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
Low-code drag & drop visual workflow

Low-code drag & drop visual workflow

Easily create and deploy workflows for data preparation, feature engineering, and machine learning using visual programming. Accelerate the process with autoML or dive deeper using Notebooks.

Support for big and varied data

Support for big and varied data

Securely connect to data, databases, or data lakes across cloud and hybrid environments. Execute at-scale using in-database or in-cluster compute.

Extended collaboration & deployment

Extended collaboration & deployment

Data scientists, data engineers, managers, and business users directly collaborate on new ways to apply data prep, AI, and ML. Share results with everyone using Spotfire® visual dashboards.

New and Updated Operators

A new operators framework merges core and custom operators, enabling workflows to execute as a single Spark application, improving performance, including scalable Bessel + SOM Operators with several operators that can now be used as TIBCO Exchange add-ons.

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
Aeroporti di Roma background image
We are using TIBCO to integrate and correlate all information to understand customer behaviors, manage operational situations, and prevent critical events.

Aeroporti di Roma

Check out TIBCO® Data Science Customer Stories

Learn More