Dataiku is a collaborative data science platform that allows users to prepare, analyze, and model data in an intuitive visualization environment.

With Dataiku, users can work on data science projects collaboratively, share reports and models, and automate the data workflow to accelerate decision-making.

Dashboard Dataiku

Some of the features of Dataiku include:

  • Data integration: Dataiku allows for integration and work with a wide variety of data sources, including relational databases, file systems, web APIs, and big data systems such as Hadoop and Spark.

  • Data cleaning and preparation: Dataiku provides a variety of tools for cleaning and preparing data, including removing duplicates, filling in missing values, and normalizing data.

  • Statistical analysis and visualization: Dataiku provides a variety of tools for analyzing and visualizing data, including dynamic tables, charts, and interactive maps.

  • Machine learning model creation: Dataiku provides a drag-and-drop interface for creating machine learning models, including regression, classification, and clustering models.

  • Automation and scalability: Dataiku allows for automation of data workflows and scaling of data science projects through integration with automation tools such as Apache Airflow and Kubernetes.

  • Collaboration and project management: Dataiku offers a project management and collaboration system, allowing users to work on data science projects collaboratively, share reports and models, and control access to data and project tasks.

  • It's scalable and runs on different cloud and on-premises environments, offering flexibility on where the platform runs.

In summary, Dataiku is a comprehensive and collaborative platform for data science that allows users to integrate, clean, analyze, model and automate their data all in one tool, accelerating data-driven decision making.