
breakthrough scalabilityThe expressor semantic data integration system provides breakthrough scalability so customers can achieve ultimate data integration performance in batch or real-time. It is designed and optimized to run on heterogeneous platforms without compromise and delivers resource efficiency to provide breakthrough scalability. It does not expose technology metadata to implementers, and it provides a simple interface for dealing with complex data structures. It connects to a wide range of external data sources including all major RDBMS platforms, SAS applications, messaging queues, ODBC data sources, ftp servers, flat files, COBOL copybooks, xml files, and SAP IDoc through motors that are configured during the project creation process.
The expressor processor is an optimized, parallel processing engine with a small footprint that dramatically outperforms alternative data integration platforms. With expressor, a channel is an individual stream of data between tool objects or between an external data source, which is called an expressor motor. Channels are used by expressor processor to specify where data is located and to establish parallelism; when processing in parallel there are multiple channels connecting instances of tool processes. It "natively" processes all types and classes of data including complex and hierarchical data types and supports a wide range of structured and semi-structured data — and it is the fastest data processing engine on the market. It is optimized for parallel processing on a single host computer and designed to enable processing of data across a heterogeneous environment including Windows and Linux computers. Applications can be moved between environments without changes, and expressor processor supports batch and low-latency operations, processing terabytes of data per hour on a single machine. Throughput can be further enhanced by increasing the number of channels executing each operation of the process. Learn more about how expressor supports smart semantics and total lifecycle management. |
