Compare to Map-Reduce & Hadoop

Map-Reduce and Hadoop are distributed processing frameworks, not database systems. Advanced analytics and persistent data management go well beyond the capabilities of these frameworks.

Building an equivalent analytical database from the Hadoop ecosphere components requires extensive programming. Matching all the functionality delivered by Paradigm4 would require manually integrating the Hadoop file system HDFS, the Hadoop database HBase, PIG for distributed processing, HIVE for data warehousing, and a standalone analytics package like R or SAS.

Paradigm4 delivers a finished product that can be used by scientists, analysts, and researchers. Our analytical database merges all the functions needed for big analytics into an all-in-one, seamlessly integrated package.

Paradigm4 also delivers a lot of valuable extra functionality like N-dimensional partitioning, implicit indexing, updates, and provenance.