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12 Top Big Data Analytics Players

Doug Henschen October 18, 2011 08:01 AM When data grows into the tens or even hundreds of terabytes, you need a special technology to quickly make sense of it all. From Hadoop to Teradata, check out the top platform options.

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Oracle Adds To Its Engineered Systems Story

Oracle says Exadata (shown at left) is its most successful product launch ever, landing more than 1,000 customers since it was introduced in 2008. This "engineered system" puts Oracle's 11g Database on supporting X86-based processing and disk-based storage tiers with flash cache available for ultra-fast querying. It can be used for either transactional environments or data warehousing (though not both simultaneously). Exadata's Hybrid Columnar Compression offers some of the storage efficiencies of column-store databases, delivering up to a 10-to-1 compression ratio, versus an average of 4-to-1 for most row-store databases.

Oracle expanded its engineered systems family in September by announcing the Oracle SuperCluster (shown at right), a new product due out this fall based on the new Sun Sparc T-4 chip. SuperCluster is available in full-rack or half-rack configurations, and you can add capacity in half-rack increments. The full-rack includes 1,200 CPU threads, 4 TB of DRAM, between 97 TB and 198 TB of hard disk, and 8.66 TB of flash memory.

Oracle claims transactional performance for SuperCluster will be 10 times faster and data warehousing performance 50 times faster than conventional server architectures. But as a proprietary Unix machine, SuperCluster will be swimming against the tide of data warehousing deployments moving toward scale-out architectures on commodity X86 hardware. Oracle Exadata and Exalogic are both X86-powered machines that run on Linux.

In the latest news, Oracle announced at Oracle OpenWorld in early October that it will add a distribution of Apache Hadoop software and a related big-data appliance. Oracle is also planning a separate NoSQL transactional DBMS based on the open-source BerkeleyDB product acquired with Sleepycat Software in 2006. And in another embrace of open-source software, Oracle says it will offer a distribution of the open-source R statistical environment for in in-database analysis within the Oracle 11g. Oracle has yet to announce ship dates for the Hadoop, NoSQL, and R products.

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Databases Alone Can't Conquer Big Data Problems

Oracle's Big Plans For Big Data Analysis

10 Lessons Learned By Big Data Pioneers

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By The Numbers

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

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