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Databricks Ranked a Fastest Growing Company in North America on Deloitte’s 2018 Technology Fast 500™

Unified Analytics Leader Ranked #18 in the Bay Area; Attributes Growth to Enterprise Adoption of Unified Analytics and Strategic Partnerships

November 16, 2018
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San Francisco, Calif. – November 15, 2018 – Databricks, the leader in unified analytics and founded by the original creators of Apache Spark™, today announced it ranked 18th in the Bay Area on Deloitte’s Technology Fast 500™, a ranking of the 500 fastest growing technology, media, telecommunications, life sciences and energy tech companies in North America. The unified analytics leader ranked #76 overall.

Databricks’ co-founder and chief executive officer, Ali Ghodsi, credits growth to the company’s ability to address the artificial intelligence (AI) dilemma: most enterprises are struggling to succeed with AI. Today, data science and data engineering are siloed in different systems and different organizations, creating friction and slowing projects down. This is becoming an impediment to the highly iterative nature of AI projects.

“We, as an industry, spend many cycles talking about the ‘sexy AI’ projects - robotics, chatbots, self-driving cars - but in reality, there are AI initiatives behind the scenes at global organizations that have a true impact on the way we live our lives,” said Ghodsi. “Personalized healthcare, credit card fraud detection, increasing the efficiencies of manufacturing plants - these are the ‘boring AI’ stories no one is talking about. Our company growth is based on these real-world use cases that don’t get enough exposure to highlight the true impact of AI.”

Over the last year Databricks has experienced growth due to significant advancements in its Unified Analytics Platform. Organizations are leveraging Databricks Delta which prepares quality data for AI by simplifying reliability and performance challenges. Databricks has also addressed the complexity of operationalizing machine learning by providing MLflow as a managed service. MLflow is an open source, cross-cloud framework that simplifies the end-to-end machine learning workflow.

Partnerships have played a critical role in Databricks’ business growth. Last year Databricks announced a partnership with Microsoft, resulting in a first-party service, Azure Databricks. This alliance is a major milestone for the growth of Databricks’ Unified Analytics Platform as it addresses customer demand for Apache Spark on Microsoft Azure. In addition to offering Databricks on AWS, Databricks extends the reach of the Unified Analytics Platform through partnerships with Alteryx, Capgemini, DataRobot, RStudio, Snowflake Computing and Talend.

About Deloitte’s 2018 Technology Fast 500™
Deloitte’s Technology Fast 500 provides a ranking of the fastest growing technology, media, telecommunications, life sciences and energy tech companies — both public and private — in North America. Technology Fast 500 award winners are selected based on percentage fiscal year revenue growth from 2014 to 2017.

In order to be eligible for Technology Fast 500 recognition, companies must own proprietary intellectual property or technology that is sold to customers in products that contribute to a majority of the company's operating revenues. Companies must have base-year operating revenues of at least $50,000 USD, and current-year operating revenues of at least $5 million USD. Additionally, companies must be in business for a minimum of four years and be headquartered within North America.

About Databricks
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Databricks’ founders started the Spark research project at UC Berkeley that later became Apache Spark. Databricks provides a Unified Analytics Platform powered by Apache Spark 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

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

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