Sinequa Connects With Box File Sharing

(Tatiana Shepeleva/Shutterstock)

Sinequa, the cognitive search and analytics specialist, is adding to its growing line up of “smart data” connectors, this one customized for the Box Inc. file sharing platform designed to allow users to search and extract data from content hosted on Box along with a user’s other internal applications and cloud services.

The partners said Tuesday (March 7) the agreement calls for leveraging New York-based Sinequa’s machine learning and natural language processing algorithms to search and analyze Box content repositories. The analytics platform also can be used to query other large structured and unstructured enterprise data sets.

As more of the partners’ customers shift their content to the cloud, including drug maker AstraZeneca—a customer of both companies—they are looking for new tools for connect platforms to ingest data in real time. Sinequa positions its data connector as an “auxiliary brain” that links Hadoop data sources stored on-premise or in the cloud.

AstraZeneca’s (NYSE: AZN) implementation of the Sinequa platform was noteworthy because it enabled drug researchers, scientists and managers at the $25 billion U.K. pharmaceutical company to query their resources and make connections that would otherwise be very difficult to obtain.

Box (NYSE: BOX), based in Redwood City, Calif., said the partnership with Sinequa would boost analytics capabilities for its customers who use its file sharing service to collaborate using sensitive company data.

Around this time last year Sinequa released a series of “plug and play” connectors for cloud and Hadoop environments. The smart connectors for Hadoop, particularly for the MapR Hadoop distribution, include HDFS, Hive and HBase.

The cloud connectors released last year targeted the growing amounts of data stored on public cloud platforms such as Amazon Web Services (NASDAQ: AMZN), Salesforce.com (NYSE: CRM) and Microsoft Office, including Exchange, Sharepoint and One Drive.

Sinequa also releases a batch of enterprise application connectors.

The company’s more than 150 smart connectors are intended to streamline access to data stored across different platforms while eliminate the “time lag usually incurred by custom connector development,” the company noted.

Recent items:

How Retailers Use Big Data to Gobble Up Sales

Here’s Another Option For Hadoop Enterprise Search