We’re excited to announce that Gartner has acknowledged Databricks as a Chief for a fourth consecutive 12 months within the 2024 Gartner® Magic Quadrant™ for Cloud Database Administration Techniques. We’re honored to be acknowledged as a frontrunner among the many 20 distributors evaluated. The options evaluated for this report included the Databricks Knowledge Intelligence Platform on Amazon Internet Companies, 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 Capacity to Execute. The Capacity to Execute rating instantly displays our tempo of innovation. Previously 12 months, we’ve launched options in our Knowledge Intelligence Platform for information warehousing, analytics and AI/BI, information sharing, information engineering, information governance, and lakehouse storage:
| Knowledge Warehousing | Analytics and AI/BI | Knowledge Sharing |
|---|---|---|
| AI features | 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 evaluation | |
| 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 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 assist |
| Row filtering/column masking | Autonomous desk optimizations |
Democratizing Knowledge + AI throughout your total group
Databricks pioneered the idea of the lakehouse to mix and unify one of the 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 turn out to be a drive out there, our trade is innovating at an unprecedented charge. Companies are insisting on governance to assist them make sure that the suitable persons are wanting on the proper information–and utilizing it for the suitable functions. With the rise of generative AI, we hear extra firms insisting that this governance is prolonged to all of their information property, together with fashions and functions.
From ETL to information warehousing to generative AI, Databricks helps a lot of our clients worldwide simplify and speed up their information and AI targets. Now we have over 10,000 international clients throughout all industries, constructing wonderful options and delivering enterprise impression with the lakehouse structure.
“As information estates fragment and enterprise items fund their very own options, firms have to make it simpler to maintain their information transportable 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.” mentioned Sanjeev Mohan, Principal Analyst at SanjMo and Former Gartner VP. “The way in which during which Databricks is approaching the whole information and AI stack via ideas of openness, value/efficiency and end-to-end governance is well-aligned to what clients are searching for in a long-term strategic accomplice.”
Databricks Knowledge Intelligence Platform
We constructed the Databricks Knowledge 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 might 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 Knowledge Intelligence Engine is infused all through the platform to grasp the semantics of your information and the way it flows throughout your entire 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 your corporation.
Governance, safety, and regulatory compliance are vital to any data-driven group as a result of they assist assure that every one information 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 information and AI property throughout any device, compute engine, or cloud platform.
Knowledge warehousing just isn’t new, however infusing your information warehouse with AI-driven intelligence is. Clients 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 frequently bettering efficiency, a unified governance mannequin, open codecs and APIs, and your instruments of selection – no lock-in. After the inception of Databricks SQL in 2022, 1000’s of shoppers have migrated from legacy or cloud information warehouses to it. We proceed to enhance efficiency and Complete Price 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 allows 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 programs with bolt-on AI assistants by studying your total information property, utilization patterns, and enterprise semantics. This deep data permits AI/BI to ship correct solutions from advanced, real-world information, democratizing analytics for everybody in your group.
The fragmented information property extends to advanced information sharing throughout firms and clouds. An open method to sharing and collaboration is vital to maximise attain and impression. Inside our information intelligence platform, the Delta Sharing open protocol helps our clients simply and securely share information and AI property 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 imagine our recognition as a Chief for a fourth consecutive 12 months and our continued enchancment in each Completeness of Imaginative and prescient and Capacity to Execute is a testomony to Databricks’ success and our capacity to unite information groups, all whereas serving to them construct the subsequent era of information and AI functions with high quality, pace, and agility. We imagine that information is much more important to feeding the enterprise, and AI is a drive multiplier for this development. Moreover, AI continues to assist information platforms routinely optimize themselves (if completed proper). Thanks to your continued participation and belief on this journey.
Be taught extra
To study extra concerning the Databricks Knowledge Intelligence Platform, go to our web site and take a look at our periods and in-depth content material at our Knowledge+AI World Tour 2024. Additionally, observe us on LinkedIn for the most recent information and updates.
It’s also possible to hear our CEO, Ali Ghodsi, define our technique in his Knowledge and AI Summit keynote. Clients can even find out about 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 know-how 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 truth. 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.
