Google yesterday introduced two new connectors for accessing Hadoop data stored in the company's cloud storage platform.
MapR announced the addition of the Apache Spark technology stack to its Hadoop distribution, one of the leading tools in the fast-growing arena of Big Data analytics.
MongoDB Inc. announced the "biggest release ever" of its popular NoSQL database, with improvements coming in the areas of aggregation, text-search integration, query engine performance, security and many more.
As expected, on April 1 Microsoft released to "general availability" an updated version of its SQL Server database, SQL Server 2014.
Facebook today announced an alliance with Web powerhouses Google Inc., LinkedIn and Twitter Inc. to improve the open source MySQL database for large-scale applications.
Cloudera this week raised $160 million in funding from major investors as it considers an initial public offering, planning to invest much of the money in engineering resources to extend its contributions to the Apache Hadoop community.
Embarcadero Technologies today announced a new app development platform to help coders build native mobile apps targeting multiple devices with one codebase.
SQL Server 2014 hit its "release-to-manufacturing" milestone today, and will go live April 1. Microsoft also launched Windows Azure HD Insight -- the company's "big data" Hadoop solution.
Pivotal Software Inc. today announced the release of a new version of its enterprise Hadoop distribution based on the recently upgraded Apache Hadoop 2.2.
Intel Corp. announced a new platform that seeks to simplify Big Data analytics while improving upon the capabilities of straight Apache Hadoop.
Open source business intelligence and analytics company Pentaho Corporation last week announced native support of two Apache projects: Storm and YARN.
A flurry of new announcements from Cloudera, Red Hat, SGI and others highlights growing trend in real-time analytics of massive amounts of data.
Google this week announced a Google Cloud Storage Connector for Hadoop that simplifies Big Data analysis on its cloud platform by eliminating the need to use the oft-maligned Hadoop Distributed File System.
Neo Technology on Tuesday announced the general availability of Neo4j 2.0, which adds a new schema construct Cypher query language improvements, among other changes.
Concurrent Inc. this week released Cascading Lingual, an open source project designed to give developers a standards-based SQL interface for creating and working with Big Data applications on Apache Hadoop.