Databricks Makes Inc. Magazine's 2020 List of Best Workplaces

Award-winning Data and AI Company Continues Hiring Efforts to Support its Mission: Helping Data Teams Solve the World's Toughest Problems

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Databricks

May 06, 2020, 09:00 ET

SAN FRANCISCO, May 6, 2020 /PRNewswire/ -- Databricks, the Data and AI company, today announced it has been named to Inc. Magazine's list of Best Workplaces for 2020. Inc.'s fifth annual list recognizes businesses that have created exceptional workplaces through vibrant cultures, deep employee engagement, and stellar benefits.

"From our founders through to every function of our business, Databricks is one of the most passionate and engaged workforces I've been a part of," said Amy Reichanadter, Chief People Officer at Databricks. "Our people take a lot of pride in our ability to help data teams solve the world's toughest problems. And they understand the critical role that they play in making that mission come to life. We're fortunate to be in a position where we can continue our hiring efforts, and see this recognition as important validation for people who might want to join the Databricks family."

Inc.'s Best Workplaces winners were determined based on Databricks employees' responses to a survey conducted by Quantum Workplace. Topics of the survey questions included trust, management effectiveness, perks, and confidence in the future. Inc. received more than 3,000 submissions this year, and only 395 companies were selected as finalists.

Databricks has received notable recognition of its culture recently, including making the Forbes Best Startup Employers 2020 list. Databricks was also named to the 2019 LinkedIn Top Startups List, which ranked the 50 hottest startups to work for that have grown fast and attracted top talent.

These workplace recognitions come on the heels of additional industry acknowledgements and continued global expansion, including:

Being Named a Leader in Gartner's 2020 Magic Quadrant for Data Science and Machine Learning Platforms: Gartner's report evaluated 16 vendors based on their ability to execute and the completeness of their vision. Databricks believes its placement represents a clear sign of the growing massive demand for unified data analytics. This is the third year in a row that Gartner has recognized Databricks in this Magic Quadrant.
Ranking as one of North America's fastest-growing companies in Deloitte's 2019 Technology Fast 500 list: The list ranked the 500 fastest growing technology, media, telecommunications, life sciences, and energy tech companies in North America. Databricks ranked #10 in the Bay Area, and this was the second consecutive year Deloitte recognized the company for its strong growth.
Continuing Global Expansion to Attract the Best Talent: Databricks committed to investing over 100 Million Euros over the three years to support its European Development Center in Amsterdam — an engineering hub for development and innovation of the company's Unified Data Analytics Platform. The company also introduced a major engineering center in Toronto , Canada, to build on the success experienced in Amsterdam.

"Building a great corporate culture comes only from strong leadership," says Inc. Magazine editor-in-chief Scott Omelianuk. "The companies on Inc.'s Best Workplaces list are setting an example that the whole country can learn from, especially now, when company culture is more important to the workforce than ever."

(1) Gartner "Magic Quadrant for Data Science and Machine Learning," written by Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden, Svetlana Sicular, Farhan Choudhary, February 11, 2020.

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 is the data and AI company. Thousands of organizations worldwide — including Comcast, Condé Nast, Nationwide and H&M — rely on Databricks' open and unified platform for data engineering, machine learning and analytics. Databricks is venture-backed and headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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

About Inc. Media
The world's most trusted business-media brand, Inc. offers entrepreneurs the knowledge, tools, connections, and community to build great companies. Its award-winning multiplatform content reaches more than 50 million people each month across a variety of channels including websites, newsletters, social media, podcasts, and print. Its prestigious Inc. 5000 list, produced every year since 1982, analyzes company data to recognize the fastest-growing privately held businesses in the United States. The global recognition that comes with inclusion in the 5000 gives the founders of the best businesses an opportunity to engage with an exclusive community of their peers, and the credibility that helps them drive sales and recruit talent. The associated Inc. 5000 Conference is part of a highly acclaimed portfolio of bespoke events produced by Inc. For more information, visit www.inc.com.

About Quantum Workplace
Quantum Workplace, based in Omaha, Nebraska, is an HR technology company that serves organizations through employee-engagement surveys, action-planning tools, exit surveys, peer-to-peer recognition, performance evaluations, goal tracking, and leadership assessment. For more information, visit QuantumWorkplace.com.

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SOURCE Databricks