Databricks is big data processing company that has raised $33 million in Series B funding. Databricks is the commercial entity created by the developers behind the open source Apache Spark project. Databricks has also launched a new cloud product.
Databricks simplifies big data processing by moving it to the cloud while using Apache Spark to drive the platform. This round of funding was led by New Enterprise Associates (NEA) with participation from previous investor Andreessen Horowitz.
Databricks has now raised $47 million in total funding. The funding will be used to increase the number of employees and for expansion. Databricks’ new product is a cloud platform called Databricks Cloud.
Databricks Cloud was designed to simplify big data processing by bringing the process under one umbrella. Databricks’ cloud solution has three components: The Databricks Platform, Spark, and the Databricks workspace.
The service will provide a single place to process data without having to manage a Hadoop cluster to process the data. The data processing is done in the cloud instead of a managed environment.
It was designed to allow customers to access and plug in third party Spark apps. Databricks Cloud is available to a limited set of of customers today, but it will expand in the coming months.
[Image Credit: UCSD]