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Q-Sensei Enterprise v2.0 Search Improves Big Data Support

qsensei_logo.png Q-Sensei Corp., a multi-dimensional search and indexing technology company, announced the release of Q-Sensei Enterprise v2.0 featuring ontology-based data processing and a new API.

Big on Enterprise Big Data

"With Q-Sensei Enterprise’s new ontology-based data processing, businesses can rapidly develop new, tailored search-based applications by using existing RDF and OWL resources such as database models, industry or domain-specific ontologies, process definitions and project configurations," the announcement says.

The new release also includes semi-automatic, guided configuration, which can help companies integrate data sources, including social media and data-intensive applications. And with its RESTful JSON API, Q-Sensei's multi-dimensional search technology can be integrated into other applications.

Enterprise Search Market

Last month at CeBIT in Hanover, Germany, Q-Sensei received the 2012 Innovationspreis-IT (IT Innovation Award) in the Knowledge Management category. The annual awards are presented by Initiative Mittelstand, and more than 2,500 tech companies applied in 40 categories.

Awards aside, Q-Sensei isn't well known in the United States. That might change now that the company has a Brooklyn office near NYU/Polytechnic University. When announcing the new office, Ute Rother, CEO of Q-Sensei, said:

Being in New York City brings us closer to the companies in need of advanced and efficient search solutions for a variety of internal and external data-heavy business functions – such as improving employee productivity in finding relevant information, increasing customer satisfaction or accelerating business innovation through correlated views of data."

At the end of 2011, Forrester assessed the enterprise search market, and Q-Sensei didn't make the list of 12 vendors in its market overview. Better known competitors such as Autonomy, which was acquired by HP, and Endeca, which was acquired by Oracle, made the cut.

Rother recently told BetaBeat that her company's strategy is to focus on partnerships to sell Q-Sensei's high speed data processing and search capabilities to integrate into their solutions or sell to their customers.

Is Q-Sensei's new office, strategy and updated product announcement enough to make it known among bigger enterprise search players backed by Oracle and HP? It's still too early to tell.

 
 
 
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