MapR Technologies Inc. added the newly available Apache Drill 1.0 project for SQL-based Big Data analytics to its Apache Hadoop distribution.
Syncfusion has updated what it claims to be "the one and only Hadoop distribution designed and optimized for Windows" with multiple-node cluster management capabilities.
With nearly 20 years of experience working with spatial and graph data in its flagship relational database, Oracle Corp. is taking that expertise and putting it into a new Big Data tool.
Less than a year old, startup MODE Inc. has unveiled a platform designed to help mobile developers connect their apps to Internet of Things (IoT) devices spewing out tons of high-volume data.
Actual real-world adoption of Hadoop-based Big Data technologies lags behind the hype, a new study from Gartner Inc. indicates.
New hybrid cloud capabilities are among a host of improvements to IBM's Watson cloud-based Big Data analytics service.
Pivotal Software released its first Apache Hadoop distribution based on the controversial Open Data Platform, a controversial new industry consortium designed to further standardized Big Data initiatives.
The ability to do something is not reason in itself to do it. Every IoT project needs a good business case behind it.
During the opening keynote address of its Build developer conference, Microsoft unveiled a data warehouse for the Azure cloud, along with "elastic databases" and a data lake.
Will Apache Parquet be the "next big thing" in the Big Data/Hadoop ecosystem?
In a somewhat different take on democratizing Big Data, Lavastorm Analytics yesterday announced it was adding transparency and collaboration to analytics projects.
MapR Technologies declined to join the young Open Data Platform consortium to further Big Data efforts and today penned a blog post explaining why.
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.
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.
Big Data integrator Talend today announced an Apache Spark scenario has been added to its Big Data Sandbox for Cloudera.
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.