Intel Adds Graph Builder to Big Data Tools
Intel adds graph and other big data software updates, Trinity Pharma raises $15 million to grow its health care analytics offering, and Spice Machine and MapR collaborate for real-time SQL-on-Hadoop databases.
December 18, 2013
Intel adds graph and other big data software updates, Trinity Pharma raises $15 million to grow its health care analytics offering, and Spice Machine and MapR collaborate for real-time SQL-on-Hadoop databases.
Intel updates big data tools. Intel (INTC) announced several updates to its data center software products that provide enhanced security and performance for big data management, as well as a suite of tools that simplify deployment of machine learning algorithms and advanced analytics, including graph analysis. The announcements include the release of Intel Graph Builder for Apache Hadoop software v2.0, Intel Distribution for Apache Hadoop software 3.0, Intel bAnalytics Toolkit for Apache Hadoop software and the Intel Expressway Tokenization Broker. Intel Graph Builder for Apache Hadoop software v2.0 is a set of pre-built libraries that enable high-performance, automated construction of rich graph representations. Intel Distribution for Apache Hadoop software 3.0 includes a number of security enhancements to the second generation of the Apache Hadoop architecture recently released by the open source community. The Intel Distribution for Apache Hadoop software 3.0 includes support for Apache Hadoop 2.x and YARN with major upgrades to MapReduce, HDFS, Hive, HBase, and related components. "Some of the leading data-driven companies have invested heavily to create and implement their own big data analytics solutions," said Boyd Davis, vice president and general manager of Intel's Datacenter Software Division. "Intel is bringing this capability to market by providing software that is more secure and easier to use so that companies of all sizes can more easily uncover actionable insight in their data."
Trinity Pharma raises $15 million in growth capital. Big data health care analytics company Trinity Pharma Solutions announced that it has raised $15 million in growth and expansion funding. The investment will enable Trinity to extend its solutions in response to strong demand for its cloud-based, big data healthcare analytics. “Over the last 12 years, Trinity has built a proven business and technology that is solving the increasingly complex challenges that life sciences and healthcare companies face worldwide. The rapid change in healthcare requires real-time analytics to provide value beyond counting pills and with the potential to improve patient outcomes,” said David Tamburri, HEP General Partner. “With a seasoned management team, led by Co-Founder and CEO Zackary King, we see tremendous opportunity to accelerate Trinity’s growth in support of demand for its cloud-based software." Trinity expects to invest in the areas of sales, marketing, and technology to better serve its rapidly expanding customer base. The company also plans to double its employee base and expand its geographic reach with offices in New Jersey and California.
Splice Machine and MapR partner for Hadoop database. Real-time transactional SQL-on-Hadoop database provider Splice Machine announced a partnership with MapR Technologies. The partnership brings Splice Machine to the MapR enterprise Hadoop platform, enabling companies to use the MapR Distribution for Hadoop to build their real-time SQL-on-Hadoop applications. Splice Machine enables MapR Distribution users to tap into real-time updates with transactional integrity, an important feature for companies looking to become real-time, data-driven businesses. “This partnership is another step in the progression of Hadoop, from a highly scalable data store, to a real-time, high-performance platform for operational and analytical applications,” said Bill Bonin, VP of business development of MapR Technologies. “Now, companies have the ability to combine our enterprise-grade Hadoop distribution with Splice Machine to build real-time, transactional applications that are also dependable, scalable and secure.”
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