News & Events

Composite Software Discovery Determined Highly Complementary to Business Intelligence and Data Integration Technologies.

Philip Howard of UK-Based Industry Analyst Firm, Bloor Research, Examined Discovery and Associated Industry Trends and Publishes Findings as an In-Detail Report and Webinar

San Mateo, Calif. - December 29, 2008 – Composite Software, Inc., the data virtualization leader, today announced that industry luminary Philip Howard of UK-based Bloor Research evaluated Composite Discovery, concluding it serves a genuine need not served by other technologies and is complementary to business intelligence (BI) and data integration (DI) technologies.  Howard’s findings are published as an In-Detail Report and excerpted in Pervasive BI and Information Discovery, an on-demand webinar that looks at the industry trends associated with discovery of data and data relationships.

“We are impressed with Composite Discovery: it serves a genuine need yet we know of no other vendor that offers such capability,” Howard concludes in his In-Detail Report executive summary.  “There is one supplier that provides search capability against indexes …; and …a couple of vendors that support the discovery of hidden relationships (across sources) from an IT perspective. However, Composite Discovery encompasses all of this functionality and more. In our view Composite Discovery provides excellent complementary capability both to business intelligence on the one hand and data quality and data governance on the other.”

Composite Discovery provides search capabilities against structured data that may be stored in multiple locations.  IT personnel use it to search for data and data relationships to support DI, data governance and other initiatives.

According to the In-Detail Report, Composite Discovery provides a means of indexing (and therefore searching) structured data that is stored in any number of heterogeneous data stores. However, Discovery goes beyond search to discover relationships that exist between different data elements and retrieve that related data by means of the search mechanisms provided.

In Bloor Research’s opinion, the following represent the key facts: