Startup rethinks databases for the real-time geospatial era

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 Coy