July 3, 2014
The San Francisco-based big data analytics software company that centers its platform around Apache Spark and Shark, launched Databricks Cloud, a Shark-powered product designed to simplify the provisioning of Spark clusters by only requiring users to specify the desired capacity of a new cluster.
For users who are looking to get their hands on Spark to access and analyze data at a faster pace, Databricks Cloud, which is in limited availability with several beta users, provides several new built-in applications to expedite the process, including Notebooks, Dashboards and Job Launcher.
“We built Databricks Cloud to enable the creation of end-to-end pipelines out of the box while supporting the full spectrum of Spark applications for enhanced and additional functionality,” Databricks CEO Ion Stoica said in a statement.
He added: “It was designed to appeal to a whole new class of users who will adopt big data now that many of the complexities of using it have been alleviated.”
In addition to the new platform, Databricks also announced the close of a $33 million Series B funding round led by New Enterprise Associates (NEA), with a follow-on investment from Andreessen Horowitz.
Databricks received $14 million from Andreessen Horowitz in September 2013.
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