Q-Sensei, an award-winning multi-dimensional search company, has recently released a new version 2.0 of their Enterprise platform. The said platform serves as a base for different search applications for various structured and unstructured data – news feeds, office log files, and even social media content. Marketwire, in their article “Q-Sensei Enterprise v2.0 Unveiled to Rapidly Develop Tailored Search Applications for Big Data”, lists down the new features of the search platform.
The first main feature is ontology-based data processing. We learn from the writeup that with it:
. . . 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. This new processing approach also enables harmonization of semantics, components and functionality across business applications. It also improves the speed and efficiency of data process and indexing, increasing platform performance.
The new version also includes a new RESTful JSON API that makes it easier for Q-Sensei’s search technology to be integrated with other applications. And with a semi-automatic guided configuration, integration of new data sources (i.e. social media) is now much more flexible and efficient.
Because of its extremely fast data processing, Q-Sensei is billing Enterprise 2.0 as the next Big Data solution. And they just moved to their new New York office to get closer to their prospects. But lately, many have shown a keen interest in beefing up their search offerings. There’s HP who invested in Autonomy, IBM who purchased Vivisimo, and Oracle who acquired Endeca. In the open source side, there’s LucidWorks leading the pack with their reliable and cost-effective LucidWorks Search and LucidWorks Big Data tandem. It is a bit too early to tell whether Q-Sensei can make a name for itself with so many other active players.
Lauren Llamanzares, September 17, 2012