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Databricks Named A Visionary For Second Consecutive Year in Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Databricks Improved its Position for Both Ability to Execute and Completeness of Vision; Company to Showcase its Unified Analytics Platform at Gartner Data & Analytics Summit

January 31, 2019
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San Francisco – January 31, 2019 – Databricks, the leader in unified analytics and founded by the original creators of Apache Spark™, has been recognized as a Visionary in Gartner’s January 2019 Magic Quadrant for Data Science and Machine Learning Platforms. Databricks’ Unified Analytics Platform makes artificial intelligence (AI) much more achievable for enterprise organizations and enables them to accelerate their AI initiatives. Databricks will showcase its Unified Analytics Platform at the Gartner Data & Analytics Summit 2019 taking place March 18 - 21 in Orlando, FL.

“We’re thrilled to see Databricks recognized as a Visionary in the latest Gartner Magic Quadrant focused on data science and machine learning. This is the second consecutive year Databricks has been recognized as a Visionary in this report,” said Bharath Gowda, vice president of Product Marketing at Databricks. “We believe our positioning in this report validates our singular focus on eliminating the silos between data engineering and data science through unified analytics.”

Unified Analytics combines data processing and machine learning in a single collaborative platform for data science and engineering teams. The founders of Databricks originally created Apache Spark as the first unified analytics engine, which introduced this new class of software. Databricks’ Unified Analytics Platform is a cloud-based platform powered by Apache Spark that provides auto-scaling for big data clusters, performs up to 50x faster than Apache Spark, integrates seamlessly with machine learning frameworks and simplifies productionizing data pipelines.

Hundreds of global organizations such as Nielsen,, Overstock, Bechtel, Shell and HP are leveraging Databricks to unify data science and data engineering teams across the end-to-end data and machine learning lifecycle. Attendees of the Gartner Data & Analytics Summit can hear their peers real world experiences with Databricks’ Unified Analytics Platform as well as have a hands-on experience by visiting the Databricks booth.

Gartner's report evaluated 17 vendors based on their ability to execute and the completeness of their vision for its Magic Quadrant for Data Science and Machine Learning Platforms. Gartner's completeness of vision axis comprised seven evaluation criteria: market understanding, marketing strategy, sales strategy, offering (product) strategy, business model, vertical/industry strategy, innovation, and geographic strategy. The completeness of vision axis comprised seven criteria: product or service, overall viability (financials), sales execution/pricing, market responsiveness/record, marketing execution, customer experience, and operations.

For more information about Databricks, visit

Gartner Disclaimer
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

About Databricks
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell and HP.

Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation.

Media Contact
Kristalle Cooks
Head of Communications
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