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Databricks Named to CRN Big Data 100

May 2, 2016
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SAN FRANCISCO, CA--(Marketwired - May 2, 2016) - Databricks, the company behind Apache Spark, announced today that CRN®, a brand of www.thechannelco.com, has named Databricks to its 2016 www.crn.com/bigdata100. This annual list recognizes the ingenuity of tech suppliers bringing to market innovative solutions for harnessing the increasingly huge amounts of data generated in today's digital world, raising the bar for data management and challenging established IT practices.

Businesses are constantly grappling with the exploding volume, speed and variety of information they produce and utilize on a daily basis in order to remain competitive. Solution providers are on a never-ending quest to tame this "big data" with innovative tools, technologies and services that can convert it into meaningful, usable statistics.

In response to this challenge, the CRN editorial team has identified the IT vendors at the forefront of data management, business analytics and infrastructure technologies and services. The resulting www.crn.com/bigdata100 list is a valuable guide for solution providers seeking out key big data technology suppliers.

Databricks is focused on the singular mission of making big data simple. The Databricks platform is a fully managed development and production system for advanced analytics powered by Spark. It empowers individuals and organizations to seamlessly transition from data ingest through exploration to production. Organizations utilize Databricks to achieve a wide variety of objectives, including integrating disparate data silos, synthesizing actionable insights in real-time, and deploying advanced analytics solutions.

"Big data is becoming critical for many businesses. Organizations are faced with managing information streams of unprecedented volume and complexity, and are always in need of more powerful and efficient tools for capturing, storing, organizing, securing and analyzing data to gain business insights," said Robert Faletra, CEO, The Channel Company. "We are pleased to present the Big Data 100, a list of vendors whose ingenuity and creative problem-solving are creating effective new ways to help solution providers tackle this mammoth task, challenging the status quo and keeping pace with the rapidly evolving demands of the data management field."

"We are honored to be recognized by CRN as a 2016 Top 100 Vendor in Big Data," said Ali Ghodsi, CEO and Cofounder of Databricks. "Today's data professionals have difficulty managing their data pipelines and our mission to simplify those challenges is consistently top of mind for us. We are grateful for CRN's recognition!"

The 2016 Big Data 100 list is available online at www.crn.com/bigdata100.

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About Databricks

Databricks' vision is to make big data simple for the enterprise. The company was founded by the team that created and continues to drive Apache Spark, a powerful open source data processing engine built for sophisticated analytics, ease of use, and speed. Databricks is the largest contributor to the open source Spark project providing 10x more code than any other company. The company has also trained over 20,000 users on Apache Spark, and has the largest number of customers deploying Spark to date. Databricks is venture-backed by Andreessen Horowitz and NEA. For more information, contact [email protected].

About the Channel Company

The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education, and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers and end users. Backed by more than 30 years of unequaled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelco.com

CRN is a registered trademark of The Channel Company, LLC. The Channel Company logo is a trademark of The Channel Company, LLC (registration pending). All rights reserved.

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