• Teradata® QueryGrid™

    Enable a Data Fabric With Seamless Multi-System Analytics for the Teradata Unified Data Architecture™

    Optimize, simplify, and orchestrate processing across workload specific processing engines   

    Read QueryGrid Use Cases
  • Teradata QueryGrid

    Integrated Processing

    Teradata QueryGrid™ lets your business work with a seamless data fabric across all of your data and analytical engines for no-hassle analytics. Users get the most value out of all your data by taking advantage of specialized processing engines operating as a cohesive analytic environment.

    By transparently harnessing the combined power of multiple analytic engines to address a business question, Teradata QueryGrid delivers the most comprehensive analytic solution to businesses.

    Read QueryGrid Use Cases from Nine Industries

    Seamless Self-Service for End-Users

    Teradata QueryGrid™ takes a unique approach to multi-system analytics by giving users a seamless, self-service experience in accessing all their data and analytics across systems through SQL. Users can continue using their existing SQL skills and tools, which enables a whole new class of analytics without retraining.

    Read QueryGrid Use Cases from Nine Industries

    Optimized Analytic Environment

    Teradata QueryGrid™ lets you automate and optimize use of your analytic systems through “push-down” processing across platforms.

    • Minimize data movement and process data where it resides
    • Minimize data duplication
    • Transparently automate analytic processing and data movement between systems
    • Enable easy bi-directional data movement

    Read QueryGrid Use Cases from Nine Industries

    Integrated Processing

    You can now get the most value from your analytic systems by integrating and leveraging their power without the administrative challenges. Teradata QueryGrid™ lets you leverage the analytic power and value of your Teradata Database, Teradata Aster Database, open-source Hadoop, Oracle Database, and powerful languages such as SAS, Perl, Python, Ruby, and R.

    Teradata Database’s Adaptive Optimizer ensures high performance query plans using data from other sources while special features when using systems within the Teradata Unified Data Architecture such as passing workload priorities makes the best use of available resources.

    Read QueryGrid Use Cases from Nine Industries
  • "Teradata pioneered integration with Hadoop and HCatalog with Aster SQL-H to empower customers to run advanced analytics directly on vast amounts of data stored in Hadoop."

    Ari Zilka

    CTO at Hortonworks


    A growing trend in the auto insurance business is the use of telematics in which a driver’s behavior is monitored directly and the information is transmitted to an insurance company. The company assesses the risk the driver poses and charges premiums accordingly. This massive collection of raw telematics data can be stored in Hadoop. An analyst can use the Aster Database to perform a path analysis on the telematics data to determine which driving behaviors are most likely to lead to an accident, such as frequent hard breaking followed by sudden lane changes.  Once identified, those patterns can be loaded into the Teradata Database for analysis.  The analyst can then write a query to the Teradata Database that moves a filtered set of telematics data from Hadoop into the data warehouse for analysis against the patterns to identify drivers with the highest risk. The risk information is cross-referenced with customer data in the warehouse to determine whether a driver is a high- or low-value customer, and the analyst can then make recommendations on insurance premium adjustments.


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