SAN CARLOS, Calif. — July 6, 2011 — MarkLogic has officially received the U.S. Government’s stamp of approval. MarkLogic Corporation, the company revolutionizing the way organizations leverage Big Data, today announced that the MarkLogic Distributed Common Ground System (DCGS) Integration Backbone (DIB) Metadata Catalog v2 is conformant with the DIB 2.0 service specifications. Successful completion of conformance testing means that MarkLogic is a suitable alternative to the current relational database management system (RDBMS) DCGS implementation.
Conformance with DIB v2.0 service specifications, including ingest, query, event, and event subscriptions, means that MarkLogic is an official approved alternative to the DIB v2.0 Metadata Catalog (MDC) and Metadata Framework (MDF). The MarkLogic DIB Metadata Catalog was built and tested to federate with any other existing DIBs. This drives information sharing to warfighters and reduces risk across the intelligence, surveillance, and reconnaissance (ISR) community via world class MarkLogic Federation.
The Conformance test was conducted under the auspices of the DCGS Multi-Service Execution Team (MET) Office (DMO) at Hanscom AFB, Mass. Conformance testing is the process of assessing the compliance of a product to the defining of specifications or standards. The successful completion of conformance testing significantly enhances interoperability and information sharing across the DCGS and DI2E communities.
“Now that MarkLogic has officially received the conformant label, a whole new area of opportunity within government opens up,” said Randall Jackson, vice president of public sector, MarkLogic. “Compared to legacy relational databases, MarkLogic provides advances in performance, scalability, and functionality, while requiring less hardware and reducing maintenance and operations costs. This means the U.S. government has the right tool in place to leverage Big Data and unstructured information with lower total cost of ownership and simplified licensing.”
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.