Just as IBM famously developed machine-learning supercomputers to beat Jeopardy! players and chess grandmasters, MIT has come out with its own technology designed to take the human guesswork out of Big Data analytics, more than holding its own in three data science competitions with people.
AtScale, which does "BI on Hadoop," today announced a new version of its data platform featuring patent-pending "Adaptive Cache" technology that the company claims is an industry first.
The latest update of the data science tool from startup Dataiku includes support for Apache Spark, the open source data processing engine rapidly becoming one of the most popular technologies in use for Big Data analytics.
Google unveiled a Web-based interactive tool for developers to explore and analyze data stored on the company's cloud platform.
Not to be outdone by Microsoft's recent Big Data enhancements to its Azure cloud service, Amazon Web Services announced its own data initiatives at its conference yesterday.
The new Couchbase database platform emerged with its new N1QL language that allows developers to hook into JSON data stores with declarative, SQL-based queries.
Talend today said an update of its Big Data integration platform makes it the first such offering to include native support for Apache Spark and Spark Streaming.
The promised benefits of becoming a "data-driven" organization capitalizing on business insights gleaned from analytics are many, but it's a complicated transition that vendors are trying to simplify with tools such as the Big Data Scorecard introduced this week by Hortonworks.
Pivotal Software open sourced its SQL-based HAWQ analytics engine for Big Data processing. The company contributed HAWQ and MADlib, an associated parallel machine learning library -- which was already an open source project -- to the Apache Software Foundation.
MapR Technologies, known as one of the top commercial vendors distributing Big Data software based on Apache Hadoop technology, today added JSON support to its MapR-DB NoSQL database, claiming the "industry's first in-Hadoop document database."
In a busy week on the Big Data front, Google announced a managed service for Hadoop and Spark, two technologies also addressed by BlueData's new container deployment functionality. Also coming out this week were new Internet of Things solutions, open source NoSQL offerings and more.
Spark is still hot, seeing tremendous growth in contributing developers, user roles, applications, usage cases and just about every other Big Data metric you can think of, according to a new survey from commercial steward Databricks, which says it's basically eating Hadoop's lunch.
Among the news coming out of this week's Cassandra Summit was ScyllaDB, a rewrite of the NoSQL database that claims 10x more data processing speed via new-age C++ techniques that take advantage of the multiple cores in modern hardware.
Eurotech, an Italy-based provider of embedded computing platforms, has released a new version of its ESF 3.1 development framework, "an inclusive and targeted Java OSGi framework for machine-to-machine multiservice gateways, smart devices and Internet of Things solutions applications."
At its big Dreamforce conference in San Francisco this week, Salesforce unveiled its upcoming IoT Cloud, based on a massively scalable, real-time event processing engine called Thunder that leverages several open source components for Big Data analytics of information collected by the Internet of Things (IoT).