Post job

Apache Spark company history timeline

2009

The story started back in 2009 with mesos.

2010

Spark was released on GitHub on October 3, 2010.

Then it was made open source in 2010 under a Berkeley Software Distribution (BSD) license.

2013

After being released, Spark grew into a broad developer community, and moved to the Apache Software Foundation in 2013.

In 2013, the project had grown to widespread use, with over 100 contributors from more than 30 organizations outside UC Berkeley.

2014

Graduation from the incubator project was on February 15, 2014 and four days later became a Top Level Project with Apache.

2017

On November 15,2017 during Microsoft Connect, Azure Databricks was announced.

2019

Azure Databricks and Lambda ArchitectureFebruary 19, 2019

Work at Apache Spark?
Share your experience
Founded
2009
Company founded
Headquarters
Berkeley, CA
Company headquarter
Founders
Ali Ghodsi
Company founders
Get updates for jobs and news

Rate Apache Spark's efforts to communicate its history to employees.

Zippia waving zebra

Apache Spark jobs

Do you work at Apache Spark?

Is Apache Spark's vision a big part of strategic planning?

Apache Spark history FAQs

Zippia gives an in-depth look into the details of Apache Spark, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Apache Spark. The employee data is based on information from people who have self-reported their past or current employments at Apache Spark. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Apache Spark. The data presented on this page does not represent the view of Apache Spark and its employees or that of Zippia.

Apache Spark may also be known as or be related to Apache Spark.