Announcement

Check out Domino Data Lab's scores in 2024 Gartner® Critical Capabilities for Data Science and Machine Learning Platforms, Machine Learning Engineering

Domino2024-06-24 | 4 min read

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Recently, Domino Data Lab was named a Visionary in the 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. Gartner evaluated 18 data science and machine learning (DSML) vendors worldwide. Of those, Domino was recognized as one of the three vendors positioned in the Visionaries Quadrant. Domino’s latest blog provides further insights, and you can also access the report here, to learn more.

What’s new in machine learning engineering

Now, we are excited to announce Domino Data Lab's scores in the 2024 Gartner Critical Capabilities for Data Science and Machine Learning Platforms, Machine Learning Engineering. For those who aren’t aware, Gartner Critical Capabilities reports are a critical companion to the Gartner® Magic Quadrant™. The reports offer deep insight into providers’ product and service offerings – and are educational resources for enterprises searching for more essential information.

Recap of scores: Domino’s highest rating was for the MLOps Use Case

Domino received the following scores in the 2024 Gartner Critical Capabilities for Data Science and Machine Learning Platforms, Machine Learning Engineering. We are proud to share that Domino’s highest Use Case rating was for MLOps.

  • 3rd out of 17 vendors for the Governance Use Case
  • 5th for the MLOps Use Case
  • 6th for the Workload Orchestration Use Case

Why Domino Enterprise AI Platform for machine learning engineering

Many leading enterprises in life sciences, financial services, public sector, and insurance turn to Domino Enterprise AI Platform to operationalize AI at scale, and solve mission-critical problems. The unified platform supports a variety of frameworks, programming languages, and tools for training and experimentation to deploying models, implementing governance, approval, and auditing workflows.

For Generative AI, Domino’s open and extensible platform, offers an LLM Gateway to support open source and commercial foundation models, while providing security and governance to ensure responsible AI practices. Additionally, Domino offers an AI hub for customers to jumpstart development with templates for common AI use cases. With Domino, both data science and IT teams enjoy the advantages of the platform being available on-premises, for hybrid cloud, or as a managed service.

Next steps

For more details, access the 2024 Gartner Critical Capabilities for Data Science and Machine Learning Platforms, Machine Learning Engineering.

Disclaimer:

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.


Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform unifies the flexibility AI teams want with the visibility and control the enterprise requires. Domino enables a repeatable and agile ML lifecycle for faster, responsible AI impact with lower costs. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

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