Next generation business intelligence is the name of the game for Looker, a Santa Cruz, CA-based startup that offers a browser-based development environment for data scientists. The platform is built around LookML, a proprietary language that lets analysts recycle queries, manipulate metrics on the fly and extract insights from terabyte-scale databases.

Looker announced this week that it has raised $16 million in Series A funding from Redpoint Ventures. First Round Capital, which invested in the company’s $1.7 million seed round, chipped in as well. The startup says that it will use the capital to expand its customer base, which has doubled to 40 since it exited stealth in March this year.

“We’re Business Intelligence for the under-40 crowd, and the response to our product really shows that we’ve found a substantially underserved market that was ripe for innovation.” said Frank Bien, the chief executive officer of Looker. “No one has attacked the core of BI in the last ten years. We tore it down and rebuilt it from the ground up, wrote our own language, architected a web-based infrastructure, and delivered a product that’s incredibly powerful. The Looker platform provides a modern leverage point for data analysts to service their business user populations effectively and efficiently.”

Looker is the second Big Data startup that raised funding this week. The other is CloudPhysics, which offers a data-driven operations tool for virtualized environments. The company’s solution is built atop a continuously updated pool of anonymous configuration, performance, failure and event data that contains over 20 trillion samples from more than 500 enterprises.

CloudPhysics received $10 million in a Series B financing round led by Kleiner Perkins Caufield & Byers. The money will be invested in marketing and R&D.