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Introduction has built a project orchestration service that provides data scientists the flexibility to use the tools and notebooks of their choosing, while providing deployment and reporting services that keep them connected to the business.


  • would fit well with organizations seeking to adopt a process-oriented approach to making their data scientists productive, and ensuring that data science projects can be readily operationalized.

Features and Benefits

  • Analyzes's approach to supporting data science collaboration.
  • Analyzes the competitive landscape for data science collaboration tools.

Key questions answered

  • How does's best-of-breed tooling approach help the company differentiate from its rivals?
  • What are the next steps in model management and workflow management that should add?

Table of contents


  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put on your radar?


  • Background
  • Current position

Data sheet

  • Key facts


  • On the Radar
  • Further reading
  • Author

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