Category Archives: Unstructured data

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.

DataIQ Aims for Big Data Visualization Simplicity at Low Cost

Image representing StoredIQ as depicted in Cru...

StoredIQ today announced DataIQ, designed to give organizations a simple, low-cost, visualization solution to understand their unstructured data — without first moving it to a repository — to help answer data intelligence questions that challenge many of today’s IT organizations such as:

“Every company has more data than it can manage. But few can precisely locate it, assess the value of it, or make much sense out of it when they need to,” said Ted Friedman, vice president and distinguished analyst with Gartner. “Information management projects can be very intimidating. To set a course for success, organizations need to build insight regarding the whereabouts, meaning, and usage of their data.”

Designed to run on the StoredIQ Platform, DataIQ scales from terabytes to petabytes, from single corporate offices to global enterprises, and provides a single, holistic view across a multitude of enterprise data sources and hundreds of file types — without moving any data from its native location. With DataIQ, organizations have the power to make informed decisions before starting any information management initiative including: data migration, storage optimization, records management, eDiscovery, data clean up, and information governance. DataIQ gives companies the ability to:

  • Identify – interesting subsets of information without moving
    any data across the corporate network
  • Analyze – data using advanced visualizations to spot compliance
    violations, get out in front of the eDiscovery process, make
    infrastructure planning decisions, jump start records initiatives, etc.
  • Act – copy, collect, and move data that requires further
    processing or retention; defensibly delete data that provides negative
    value to the company

“As we worked with customers on information management initiatives from eDiscovery, information governance, storage, and records retention, one common theme bubbled up over and over…customers needed a simple tool to give them a comprehensive understanding of their unstructured data,” said Phil Myers, CEO of StoredIQ. “DataIQ was designed as a quick start data intelligence application that empowers customers with knowledge about their data to better plan and prepare for any information management project.”