Quest Software Announces Hadoop-Centric Software Analytics


Image representing Hadoop as depicted in Crunc...Quest Software, Inc. (now part of Dell) announced three significant product releases today aimed at helping customers more quickly adopt Hadoop and exploit their Big Data:

  • Kitenga Analytics ? Based on the recent acquisition of Kitenga,
    Quest Software now enables customers to analyze structured,
    semi-structured and unstructured data stored in Hadoop. Available
    immediately, Kitenga Analytics delivers sophisticated capabilities,
    including text search, machine learning, and advanced visualizations,
    all from an easy-to-use interface that does not require understanding
    of complex programming or the Hadoop stack itself. With Kitenga
    Analytics and the Quest Toad®
    Business Intelligence Suite, an organization has a complete
    self-service analysis environment that empowers business and systems
    analysts across a variety of backgrounds and job roles.
  • Toad for Hadoop ? Quest Software expands support for Hadoop in
    the upcoming release of Toad® for Hadoop. With more than two million
    users, and ranked No. 1 in Database Development and Optimization for
    three consecutive years by IDC [1], Toad has been enhanced to help
    database developers and DBAs bridge the gap between what they already
    know about relational database management systems and the new world of
    Hadoop. Toad will provide query and data management functionality for
    Hadoop, as well as an interface to perform data transfers using the
    Quest Hadoop Connector. Like Toad for any other platform, Toad for
    Hadoop makes the lives of developers, DBAs, and analysts easier and
    more productive.
  • SharePlex with Hadoop Capabilities ? Quest Software adds Hadoop
    capabilities to the next release of SharePlex® for Oracle,
    its robust, high-performance Oracle-to-Oracle database replication
    technology. For enterprise mission-critical systems that must always
    be available, the new release will seamlessly create multiple copies
    of Oracle data for movement simultaneously to both another Oracle
    environment and Hadoop, with no downtime. Customers can choose how
    they optimize Oracle and Hadoop environments based on data
    requirements, such as high availability; analytics and reporting;
    image and text processing; and general archiving. The architecture
    allows for scalable data distribution on-premise, in the cloud, and
    across multiple data centers without a single point of failure.