We’re excited to announce that Gartner has acknowledged Databricks as a Chief within the 2024 Gartner® Magic Quadrant™ for Information Science and Machine Studying Platforms. A frontrunner gives a mature providing that meets market demand and has demonstrated the imaginative and prescient essential to maintain their market place as necessities evolve. Gartner defines a knowledge science and machine studying platform as an built-in set of libraries and tooling that help knowledge scientists collaborating with their enterprise and IT counterparts by way of all levels of the life cycle. These levels embrace enterprise understanding, knowledge entry and preparation, experimentation and mannequin creation, and sharing of insights. Along with being named a Chief, we’re thrilled to be acknowledged as the best vendor within the Skill to Execute
Obtain a complimentary copy of the report right here.
Determine 1: Magic Quadrant for Information Science and Machine Studying Platforms
A key change that occurred between the 2021 and 2024 magic quadrants is the inclusion of Generative AI. This considers the capabilities to make use of, fine-tune, and construct customized massive language fashions as a part of the general knowledge science and machine studying platform. We imagine one of many causes that contributed to our placement within the Gartner Magic Quadrant is Databricks’ must be give attention to each GenAI and on conventional knowledge science and machine studying
At Databricks, buyer obsession and innovation continues to gasoline our product roadmap. We have been quickly increasing our Information Intelligence Platform to actually democratize Information + AI. Databricks Mosaic AI gives unified tooling to construct, deploy and monitor AI and ML options — from constructing predictive fashions to the most recent GenAI and huge language fashions (LLMs). Constructed on the Databricks Information Intelligence Platform, Mosaic AI permits organizations to securely and cost-effectively combine their enterprise knowledge into the AI lifecycle
- Full possession over your fashions and knowledge: You may securely construct and customise your personal machine studying and generative AI fashions, powering them with a semantic understanding of your small business with out sending your knowledge and IP exterior your partitions.
- Manufacturing-quality: Mosaic AI helps prospects deploy production-quality GenAI purposes which might be secure, correct, and ruled. It has built-in entry controls, and governance capabilities making certain no person will be capable of entry knowledge they don’t have the rights to. There are built-in guardrails to establish unsafe content material and stop responses to such requests. All output is rigorously monitored, together with for poisonous and unsafe content material in addition to to diagnose errors. With native governance powered by Unity Catalog, you possibly can govern and monitor lineage throughout all knowledge and AI property.
- Price: With Mosaic AI, you possibly can each serve open fashions or construct your personal customized massive language mannequin from scratch extra cost-effectively. As a substitute of utilizing proprietary fashions that cost a premium, open LLMs deployed utilizing Mosaic AI Mannequin Serving will be deployed as much as 5x extra affordably. Or for organizations that need to construct their very own massive language mannequin that’s totally tailor-made to their particular area, Mosaic AI Basis Mannequin Coaching will help them construct new multibillion parameter LLMs in days with as much as 10x decrease coaching prices.
What’s subsequent
We imagine our recognition as a Chief with the best scores for Skill to Execute is a testomony to Databricks’ success and our potential to carry collectively knowledge groups and allow them to create the subsequent technology of knowledge and AI purposes with high quality, pace, and agility. Together with our positioning as a Chief within the Gartner Cloud Database Administration Methods MQ, Databricks is now the one cloud-native vendor to be acknowledged as a Chief in each Magic Quadrant experiences. We contemplate our positioning as a Chief in each of those experiences to be a defining second for the Databricks Information Intelligence Platform and affirmation of our imaginative and prescient to democratize knowledge and AI.
We imagine the distinctiveness of the achievement is in the way it was achieved. It isn’t unusual for distributors to indicate up in a number of Magic Quadrants annually throughout many domains. However, they’re assessed on disparate merchandise of their portfolio that individually accomplish the particular standards of the report. Databricks’ outcomes present definitively that you may be a frontrunner with a unified strategy to Information + AI, with one copy of knowledge, one processing engine, one strategy to administration and governance that’s constructed on open supply and open requirements throughout all clouds. You may ship class-leading outcomes for each knowledge warehousing and knowledge science/machine studying workloads with a single answer. We imagine that ML and GenAI will proceed to remodel knowledge platforms and we thank our prospects and companions for being on this journey with us.
Be taught extra
To study extra about Mosaic AI, go to our web site and observe @Databricks for the most recent information and updates. You may as well view session replays from the Information + AI Summit 2024.
Learn the Gartner Magic Quadrant for Information Science and Machine Studying Platforms.
Gartner, Magic Quadrant for Information Science and Machine Studying Platforms, Afraz Jaffri, Aura Popa, Peter Krensky, Jim Hare, Raghvender Bhati, Maryam Hassanlou, Tong Zhang, 17 June 2024
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