The market currently has many Big Data aspirants, some of which are big names like Oracle and IBM, while some are start-ups. Included in the latter group is Q-Sensei, whose flagship product “Q-Sensei Enterprise v2.0 Search Improves Big Data Support”. The writeup names the new key features of the latest version:
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 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.
Q-Sensei’s Enterprise v2.0′s multi-dimensional search technology has the ability to process large amounts of data and automatically find correlations between them. Users are presented with filters based on their initial query which will help them find what they’re looking for among heaps and heaps of data even if they don’t have the correct keyword in the first place.
But other bigger players have already captured a huge chunk of the market. A good example is enterprise search industry leader LucidWorks, which has already earned the trust of big and small businesses alike with their highly scalable, powerful, and cost-effective search application development solutions. These solutions were designed to take on Big Data by allowing users to easily create their own search applications either on-premises or in the Cloud. So will Q-Sensei persist in the Big Data wars? It is too early to tell.
Lauren Llamanzares, September 18, 2012