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big data

SpaceCurve — a startup that lives to suss out massive amounts of location, social, sensor, and timeline data — has just raised $10 million.

This round, led by Triage Ventures, is the company’s second institutional round of funding. Since it was founded, the startup has taken a total of $17.3 million, including a $3.5 million Series A last summer.

In the company’s own words, “SpaceCurve’s geospatial-temporal database and graph-analysis tools effortlessly handle the scale and complexity of geospatial, temporal, sensor network, social graph, and other large data to create real-time models and immediately actionable intelligence.”

Translated, that means this startup is trying to organize and make useful just about every kind of data imaginable. Customers who use the SpaceCurve platform are, in the words of a Triage Ventures partner, “pushing the current limits of ‘big data’ technologies” by analyzing not only large volumes of data but also data that appears at high velocities — stuff like check-ins and sensor data that are constantly being updated by nodes all around the globe.

For example, SpaceCurve announced in February that it had set a record for real-time big data performance by crunching location-aware tweet records, which average 2,500 bytes in size, at a rate equal to millions of records per second, hundreds of billions of records per day, and petabytes of data per day.

Customers and potential customers, the startup says, are in industries such as mobile, social media, financial trading, energy, communications, transportation, government, and similarly big-scale markets.

The Seattle-based company was founded in 2009 by J. Andrew Rogers, who has previous experience in dealing with big data from time spent on Google Maps and the U.K.’s Meteorological Office. The team includes former employees of IBM and Microsoft.

Image credit: Shutterstock


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