Zoomdata hopes to set itself apart in other ways, though. It has developed technology it calls a "micro-query engine" that breaks requests into tiny queries so that it can start delivering results in under a second. It displays essentially an estimated result that sharpens as the user views it. The idea is to give a user results immediately, rather than requiring them to wait minutes for a query that might have to process mounds of data.
Zoomdata also offers a neat feature that could come in handy for embedded visualizations. It allows users to replay a visualization, showing how results change over time. The feature could be useful for a user who might want to, for example, embed a graph showing a stock's performance into a blog post. Users could see the graph as it looked when the post was written but then slide a timeline bar to view how the stock has performed since that time.
Zoomdata didn't reveal pricing but said it charges for its server software based on number of cores. The price doesn't change based on users, number of data sources, or data volume, the company said.
Langseth plans to use the new investment to try to grow the business. Zoomdata currently has 20 paying enterprise customers. It plans to grow its sales team from one to 10 and hire a marketing team, in addition to adding new engineers.
The investment round was led by Accel Partners, with NEA, Columbus Nova Technology Partners, Razor's Edge Ventures, and B7 also participating.
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