Titles can be misleading. For example, the O’Reilly Strata + Hadoop World conference took place in San Jose, California, this week but…
Read MoreResearch
Survey reveals a few interesting numbers about Apache Spark
A new survey from startups Databricks and Typesafe revealed some interesting insights into how software developers are using the Apache Spark data-processing…
Read MoreDatabricks demolishes big data benchmark to prove Spark is fast on disk, too
Apache Spark is taking the big data world by storm, but the folks at Databricks wanted to disprove a misconception that its only performance advantages over Hadoop MapReduce come in-memory.…
Read MoreDatabricks announces a Spark cloud and $33M in venture capital
Big data startup Databricks keeps humming along, announcing on Monday a large round of venture capital and a new cloud service that aims to seed adoption of Spark -- a framework it says is faster, easier and more versatile than other options.…
Read More4 reasons why Spark could jolt Hadoop into hyperdrive
Apache Spark might push MapReduce to the back burner faster than some people might like, but it will also boost the Hadoop overall ecosystem. The project's co-creator Matei Zaharia explains why Spark is so popular now and where it fits into the big data ecosystem.…
Read MoreIs the MapReduce era coming to an end? Maybe, says one of Spark’s founders
Matei Zaharia is a big Spark booster. He helped build the project into the force it's become in big data analytics and is CTO of Databricks.…
Read MoreSpark is now part of MapR’s Hadoop distro, too
MapR is the latest Hadoop vendor to embrace Apache Spark, adding the entire Spark stack of technologies to its distribution. It's a smart move by MapR, but just more validation that Spark might be the data-processing framework of the future.…
Read MoreBig data startup Databricks is now certifying applications for Spark
Databricks, the company behind the commercialization of the Apache Spark data-processing framework, is certifying third-party software to run on the platform. Spark is gaining popularity as a faster, easier alternative to MapReduce in Hadoop environments.…
Read MoreAs MapReduce fades, Apache Spark is now a top-level project
Apache Spark, an in-memory data-processing framework, is now a top-level Apache project. That's an important step for Spark's stability as it increasingly replaces MapReduce in next-generation big data applications.…
Read MoreSpark is a really big deal for big data, and Cloudera gets it
Cloudera has partnered with a startup called Databricks to integrate and support the Apache Spark data-processing platform within Cloudera's Hadoop software. Spark, which is designed for speed and usability, is one of several technologies pushing Hadoop beyond MapReduce.…
Read MoreDatabricks raises $14M from Andreessen Horowitz, wants to take on MapReduce with Spark
A team of professors behind the open source Spark and Shark in-memory big data projects has raised $13.9 million to commercialize the products via a company called Databricks. Spark and Shark are designed to be much faster and more flexible than Hadoop MapReduce and Hive.…
Read More