TIBCO® Data Science Team Studio supports TIBCO’s mission to democratize data science at-scale, with an end-to-end lifecycle

From data access, preparation and feature engineering; to model training, management, inference and operations deployment.

Team Studio allows data scientists and business users to collaborate on advanced analytics using massively scalable in-database and in-cluster processing.

Benefits
Rapidly build low-code ML workflows

Rapidly build low-code ML workflows

While leveraging the power of big data and compute platforms, TIBCO® Data Science - Team Studio gives data scientists, analysts, and data engineers the ability to build data prep, feature engineering, and machine learning (ML) workflows with a minimum of code on any data. Team Studio is built to facilitate the analytics process at all levels of the business, from defining a problem to driving business actions.

Scale for large data variety & volume

Scale for large data variety & volume

TIBCO® Data Science - Team Studio is designed for in-cluster and in-database compute across any data source. This allows you the scalability you need to fully leverage your investments in all data platforms, cloud / hybrid sources and scalable compute clusters.

Collaborate, deploy, empower

Collaborate, deploy, empower

TIBCO® Data Science - Team Studio projects make asset sharing, versioning, and commenting frictionless, inviting collaboration across all roles of a project, including the project manager, data engineer, data scientist, and business user. Prediction results are interactive with TIBCO Spotfire® visual dashboards.

Make it your own

Make it your own

To optimize your project, sometimes a little code is needed. TIBCO® Data Science - Team Studio provides drag-and-drop integration of Jupyter notebooks into visual workflows, allowing data scientists to combine coding with low-code. TIBCO® Data Science - Team Studio provides an extension API to create custom operators, easing algorithm re-use.

Supercharge your workflow

Users can now run workflows in the latest version of Spark, create notebooks that use Tensorflow and Pandas APIs on Spark and have less complexities due to dependencies on Hadoop. The new workflow engine also enables more efficient execution against big data problems and has better support for python users making it easy to deploy, proof of concept and evaluate leading-edge DSML innovations.

Capabilities
What's New

New TIBCO® Data Science - Team Studio capabilities further empower data scientists, analysts, and business users.

See the details here in the TIBCO Community.

Featured Customer

Check out TIBCO® Data Science Customer Stories