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Databricks to Showcase Unified Analytics Platform at Gartner Data & Analytics Summit 2018

February 27, 2018
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San Francisco, Calif., February 27, 2018 – Databricks, provider of the leading Unified Analytics Platform and founded by the team who created Apache Spark™, will showcase its Unified Analytics Platform as a Silver sponsor (booth #1111) at the Gartner Data & Analytics Summit 2018 held March 5-8 in Grapevine, Texas. Hundreds of organizations are leveraging Databricks’ Unified Analytics Platform as a simplified approach for data science and data engineering teams to accelerate innovation and make data-driven business decisions based on big data analytics and artificial intelligence (AI).  Databricks, recently named a Visionary in the Gartner Magic Quadrant for Data Science and Machine-Learning Platforms 2018, focuses on making Big Data and AI simple for enterprise organizations.

The Gartner Data & Analytics Summit will offer a holistic view of current trends and topics around data management, business intelligence (BI), and analytics, including innovative technologies such as AI, blockchain and IoT. Enterprises attend the Summit to learn about the shift toward a data-driven culture to lead the way to better business outcomes. Databricks’ Unified Analytics Platform directly addresses organizations’ issues associated with AI adoption and deployment, making this technology suitable for all businesses.

Databricks’ Unified Analytics Platform is a cloud-based platform powered by Apache Spark, the most popular open source technology for big data processing and machine learning workloads.

“Most data and analytics leaders realize that when it comes to embarking on new AI and Machine Learning initiatives, it’s still really about the data first and foremost.  Their teams need to figure out how you get a massive amount of data, often in real-time, to your model in a way that supports an iterative process and generates a meaningful business result,” said Rick Schultz, chief marketing officer at Databricks. “The Databricks Unified Analytics Platform addresses precisely this problem and, as such, we expect strong engagement from the attendees of Gartner Data & Analytics Summit, many of whom already use Spark.”

To expand the global reach of the Unified Analytics Platform, Databricks recently announced a joint product partnership with Microsoft. The new alliance addresses customer demand for Spark on Microsoft Azure by offering the Unified Analytics Platform as a First Party Service called Azure Databricks. This new integrated service makes it easier for organizations around the globe to derive value from their Big Data and realize the promise of AI.  With Azure Databricks, customers can accelerate innovation with one-click set up and effortless integration with a wide variety of Microsoft data stores and services.

About Databricks
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created 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. For more information, visit

© Databricks 2017. All rights reserved. Apache, Apache Spark and Spark are trademarks of the Apache Software Foundation.

(1)Gartner Magic Quadrant for Data Science and Machine-Learning Platforms, written by Carlie J. Idoine, Peter Krensky, Erick Brethenoux, Jim Hare, Svetlana Sicular, Shubhangi Vashisth, February 22, 2018.


Media Contact:
Kristalle Cooks
P: 650-346-7810
E: [email protected]


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