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 Techniques. We’re honored to be acknowledged as a pacesetter among the many 20 distributors evaluated. The options evaluated for this report included the Databricks Knowledge Intelligence Platform on Amazon Internet 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 straight displays our tempo of innovation. Previously yr, we’ve got launched options in our Knowledge Intelligence Platform for knowledge warehousing, analytics and AI/BI, knowledge sharing, knowledge engineering, knowledge governance, and lakehouse storage:
| Knowledge Warehousing | Analytics and AI/BI | Knowledge Sharing |
|---|---|---|
| AI features | Dashboards | Collaborate with out exposing delicate uncooked knowledge |
| 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 knowledge straight from the place it’s saved with Lakehouse Federation |
| Materialized views and streaming tables | Genie areas | Non-public sharing |
| Leverage AI fashions straight by way of SQL | Genie benchmarks and Request a evaluate | |
| SQL language enhancements | Publish to Energy BI |
| Knowledge Engineering | Knowledge Governance | Lakehouse Storage |
|---|---|---|
| Native ingestion connectors for SaaS apps and databases | Unity Catalog open supply | Databricks + Tabular |
| Easy knowledge 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 knowledge sources | Iceberg REST Catalog API help |
| Row filtering/column masking | Autonomous desk optimizations |
Democratizing Knowledge + AI throughout your whole group
Databricks pioneered the idea of the lakehouse to mix and unify the perfect of information warehouses and knowledge lakes. Databricks made this imaginative and prescient a actuality in 2020; since then, it has seen large adoption as a class.
Whereas lakehouse adoption has change into a power out there, our business is innovating at an unprecedented price. Companies are insisting on governance to assist them make sure that the precise individuals are trying on the proper knowledge–and utilizing it for the precise functions. With the rise of generative AI, we hear extra firms insisting that this governance is prolonged to all of their knowledge property, together with fashions and functions.
From ETL to knowledge warehousing to generative AI, Databricks helps a lot of our clients worldwide simplify and speed up their knowledge and AI objectives. We’ve got over 10,000 international clients throughout all industries, constructing wonderful options and delivering enterprise influence with the lakehouse structure.
“As knowledge estates fragment and enterprise models fund their very own options, firms have to make it simpler to maintain their knowledge transportable by avoiding vendor lock-in and proprietary knowledge codecs. To handle this problem, Databricks has been doubling down on openness, together with interoperability throughout codecs and utilizing open requirements.” mentioned Sanjeev Mohan, Principal Analyst at SanjMo and Former Gartner VP. “The best way during which Databricks is approaching your entire knowledge and AI stack by way of rules of openness, worth/efficiency and end-to-end governance is well-aligned to what clients are on the lookout for in a long-term strategic associate.”
Databricks Knowledge Intelligence Platform
We constructed the Databricks Knowledge Intelligence Platform to permit each worker in each group to succeed with knowledge and AI. Its basis is a knowledge lakehouse constructed on open desk codecs like Delta Lake. You personal your knowledge—it’s not locked right into a vendor format or platform. Constructed on this platform, we can assist you unify governance for 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.
The Knowledge Intelligence Engine is infused all through the platform to grasp the semantics of your knowledge 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 knowledge and AI within the context of your online business.
Governance, safety, and regulatory compliance are vital to any data-driven group as a result of they assist assure that each one knowledge property 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 knowledge and AI property throughout any device, compute engine, or cloud platform.
Knowledge warehousing is just not new, however infusing your knowledge 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 knowledge. And they should management prices, too. Databricks SQL is an clever, serverless knowledge warehouse that runs all of your SQL and BI functions at scale with frequently 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, hundreds of consumers have migrated from legacy or cloud knowledge warehouses to it. We proceed to enhance efficiency and Whole Value of Possession (TCO), too. Just lately we delivered enhancements and AI optimizations that make your knowledge 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 knowledge in pure language and obtain extremely related and trusted AI-generated insights. Powered by knowledge intelligence, AI/BI strikes past conventional BI techniques with bolt-on AI assistants by studying your whole knowledge property, utilization patterns, and enterprise semantics. This deep information permits AI/BI to ship correct solutions from advanced, real-world knowledge, democratizing analytics for everybody in your group.
The fragmented knowledge property extends to advanced knowledge sharing throughout firms and clouds. An open strategy to sharing and collaboration is vital to maximise attain and influence. Inside our knowledge intelligence platform, the Delta Sharing open protocol helps our clients simply and securely share knowledge and AI property to speed up innovation. For collaboration with third-party knowledge, the Databricks Market is the open market for all of your knowledge, analytics and AI wants.
What’s subsequent
We imagine 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 capacity to unite knowledge groups, all whereas serving to them construct the following technology of information and AI functions with high quality, pace, and agility. We imagine that knowledge is much more important to feeding the enterprise, and AI is a power multiplier for this development. Moreover, AI continues to assist knowledge platforms mechanically optimize themselves (if carried out proper). Thanks on your continued participation and belief on this journey.
Be taught extra
To be taught extra in regards to the Databricks Knowledge Intelligence Platform, go to our web site and take a look at our classes and in-depth content material at our Knowledge+AI World Tour 2024. Additionally, observe us on LinkedIn for the most recent information and updates.
You may also hear our CEO, Ali Ghodsi, define our technique in his Knowledge and AI Summit keynote. Prospects can even study upcoming improvements in our quarterly roadmap collection.
Learn the 2024 Gartner® Magic Quadrant™ for Cloud Database Administration Techniques.
Gartner doesn’t endorse any vendor, services or products depicted in its analysis publications and doesn’t advise expertise customers to pick solely these distributors with the best scores or different designation. Gartner analysis publications encompass 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 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 are used herein with permission. All rights reserved.
Gartner, Magic Quadrant for Cloud Database Administration Techniques, Henry Prepare dinner, Ramke Ramakrishnan, Xingyu Gu, Aaron Rosenbaum, Masud Miraz, December 18, 2024.
