Oracle Updates Big Data Appliance

Oracle updates its Big Data Appliance for big data in the enterprise, YarcData launches a new Urika analytics software version, MapR turbocharges HBase applications, and Hortonworks and WANdisco make Hadoop non-stop.

John Rath

September 27, 2013

3 Min Read
Oracle Updates Big Data Appliance

Oracle updates its Big Data Appliance for big data in the enterprise, YarcData launches a new Urika analytics software version, MapR turbocharges HBase applications, and Hortonworks and WANdisco make Hadoop non-stop.

Oracle Big Data Appliance

During Oracle's (ORCL) OpenWorld conference this week in San Francisco the company announced enhancements for its Big Data Appliance, as well as new versions of Big Data Connectors and Oracle NoSQL Database. The new Big Data Appliance now offers integrated enterprise security with pre-configured Kerberos authentication, LDAP based authorization, and robust centralized auditing with Oracle Audit Vault and Database Firewall. The Big Data appliance also includes updates to Hadoop, Oracle Big Data Connectors, and NoSQL Database. Additionally it offers XQuery processing in Hadoop, enhanced predictive modeling, faster hadoop processing, and improved NoSQL performance and scalability.

“Hadoop systems and NoSQL databases have proven to be ground-breaking technology for Big Data management. However, most solutions on the market cannot withstand the stringent demands of the enterprise where security is absolutely essential and can’t be compromised,” said Çetin Özbütün senior vice president, Data Warehousing and Big Data Technologies, Oracle. “With the latest enhancements to Oracle Big Data Appliance, Oracle is addressing the enterprise-grade security and performance needs customers require in Big Data solutions.”

Cray's YarcData launches new Urika software

YarcData, a Cray company, announced a new software release for the Urika big data analytics appliance that delivers easier and simplified integration with Business Intelligence (BI) and visualization tools, as well as several key performance and productivity optimizations. Urika now integrates with a broad array of enterprise interfaces, including W3C industry standards SPARQL and RDF, JDBC (Java DataBase Connectivity), JSON (Java Script Object Notation), and Apache Jena. Additionally, analysts and data scientists can now easily interact with Urika using a wide variety of current and emerging third-party visualization and BI tools including Centrifuge Visual Network Analytics, and TIBCO Spotfire. Urika includes graph-optimized hardware that provides up to 512 terabytes of global shared memory; massively-multithreaded graph processors supporting 128 threads/processor; highly scalable I/O with data ingest rates of up to 350 terabytes per hour.

"We have seen an explosion in front-end tools for data discovery, and YarcData's mission is to be the server back-end for data discovery, similar to how MPP appliances were the server back-end for traditional business intelligence," said Arvind Parthasarathi, President of YarcData. "With our new software release, the Urika appliance further accelerates the uncovering of valuable insight in disparate enterprise data by combining scalable performance and industry-standard interfaces with the existing analytic ecosystem. Urika also eliminates the need for extensive data preparation, modeling and knowing all of the questions to be asked upfront."

MapR turbocharges HBase applications

MapR announced that it has updated its M7 edition to dramatically improve HBase application performance with throughput that is 4-10 times faster while eliminating latency spikes. Consistent read latencies in the less than 20 millisecond range across varying workloads with HBase applications running on M7. “Our customers are moving Hadoop from pilot adoption and project use to mainstream enterprise deployments,” said John Schroeder, CEO and cofounder, MapR Technologies. “MapR customers are experiencing the same reliability and enterprise-level performance with our distribution as they have seen with the Oracle platform at a fraction of the cost.”

Hortonworks and WANdisco make Hadoop non-stop

Apache Hadoop contributor and provider Hortonworks and WANdisco, a leading provider of continuous availability software, announced that the Hortonworks Data Platform (HDP) will support WANdisco’s Non-Stop Hadoop technology. The two companies will jointly go to market to provide integrated, high performance Big Data solutions built on HDP with full integration of WANdisco’s Non-Stop Hadoop software.

“Enterprises are increasingly adopting Apache Hadoop as a core element of their IT infrastructure,” said David Richards, Chairman and CEO, WANdisco.  “Working with Hortonworks is a natural fit given their leadership in the Apache Hadoop community.   A major enterprise requirement is continuous data availability and WANdisco’s Non-Stop Hadoop Technology is the only technology available that addresses it. The combination of WANdisco, Hortonworks and SAP will provide a reference architecture for Hadoop in the Enterprise.”

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