Even though systems such as Hadoop and Spark can grapple with large amounts of data, their tools for analyzing and parsing this information efficiently and in real-time are still limited. A two-year old Seattle startup called SpaceCurve will release on Tuesday a new database system aimed to speed the process of analyzing location-oriented data as it is being generated.

“We’re in a position to fuse spatial data that is very complex and difficult to work with,” said SpaceCurve CEO Dane Coyer. The software can “continuously ingest high-volume geospatial data” and allow users to query and monitor the information.

About 80 percent of data has some sort of geospatial component, IT analyst firm Gartner estimates. Yet few enterprise software tools are equipped to make the most of this data, Coyer said.

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