This week’s big data news includes: ScaleOut Software releasing a new edition of its hServer running Hadoop MapReduce; Concurrent partners with services companies for big data in the enterprise; and MapR’s Hadoop platform helps Xactly enhance its offering.
ScaleOut Software Releases hServer V2
ScaleOut Software announced the release of hServer V2, incorporating new technology that runs Hadoop MapReduce on live data. ScaleOut hServer V2 provides a self-contained execution engine for Hadoop MapReduce applications to significantly accelerate performance and eliminate overheads inherent in standard Hadoop distributions. The new release provides low-latency access to Hadoop and enables fast, concurrent access and updating of data sets held in the in-memory data grids while continuous MapReduce analyses are being performed. hServer is available in both a free community edition and in several commercial editions. “This release marks a huge step forward for real-time data analytics,” said Bill Bain, ScaleOut Software’s CEO. “By enabling real-time analytics for Hadoop, which has emerged as by far the most popular platform for analyzing big data, we aim to dramatically improve the effectiveness with which organizations can manage their live data. Reducing Hadoop’s execution time by more than an order of magnitude will make a tremendous difference in the ability to better understand – and predict – key patterns and trends with live, fast-changing data.”
Concurrent Forges Enterprise Partnerships
Big data application platform company Concurrent announced a new partnership with Think Big Analytics, a provider of data science and engineering services for Big Data and big analytics projects. Concurrent partnered with Think Big, which is known for its strategic planning, implementation and training expertise. Think Big provides valuable expertise to execute a big data strategy quickly and with low risk. The big data consulting firm provides services that ensure enterprises have the right foundation in place to make the most of their big data strategies. “In order to achieve big data breakthroughs, companies need to invest in both technology and people. Our partnership with Concurrent addresses both aspects as enterprises can tap into the power of the Cascading application framework while accessing the expertise and training of the Think Big team. After looking at other approaches, we’ve decided to support Cascading as it offers a proven solution for Big Data application development on Hadoop by solving real business problems at enterprise scale.”
Xactly Deploys MapR Hadoop Histribution
MapR announced that Xactly, provider of cloud-based incentive and sales performance management solutions, has deployed the MapR Distribution for Hadoop. Xactly decided to implement Hadoop within its IT infrastructure to effectively and efficiently scale to meet its growth demands and embarked on a comprehensive review of available technologies, including MapR. “Right from the start, we saw that MapR had a very different mentality. They knew what it meant to operate Hadoop in a transactional production data center and understood that this was not an academic exercise; it was mission-critical to our business,” said Ron Rasmussen, VP of engineering, Xactly Corporation. “We’re running customer data and billions of transactions through our systems architecture 24×7, worldwide. Our customers demand high performance and the system software background of the MapR team was a major differentiator.”