One of the paradoxes IT organizations often face is that it is much easier for end users to invoke search engines to find external data than it is to find anything stored within the confines of the enterprise. To tackle this problem, ThoughtSpot has developed a relational search appliance to combine a search engine with data caching software running in memory to make it simpler to discover relevant data inside the enterprise.
ThoughtSpot CEO Ajeet Singh says the ThoughtSpot Relational Search Engine was designed to run on premise and it makes use of ODBC drivers to pull data from internal and external sources into a central repository. Included with that appliance is ThoughtSpot Cluster Management software, which makes it possible to manage the appliance.
In addition, Singh says ThoughtSpot has developed a set of governance tools through which IT organizations can manage who is allowed to access data based on their role in the organization.
Singh says traditional business intelligence tools have let end users down because they confine searches to the finite amount of data in a canned report. After raising another $30 million in funding earlier this year, the ThoughSpot Relational Appliance, says Singh, allows IT organizations to pull indexed and cached data together from multiple sources, which then becomes instantly available to end users via a standard browser interface.
End users have been frustrated with BI tools for years, but the alternatives accessible to them have been fairly limited. By creating a relational search appliance, ThoughtSpot has created a platform through which not only the amount of data that can be accessed is greatly expanded, but the ability to determine the relationship between that data is maintained. For IT organizations, that addresses a major headache that has long plagued them, and it shows end users that internal IT organizations can provide them with a consumer-like search engine experience for discovering data both inside and out of the enterprise.