UK data warehousing and BI consultancy strengthens systems integration proposition with WisdomForce FastReaderTM – an ultra-high performance Oracle database extraction, migration, and load tool
LONDON, UK – 13th March, 2008 – Edge Associates (UK) Limited, the professional services business specialising in large scale data warehousing and business intelligence, today announced that it had signed an agreement with WisdomForce Inc., a Washington, US company to distribute, install, and support its FastReaderTM product in the UK.
FastReaderTM is an ultra-high performance Oracle database extraction and migration tool for use in heterogeneous database environments. It supports high-speed loading for all the major database platforms, including: Oracle, IBM DB2, Microsoft SQL Server, Sybase, MySQL, PostgreSQL, Teradata and Netezza. FastReaderTM also support most operating systems and hardware platforms.
FastReaderTM is more than twenty times faster than UTL_FILE or SQL*Plus spool for full table unload methods of data extraction. This translates into a huge reduction in latency from source system to data warehouse end-user. FastReader’sTM highly optimised, parallel processing architecture minimises the CPU load, a real benefit to database administrators managing highly stressed resources. It can be applied to data migration, propagation and archiving tasks, and when combined with its native ‘on-the-fly’ compression and extraction capability, delivers a significant reduction in network utilisation. FastReaderTM also offers a portable data extraction format that can be loaded to any target environment.
Andy Goldthorpe, Director at Edge Associates, said: “We’re delighted to have the opportunity to distribute this fantastic product in the UK. Our experience has shown that the extraction time is often the most significant delay in migration and propagation of data. Given the speed of this software, our aim is to accelerate our client’s business, delivering more value from data as quickly and efficiently as possible. FastReaderTM fits this model perfectly.”