and individual model explainability (SHAP) during modeling; and model drift and governance capabilities during monitoring. So in a world where the number and criticality of models are rising, Dataiku is well equipped to help you limit your regulatory and compliance risk.

Finance, marketing, talent teams, and more can build and maintain their own data and analytics projects. With a single view of all projects in Dataiku, analytics teams can maintain oversight and governance on business projects and make sure that everyone is following best practices and using resources fairly.

Dataiku workspaces and applications allow everyone across the business to use advanced analytics to make better business decisions. Publishing datasets, models, and apps to a team workspace gives everyone access to reusable assets so they can do more.

Dataiku has more than 40 different connectors to data sources including cloud storage options to easily access data, including deep integration with Snowflake.

Dataiku runs with your cloud investments like Snowflake, AWS, Azure, and GCP by pushing workloads down to the underlying cloud infrastructure for processing so you can take advantage of existing cloud budgets, cloud scale, and cost savings.

Dataiku easily installs and upgrades a full stack of AI capabilities on AWS, Azure, and GCP, with proven installation and upgrade templates designed for each environment.