Despite all the Big Data hype, a new survey of database deployments shows traditional, structured relational database management systems still rule the corporate world.
Google Inc. today announced its Cloud Dataflow tool for Big Data analytics is being moved to beta status, making it available to more developers.
Big Data integrator Talend today announced an Apache Spark scenario has been added to its Big Data Sandbox for Cloudera.
The Open Data Platform -- formed a couple months ago to advance Hadoop-based Big Data technologies for the enterprise -- has achieved its stated goal to develop a standard "ODP Core" upon which to base projects.
Server hardware company PSSC Labs is teaming up with Plexxi Inc. -- known for its software-defined networking (SDN) technology -- to offer what they claim is the industry's "first SDN-based converged infrastructure solution for scale-out Big Data."
As Big Data is democratized into "just data," vendors such as Metanautix Inc. and Datameer Inc. are providing tools to lower the bar for individual access to large-scale analytics.
Move over, Apache Spark and other Big Data speed kings, Ryft Systems Inc. is claiming to be the new top dog for fast analytics of huge amounts of data.
As original Apache Hadoop projects mature and graduate to commercial stewardship for further refinement, the open source Apache Software Foundation (ASF) and private companies are continually incubating and launching new open source projects to fill in the gaps in Big Data analytics.
Cisco Systems Inc. announced resale partnerships with the "big three" Apache Hadoop-based software vendors: Cloudera Inc., Hortonworks Inc. and MapR Technologies Inc.
The venerable C programming language isn't going away, as shown by Google's open sourcing of a framework to let Big Data devs run native C code in Hadoop: MapReduce for C.
The Apache Software Foundation signed off on version 1.0 of HBase, the "Hadoop database," after seven years of development.
Any doubts about the skyrocketing rise of Apache Spark technology in the Big Data ecosystem were put to rest at a recent conference, where it almost stole the show.
The latest major vendor to try its hand at "democratizing" Big Data is Oracle, which today announced a quartet of new products designed "to enable Hadoop, NoSQL, and SQL technologies to work together and be deployed securely in any model -- whether public cloud, private cloud or an on-premises infrastructure."
Microsoft today announced updates to several Big Data-related services on its Azure cloud platform, exhibiting a continuation of its new direction toward openness and interoperability.
The company is open sourcing its Big Data platform, helping to found an Open Data Platform to promote technologies based on open source software, and is joining with Hortonworks Inc. to further Apache Hadoop capabilities.
Datameer Inc. has introduced what it calls the first enterprise-grade Big Data analytics platform targeting department-specific deployments.
Big Data specialist BlueData Software Inc. added Tachyon to its EPIC private cloud platform as a speedy in-memory distributed file system option.
Lavastorm Analytics is the latest company seeking to "democratize" Big Data analytics in the face of a lack of data scientists, developers and others with advanced statistical and analytics skills.
VoltDB Inc. addressed the need for speed in real-time analysis of streaming data with the latest update to its namesake "NewSQL" in-memory, scale-out database, featuring expanded integration with Big Data mainstay Apache Hadoop, along with several other enhancements.
Reactive programming company Typesafe today released a survey that confirms the high adoption rate of Apache Spark, an open source Big Data processing framework that improves traditional Hadoop-based analytics.