
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 supplies 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 an information science and machine studying platform as an built-in set of libraries and tooling that help information scientists collaborating with their enterprise and IT counterparts by means of all phases of the life cycle. These phases embody enterprise understanding, information 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 Capacity 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 information science and machine studying platform. We consider one of many causes that contributed to our placement within the Gartner Magic Quadrant is Databricks’ needs to be give attention to each GenAI and on conventional information science and machine studying
At Databricks, buyer obsession and innovation continues to gas our product roadmap. We have been quickly increasing our Information Intelligence Platform to really democratize Information + AI. Databricks Mosaic AI supplies 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 allows organizations to securely and cost-effectively combine their enterprise information into the AI lifecycle
- Full possession over your fashions and information: You possibly can securely construct and customise your personal machine studying and generative AI fashions, powering them with a semantic understanding of what you are promoting with out sending your information and IP exterior your partitions.
- Manufacturing-quality: Mosaic AI helps clients deploy production-quality GenAI functions which can be secure, correct, and ruled. It has built-in entry controls, and governance capabilities guaranteeing no consumer will be capable to entry information they don’t have the rights to. There are built-in guardrails to determine 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’ll be able to govern and observe lineage throughout all information and AI property.
- Value: With Mosaic AI, you’ll be able to each serve open fashions or construct your personal customized massive language mannequin from scratch extra cost-effectively. As an alternative of utilizing proprietary fashions that cost a premium, open LLMs deployed utilizing Mosaic AI Mannequin Serving might be deployed as much as 5x extra affordably. Or for organizations that need to construct their very own massive language mannequin that’s absolutely 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 consider our recognition as a Chief with the best scores for Capacity to Execute is a testomony to Databricks’ success and our means to carry collectively information groups and allow them to create the following technology of information and AI functions with high quality, pace, and agility. Together with our positioning as a Chief within the Gartner Cloud Database Administration Techniques MQ, Databricks is now the one cloud-native vendor to be acknowledged as a Chief in each Magic Quadrant studies. We contemplate our positioning as a Chief in each of those studies to be a defining second for the Databricks Information Intelligence Platform and affirmation of our imaginative and prescient to democratize information and AI.
We consider the distinctiveness of the achievement is in the way it was completed. It’s not unusual for distributors to indicate up in a number of Magic Quadrants every year throughout many domains. However, they’re assessed on disparate merchandise of their portfolio that individually accomplish the precise standards of the report. Databricks’ outcomes present definitively you can be a frontrunner with a unified method to Information + AI, with one copy of information, one processing engine, one method to administration and governance that’s constructed on open supply and open requirements throughout all clouds. You possibly can ship class-leading outcomes for each information warehousing and information science/machine studying workloads with a single answer. We consider that ML and GenAI will proceed to rework information platforms and we thank our clients and companions for being on this journey with us.
Study extra
To be taught extra about Mosaic AI, go to our web site and comply with @Databricks for the most recent information and updates. You may also 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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