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
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
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
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.
Low-code drag & drop visual workflow
Support for big and varied data
Extended collaboration & deployment
New and Updated Operators
New TIBCO® Data Science - Team Studio capabilities further empower data scientists, analysts, and business users.