We’re excited to announce that Gartner has acknowledged Databricks as a Chief for a fourth consecutive yr within the 2024 Gartner® Magic Quadrant™ for Cloud Database Administration Methods. We’re honored to be acknowledged as a pacesetter among the many 20 distributors evaluated. The options evaluated for this report included the Databricks Information Intelligence Platform on Amazon Net Providers, Google Cloud Platform, and Microsoft Azure.
Obtain a complimentary copy of the report right here.
Along with being named a Chief, we’re thrilled to advance in each in Completeness of Imaginative and prescient and the Potential to Execute. The Potential to Execute rating instantly displays our tempo of innovation. Prior to now yr, we have now launched options in our Information Intelligence Platform for information warehousing, analytics and AI/BI, information sharing, information engineering, information governance, and lakehouse storage:
| Information Warehousing | Analytics and AI/BI | Information Sharing |
|---|---|---|
| AI capabilities | Dashboards | Collaborate with out exposing delicate uncooked information |
| 4x efficiency enchancment with out tuning | Dashboard cross-filtering and interactivity | Share AI fashions, volumes, views, materialized views, and streaming tables |
| AI-assisted SQL authoring | Dashboard sharing and embedding | Share information instantly from the place it’s saved with Lakehouse Federation |
| Materialized views and streaming tables | Genie areas | Non-public sharing |
| Leverage AI fashions instantly by way of SQL | Genie benchmarks and Request a overview | |
| SQL language enhancements | Publish to Energy BI |
| Information Engineering | Information Governance | Lakehouse Storage |
|---|---|---|
| Native ingestion connectors for SaaS apps and databases | Unity Catalog open supply | Databricks + Tabular |
| Easy information transformations and platform-wide orchestration | Unity Catalog metrics for enterprise semantics | Open desk format interoperability |
| Full observability with monitoring and alerting | Lakehouse Federation to exterior information sources | Iceberg REST Catalog API help |
| Row filtering/column masking | Autonomous desk optimizations |
Democratizing Information + AI throughout your complete group
Databricks pioneered the idea of the lakehouse to mix and unify the very best of information warehouses and information lakes. Databricks made this imaginative and prescient a actuality in 2020; since then, it has seen great adoption as a class.
Whereas lakehouse adoption has grow to be a pressure out there, our trade is innovating at an unprecedented price. Companies are insisting on governance to assist them be sure that the correct persons are trying on the proper information–and utilizing it for the correct functions. With the rise of generative AI, we hear extra firms insisting that this governance is prolonged to all of their information belongings, together with fashions and functions.
From ETL to information warehousing to generative AI, Databricks helps a lot of our prospects worldwide simplify and speed up their information and AI objectives. We’ve over 10,000 international prospects throughout all industries, constructing superb options and delivering enterprise impression with the lakehouse structure.
“As information estates fragment and enterprise items fund their very own options, firms must make it simpler to maintain their information moveable by avoiding vendor lock-in and proprietary information codecs. To handle this problem, Databricks has been doubling down on openness, together with interoperability throughout codecs and utilizing open requirements.” stated Sanjeev Mohan, Principal Analyst at SanjMo and Former Gartner VP. “The way in which by which Databricks is approaching all the information and AI stack by ideas of openness, value/efficiency and end-to-end governance is well-aligned to what prospects are in search of in a long-term strategic associate.”
Databricks Information Intelligence Platform
We constructed the Databricks Information Intelligence Platform to permit each worker in each group to succeed with information and AI. Its basis is a knowledge lakehouse constructed on open desk codecs like Delta Lake. You personal your information—it’s not locked right into a vendor format or platform. Constructed on this platform, we may help you unify governance for all information and AI. As a result of your information property is fragmented, we’re dedicated to interoperability throughout the ecosystem to make it even simpler to work with all of your information, no matter format.
