Aster Data Map Reduce vs InfoWorks comparison

SQL-MapReduce is a framework created by Teradata Aster to allow developers to write powerful and highly expressive SQL-MapReduce functions in languages such as Java, C#, Python, C++, and R and push them into the discovery platform for high performance analytics. Analysts can then invoke SQL-MapReduce functions using standard SQL or R through Aster Database, the first discovery platform that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets.

Infoworks is the only solution providing complete functionality in a single platform from data ingestion, data synchronization and the building of data models and cubes

Scale your data warehousing and analytics on Hadoop, not by adding armies of people but instead by using advanced machine intelligence

Infoworks is the complete Data Warehousing solution, eliminating the need to integrate multiple disparate point solutions. Infoworks helps organizations lower their EDW costs now and make business users even more successful.
Infoworks is the only solution providing complete functionality in a single platform from data Ingestion, data Synchronization and the building of data models and cubes. Infoworks achieves all this by automatically crawling and synchronizing data from all data sources, dynamically adapting to schema/data changes and automatically organizing the data sets for high performance query access.