Apache Spark Now a Top-level Apache Project
We are delighted with the recent announcement of the Apache Software Foundation that Apache Spark has become a top-level Apache project. This is...
AMPLab updates the Big Data Benchmark
The AMPLab at UC Berkeley, with help from Databricks, recently released an update to the Big Data Benchmark . This benchmark uses Amazon...
Apache Spark 0.9.0 Released
Our goal with Apache Spark is very simple: provide the best platform for computation on big data. We do this through both a...
Apache Spark and Hadoop: Working Together
We are often asked how does Apache Spark fits in the Hadoop ecosystem , and how one can run Spark in a existing...
Apache Spark In MapReduce (SIMR)
Apache Hadoop integration has always been a key goal of Apache Spark and YARN users have long been able to run Spark on...
Apache Spark 0.8.1 Released
We are happy to announce the release of Apache Spark 0.8.1. In addition to performance and stability improvements, this release adds three new...
Highlights From Spark Summit 2013
Earlier this month we held the first Spark Summit, a conference to bring the Apache Spark community together. We are excited to share...
Putting Apache Spark to Use: Fast In-Memory Computing for Your Big Data Applications
A version of this post appears on the Cloudera Blog . Apache Hadoop has revolutionized big data processing, enabling users to store and...
Databricks and Cloudera Partner to Support Apache Spark
Today, Cloudera announced that it will distribute and support Apache Spark. We are very excited about this announcement, and what it brings to...
The Growing Apache Spark Community
This year has seen unprecedented growth in both the user and contributor communities around Apache Spark . This rapid growth validates the tremendous...