The Information Intelligence Engine is infused all through the platform to know the semantics of your information and the way it flows throughout your whole workloads. This method permits for automated optimization, in addition to for technical and non-technical customers to make use of pure language to find and use information and AI within the context of what you are promoting.
Governance, safety, and regulatory compliance are important to any data-driven group as a result of they assist assure that each one information belongings are maintained and managed securely throughout the enterprise. Inside our platform, Unity Catalog integrates the ability of lakehouse and AI, enabling a complete understanding of information whereas delivering contextual, domain-specific insights that enhance productiveness for each technical and enterprise customers. Unity Catalog helps seamless discovery, entry, and sharing of trusted information and AI belongings throughout any software, compute engine, or cloud platform.
Information warehousing will not be new, however infusing your information warehouse with AI-driven intelligence is. Prospects need to spend much less time managing the knobs and settings, and extra time getting insights from their information. And they should management prices, too. Databricks SQL is an clever, serverless information warehouse that runs all of your SQL and BI functions at scale with regularly enhancing efficiency, a unified governance mannequin, open codecs and APIs, and your instruments of alternative – no lock-in. After the inception of Databricks SQL in 2022, 1000’s of consumers have migrated from legacy or cloud information warehouses to it. We proceed to enhance efficiency and Whole Value of Possession (TCO), too. Lately we delivered enhancements and AI optimizations that make your information workloads run 77% sooner than in 2022.
As firms look to scale insights additional throughout their workforce, we put a precedence on delivering clever analytics for everybody. AI/BI is deeply built-in with Databricks SQL, and permits anybody to ask questions on their information in pure language and obtain extremely related and trusted AI-generated insights. Powered by information intelligence, AI/BI strikes past conventional BI methods with bolt-on AI assistants by studying your complete information property, utilization patterns, and enterprise semantics. This deep information permits AI/BI to ship correct solutions from complicated, real-world information, democratizing analytics for everybody in your group.
The fragmented information property extends to complicated information sharing throughout firms and clouds. An open method to sharing and collaboration is important to maximise attain and impression. Inside our information intelligence platform, the Delta Sharing open protocol helps our prospects simply and securely share information and AI belongings to speed up innovation. For collaboration with third-party information, the Databricks Market is the open market for all of your information, analytics and AI wants.
What’s subsequent
We consider our recognition as a Chief for a fourth consecutive yr and our continued enchancment in each Completeness of Imaginative and prescient and Potential to Execute is a testomony to Databricks’ success and our potential to unite information groups, all whereas serving to them construct the subsequent technology of information and AI functions with high quality, pace, and agility. We consider that information is much more important to feeding the enterprise, and AI is a pressure multiplier for this development. Moreover, AI continues to assist information platforms robotically optimize themselves (if completed proper). Thanks to your continued participation and belief on this journey.
Study extra
To study extra concerning the Databricks Information Intelligence Platform, go to our web site and take a look at our periods and in-depth content material at our Information+AI World Tour 2024. Additionally, comply with us on LinkedIn for the most recent information and updates.
You may as well hear our CEO, Ali Ghodsi, define our technique in his Information and AI Summit keynote. Prospects may find out about upcoming improvements in our quarterly roadmap sequence.
Learn the 2024 Gartner® Magic Quadrant™ for Cloud Database Administration Methods.
Gartner doesn’t endorse any vendor, services or products depicted in its analysis publications and doesn’t advise expertise customers to pick out solely these distributors with the very best scores or different designation. Gartner analysis publications include the opinions of Gartner’s Analysis & Advisory group and shouldn’t be construed as statements of reality. Gartner disclaims all warranties, expressed or implied, with respect to this analysis, together with any warranties of merchantability or health for a selected goal.
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 are used herein with permission. All rights reserved.
Gartner, Magic Quadrant for Cloud Database Administration Methods, Henry Cook dinner, Ramke Ramakrishnan, Xingyu Gu, Aaron Rosenbaum, Masud Miraz, December 18, 2024.