Aster Data's Newest Offering Provides Row and Column Functionality for Big Data MPP Analytics

Updated: September 15, 2010

Row stores traditionally have been optimized for look-up style queries, while column stores are traditionally optimized for scan-style queries. Providing both a row store and a column store within nCluster and delivering a unified SQL-MapReduce framework across both stores enables both query types.

Other features include:

  • Choice of storage, implemented per-table partition, which provides customers flexible performance optimization based on analytical workloads.

  • Such services as dynamic workload management, fault tolerance, Online Precision Scaling on commodity hardware, compression, indexing, automatic partitioning, SQL-MapReduce, SQL constructs, and cross-storage queries, among others.

  • New statistical functions popular in decision analysis, operations research, and quality management including decision trees and histograms.
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