Derrick Harris of GigaOM reports, "DataRPM, a Fairfax, Va.-based startup that has built a business intelligence product based on search engine technology, has raised a $5.1 million Series A round of venture capital. InterWest Partners led the round, which follows up on a $250,000 seed round the company raised in April. As we explained in a July post about an 'askathon' (essentially, a business intelligence hackathon) the company was hosting, DataRPM is based on search technologies and tries to deliver a search-like experience. Data is indexed rather than modeled, and users perform queries in a search bar using natural language."
Harris continues, "The latter feature — natural language queries — is fast becoming a point of distinction among the new breed of startups looking to out-simplify the likes of Tableau. We recently covered another effort in this vein (although one selling its product via appliance rather than the cloud, like DataRPM does) called ThoughtSpot. The stealthy Upshot Data, which won the hackathon at Salesforce.com’s Dreamforce event in November, is based on natural language queries, as well."
Image: Courtesy DataRPM