California startup Databricks has raised $33 million in funding that will be used to launch its Databricks Cloud service.
The founders of processing engine Apache Spark started the Berkeley-based company, according to Business Cloud News. Spark, which has the ability to quickly run through huge amounts of data, is also capable of processing streaming, machine learning and interactive queries.
"Getting the full value out of their big data investments is still very difficult for organizations. Clusters are difficult to set up and manage, and extracting value from your data requires you to integrate a hodgepodge of disparate tools, which are themselves hard to use," said Ion Stoica, CEO of Databricks.
The Databricks Cloud is designed to let companies use Spark-based apps on it for different business purposes, Tech Times reported. Stoica said the company is developing the cloud so that it won't need a variety of tools to clean up, process and analyze data.
"Our goal is to say we want to make it as easy as possible for people to use it," he explained.
The startup introduced the new platform at its annual Spark summit. While the cloud will run first on Amazon Web services, Stoica said it will soon be available for Microsoft's and Google's clouds, as well as others.
Databricks received the $33 million through series B funding, which was led by New Enterprise Associate (NEA). Investment was also provided by Andreessen Horowitz., Converge Network Digest reported.
"Databricks remains committed to developing and expanding Apache Spark fully in the open and continuing to add to the capabilities that made it a vital big data platform," said Matei Zaharia, CTO of Databricks. "We will continue to commit significant resources to drive open-source innovation in Spark alongside the community. Furthermore, we look forward to enabling a whole new set of users and developers to experience and leverage the power of Spark to drive enterprise value."
