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Cloud platform simplifies spark clusters, big data deployments

Thor Olavsrud | July 1, 2014
In his keynote at Spark Summit 2014 in San Francisco today, Databricks CEO Ion Stoica unveiled Databricks Cloud, a cloud platform built around the Apache Spark open source processing engine for big data.

Building a Vibrant Spark Big Data Ecosystem

Stoica notes that the built-in applications are only the beginning. Databricks Cloud is built on 100 percent open source Apache Spark, meaning that all current and future "Certified on Spark" applications will run on the platform out of the box including the more than 1,000 Spark applications that Databricks has certified since launching its application certification program in February of this year.

And, Stoica says, you can turn the equation around. Any Spark application developed on Databricks Cloud will work across any "Certified Spark Distribution," meaning users won't be locked in to the hosted platform. Databricks launched its distribution certification program last week and noted that five vendors had already completed the process: Datastax, Hortonworks, IBM, Oracle and Pivotal.

"We are really looking forward to turning Databricks Cloud into a vibrant ecosystem," Stoica says.

The Databricks Cloud is currently in closed beta with several users and will open to a limited availability beta in August, Stoica says. He adds that the platform will follow a tiered pricing model based on usage. To start the platform will only be available on Amazon Web Services (AWS), those Stoica says that expanding to additional cloud providers is on the road map.

Stoica also announced that Databricks has closed on $33 million in series B funding led by New Enterprise Associates (NEA) with follow-on investment from Andreessen Horowitz.

 

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