We’re happy to announce that Gartner has acknowledged Databricks as a Chief for the fourth consecutive yr within the Gartner® 2024 Magic Quadrant™ for Cloud Database Administration Programs. We’re honored to be acknowledged as a pacesetter among the many 20 evaluated suppliers. Options evaluated for this report included Databricks Information Intelligence Platform on Amazon Net Companies, Google Cloud Platform, and Microsoft Azure.
Obtain a free copy of the report right here.
Along with being named a Chief, we’re delighted to advance each the integrity of the imaginative and prescient and the power to execute. The Execution Capacity rating straight displays our tempo of innovation. Final yr, we launched options in our Information intelligence platform for knowledge warehousing, analytics and AI/BI, knowledge sharing, knowledge engineering, knowledge governance, and storage in Lakehouse:
| Information storage | Analytics and AI/BI | Share knowledge |
|---|---|---|
| AI Options | Management panels | Collaborate with out exposing delicate uncooked knowledge |
| 4x efficiency enchancment with out changes | Dashboard cross-filtering and interactivity | Share AI fashions, volumes, views, materialized views, and streaming tables |
| AI-assisted SQL creation | Share and embed dashboards | Share knowledge straight from the place it’s saved with Lakehouse Federation |
| Materialized views and streaming tables. | Genius areas | share personal |
| Leverage AI fashions straight by means of SQL | Genie Benchmarks and Request a Overview | |
| SQL language enhancements | Publish to Energy BI |
| Information engineering | Information governance | Lake Home Storage |
|---|---|---|
| Native ingestion connectors for SaaS functions and databases | Unity Catalog Open Supply | Information + tabular bricks |
| Easy knowledge transformations and platform-wide orchestration | Unity Catalog Metrics for Enterprise Semantics | Open Desk Format Interoperability |
| Full observability with monitoring and alerts. | Lakehouse Federation to exterior knowledge sources | Iceberg REST Catalog API Help |
| Row Filtering/Column Masking | Autonomous desk optimizations |
democratizing knowledge + AI throughout your group
Databricks pioneered the idea of lake home to mix and unify the most effective of information warehouses and knowledge lakes. Databricks made this imaginative and prescient a actuality in 2020; Since then, it has seen great adoption as a class.
Whereas lake dwelling adoption has turn into a pressure out there, our business is innovating at an unprecedented tempo. Firms insist on governance to assist them make sure that the suitable folks analyze the suitable knowledge and use it for the suitable functions. With the rise of generative AI, we’re listening to extra firms insist that this governance prolong to all their knowledge property, together with fashions and functions.
From ETL to knowledge warehousing and generative AI, Databricks helps a lot of our clients world wide simplify and speed up their knowledge and AI targets. We’ve got greater than 10,000 world clients throughout all industries, Creating shocking options and producing enterprise impression. with lake home structure.
“As knowledge units turn into fragmented and enterprise models fund their very own options, enterprises should facilitate the portability of their knowledge by avoiding vendor lock-in and proprietary knowledge codecs. To deal with this problem, Databricks has been doubling down its dedication to openness, together with interoperability by means of codecs and utilizing open requirements.” mentioned Sanjeev Mohan, principal analyst at SanjMo and former vice chairman at Gartner. “The way in which Databricks approaches all the knowledge and AI stack by means of rules of openness, value/efficiency, and end-to-end governance is nicely aligned with what clients are on the lookout for in a long-term strategic associate.”
Databricks knowledge intelligence platform
We constructed the Databricks Information Intelligence platform to allow each worker in each group to succeed with knowledge and AI. Its basis is a knowledge lake constructed on open desk codecs similar to Delta Lake. You personal your knowledge, it’s not locked right into a vendor format or platform. Constructed on this platform, we may also help you unify the governance of all knowledge and AI. As a result of your knowledge property is fragmented, we’re dedicated to interoperability throughout the ecosystem to make it even simpler to work with all of your knowledge, no matter format.
He Information intelligence engine It’s current all through the platform to grasp the semantics of your knowledge and the way it flows throughout all of your workloads. This method permits automated optimization, in addition to technical and non-technical customers utilizing pure language to find and use knowledge and synthetic intelligence within the context of their enterprise.
