IBM InfoSphere Big Match for Hadoop

Feature spotlights

Matching algorithms

Uses statistical learning algorithms and a probabilistic matching engine running natively within Hadoop for fast and more accurate customer data matching.

Fast processing and deployment

Provides configurable prebuilt algorithms and templates to help you deploy in hours instead of spending weeks or months developing code. Uses distributed processing to accelerate matching of big data volumes.

API support

Provides support for Java and REST-based APIs, which can be used by third-party applications.

Searching and export capabilities

Provides search functions, as well as export (with entity ID) and extract capabilities to allow data to be consumed by downstream systems.

Apache Spark support

Provides Spark-based utilities and visualization to further enable analysis of results. Spark’s advanced analytics and data science capabilities include near real-time streaming via micro batch processing and graph computation analysis.