Home Big Data Databricks Named a Chief in 2023 Gartner® Magic Quadrant™ for Cloud Database Administration Techniques

Databricks Named a Chief in 2023 Gartner® Magic Quadrant™ for Cloud Database Administration Techniques

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Databricks Named a Chief in 2023 Gartner® Magic Quadrant™ for Cloud Database Administration Techniques

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We’re excited to announce that Gartner has acknowledged Databricks as a Chief for a 3rd consecutive yr within the 2023 Gartner® Magic Quadrant™ for Cloud Database Administration Techniques. This yr, Gartner evaluated 19 distributors, and we’re honored to be acknowledged for our Databricks Knowledge Intelligence Platform on Amazon Net Companies, Google Cloud Platform, and as a first-party product with Microsoft as Azure Databricks.

Obtain a complimentary copy of the report right here.

2023 Gartner® Magic Quadrant for Cloud Database Management Systems
2023 Gartner® Magic Quadrant for Cloud Database Administration Techniques

At Databricks, our buyer obsession continues to gas our innovation and product roadmap, and we have been quickly increasing our Knowledge Intelligence Platform to really democratize Knowledge + AI. Along with being named a Chief, we’re thrilled to advance in each in Completeness of Imaginative and prescient and the Potential to Execute.

Beneath are a few of the largest strengths of the Databricks Knowledge Intelligence Platform, which we consider contributed to our placement within the Gartner Magic Quadrant.

Democratizing Knowledge + AI throughout your whole group

Databricks pioneered the idea of the lakehouse to mix and unify one of the best 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. At this time, 74% of worldwide CIOs report having a lakehouse of their property, and nearly the entire the rest intend to have one throughout the subsequent three years.

Nonetheless, whereas lakehouse adoption has turn out to be a power available in the market, our trade is innovating at an unprecedented charge, and there is been one other quickly rising know-how known as Generative AI. You may be aware of the MosaicML acquisition Databricks executed just lately. We mixed these two applied sciences to create a brand new class to really democratize knowledge and AI. We name this the Knowledge Intelligence Platform (DI Platform), an AI-powered evolution of Databricks that opens up an entire new world of prospects to democratize knowledge and AI throughout a corporation at a scale by no means earlier than realized.

From ETL to knowledge warehousing to generative AI, Databricks helps lots of our clients throughout the globe to simplify and speed up their knowledge and AI objectives. We now have over 10,000 international clients throughout all industries constructing wonderful options and delivering enterprise impression with the lakehouse structure.

Databricks Knowledge Intelligence Platform

Now greater than ever, leaders need to leverage knowledge and AI to rework their companies. However, most organizations wrestle as a result of their environments are too advanced. These challenges embrace knowledge silos with a special strategy to safety and governance, knowledge privateness and safety limitations with AI, and technical skilling limitations.

We constructed the Databricks Knowledge Intelligence Platform to permit each worker in each group to search out success with knowledge and AI. The Knowledge Intelligence Engine on the coronary heart of the platform understands the semantics of your knowledge and the way it flows throughout your whole workloads. This permits for brand new strategies of 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 enterprise.

Governance, safety, and regulatory compliance are vital to any data-driven group as a result of they assist assure that each one knowledge belongings are maintained and managed securely throughout the enterprise. Inside our platform, Databricks Unity Catalog is the trade’s first unified governance answer for knowledge and AI. With Unity Catalog, organizations can seamlessly govern their structured and unstructured knowledge, machine studying fashions, notebooks, dashboards, information, and federated databases on any cloud or platform. Knowledge scientists, analysts and engineers can use Unity Catalog to securely uncover, entry and collaborate on trusted knowledge and AI belongings, leveraging AI to spice up productiveness and unlock the total potential of the lakehouse setting. This unified strategy to governance accelerates knowledge and AI initiatives whereas guaranteeing compliance in a simplified method.

In knowledge warehousing, Databricks SQL (DB SQL) is a serverless knowledge warehouse that allows you to run all of your SQL and BI functions at scale with as much as 12x higher value/efficiency, a unified governance mannequin, open codecs and APIs, and your instruments of selection – no lock-in. Because the inception of Databricks SQL two years in the past, 1000’s of shoppers have migrated from legacy or cloud knowledge warehouses to it. They’ve noticed best-in-class efficiency/price for his or her knowledge warehousing workloads, along with unified governance and AI capabilities that the info warehouses lacked.

Moreover, knowledge sharing has turn out to be much more essential within the digital economic system as enterprises need to simply and securely change knowledge, AI fashions, apps, and options with their clients, companions, suppliers, and inner groups in a unified approach to higher collaborate and unlock worth from that knowledge. To allow this with out limitations and lock-in, Delta Sharing affords collaboration and privacy-safe sharing with an open answer to securely share dwell knowledge out of your lakehouse to any computing platform, and with Databricks Market we offer and open ecosystem for enormous attain.

What’s subsequent

We consider our recognition as a Chief for a 3rd consecutive yr and our positioning each Completeness of Imaginative and prescient and Potential to Execute is a testomony to Databrick’s success and our capacity to deliver collectively knowledge groups and allow them to create the subsequent technology of information and AI functions with high quality, velocity, and agility. We consider that AI will proceed to rework knowledge platforms and we thank our clients and companions for being on this journey with us.

Study extra

To study extra concerning 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 2023. Additionally, observe us @Databricks for the most recent information and updates.

Learn the Gartner Magic Quadrants 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 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 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.



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