Governance, safety and regulatory compliance They’re vital to any data-driven group as a result of they assist make sure that all knowledge property are maintained and managed securely throughout the enterprise. Inside our platform, Unit Catalog integrates the facility of Lakehouse and AI, enabling a complete understanding of information whereas delivering contextual and domain-specific insights that enhance productiveness for each technical and enterprise customers. Unity Catalog helps seamless discovery, entry, and sharing of trusted knowledge and AI property throughout any device, computing engine, or cloud platform.
knowledge storage is not new, however infusing your knowledge warehouse with AI-powered intelligence is. Prospects need to spend much less time managing controls and settings, and extra time getting helpful insights from their knowledge. And so they additionally want to regulate prices. SQL knowledge bricks is an clever, serverless knowledge warehouse that runs all of your SQL and BI functions at scale with frequently bettering efficiency, a unified governance mannequin, open codecs and APIs, and the instruments of your selection, lock-free. After the launch of Databricks SQL in 2022, 1000’s of consumers migrated to it from legacy or cloud knowledge warehouses. We additionally proceed to enhance efficiency and complete value of possession (TCO). Not too long ago, we delivered AI enhancements and optimizations that make your knowledge workloads run 77% quicker than in 2022.
As firms look to additional increase the information of their workforce, we prioritize offering good evaluation for everybody. AI/BI is deeply built-in with Databricks SQL and permits anybody to ask questions on their knowledge in pure language and obtain extremely related and dependable AI-generated insights. Powered by knowledge intelligence, AI/BI goes past conventional BI programs with built-in AI assistants by studying your complete knowledge property, utilization patterns, and enterprise semantics. This deep perception permits AI/BI to supply correct solutions from complicated real-world knowledge, democratizing analytics for everybody in your group.
Fragmented knowledge property extends to complicated share knowledge between firms and clouds. An open method to sharing and collaborating is vital to maximizing attain and impression. Inside our knowledge intelligence platform, the Share delta The open protocol helps our clients share knowledge and AI property simply and securely to speed up innovation. For collaboration with third get together knowledge, the Information Brick Market is the open market for all of your knowledge, analytics and synthetic intelligence wants.
What’s subsequent?
We imagine that our recognition as a pacesetter for the fourth consecutive yr and our steady enchancment in each the integrity of the imaginative and prescient and the power to execute is a testomony to the success of Databricks and our means to unite knowledge groups, whereas serving to them. to construct the subsequent technology of information. and AI functions with high quality, velocity and agility. We imagine knowledge is much more important to powering enterprise, and AI is a pressure multiplier for this development. Moreover, AI continues to assist knowledge platforms optimize themselves robotically (if completed accurately). Thanks on your continued participation and belief on this journey.
Extra data
To be taught extra concerning the Databricks knowledge intelligence platform, go to our web site and take a look at our periods and detailed content material on our Information+AI World Tour 2024. Additionally, comply with us on LinkedIn for the most recent information and updates.
It’s also possible to hear our CEO, Ali Ghodsi, describe our technique at his keynote speech on the Information and AI Summit. Prospects may find out about upcoming improvements in our quarterly roadmap sequence.
Learn the Gartner® 2024 Magic Quadrant™ for Cloud Database Administration Programs.
Gartner doesn’t endorse any vendor, services or products described in its analysis publications and doesn’t advocate know-how customers choose solely these distributors with the best rankings or different designation. Gartner analysis publications include opinions of the Gartner Analysis and Advisory group and shouldn’t be construed as statements of reality. Gartner disclaims all warranties, specific or implied, with respect to this analysis, together with any guarantee of merchantability or health for a specific function.
GARTNER is a registered trademark and repair mark of Gartner, Inc. and/or its associates within the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its associates and is used on this doc with permission. All rights reserved.
Gartner, Magic Quadrant for Cloud Database Administration Programs, Henry Cook dinner, Ramke Ramakrishnan, Xingyu Gu, Aaron Rosenbaum, Masud Miraz, December 18, 2024.
