Teradata Aster Analytical Ecosystem

Easy Integration with Your Data Ecosystem

Teradata Aster MapReduce Platform is certified with the most popular business intelligence tools, packaged analytic applications, and ETL solutions. Aster Database Software-only Edition runs several commodity hardware reference architectures including Dell and HP, as well as on performance-optimized Teradata hardware in Aster MapReduce Appliance. Aster Database Cloud Edition runs on Amazon Web Services and other leading cloud vendors. Aster Database includes high performance connectors for Teradata data warehouses and Hadoop systems.

  • Aster-Teradata Adaptor is a high-performance bi-directional bridge to copy data between Teradata and the Aster Database. It takes advantage of parallel processing on both databases – data transfers take place on a node-to-node basis – for fast movement of large amounts of data.
  • Aster-Hadoop integration allows businesses to leverage Hadoop for data retention and preprocessing capabilities, while using Aster to perform data transformations, reporting, and rich data analytics. There are currently two ways to integrate Hadoop data with Teradata Aster - Aster SQL-HTM for ad-hoc SQL access and Aster-Hadoop Adaptor for massively-parallel bulk data movement.

Business Intelligence and Data Integration

  • Aqua Data Studio
  • IBM Cognos
  • Informatica
  • MicroStrategy
  • Oracle
  • Pentaho
  • SAP Business Objects
  • SAS
  • Tableau
SAS MicroStrategy SAP Business Objects
Tableau Pentaho IBM Cognos
Informatica Oracle Business Objects

Apache Hadoop

  • SQL-H and Aster-Hadoop integration allows businesses to leverage Hadoop for data collection and preparation and Aster Database for interactive analytics and processing




Cloud and Virtualization Infrastructure

  • Amazon Web Services
  • AppNexus
  • VMware
Amazon Web Services AppNexus VMware
Featured Resources
White Paper:
Harnessing the Value of Big Data Analytics
The Next Generation of Big Data Analytics
Tasso Argyros, Co-President, Teradata Aster, discusses a seamless way to bridge the Hadoop and SQL gap
Want to Learn More?
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