SpaceBase

Features:

• APIs for Java, C++, Erlang, Python, Ruby and Node.js
• Stores 2D and 3D spatial objects with or without extents
• In-depth performance monitoring via JMX
• Handles several millions of dynamic spatial entities on one server-class machines
  (i.e. either geometric points or objects with an area or volume)

Fast pre-built and user-made spatial queries

Pre-built queries include range queries (return all objects contained in a given region of space) and intersection queries (return all object intersecting a given region of space.

Fast join-queries

Join queries return pairs of objects that satisfy a certain condition. For example, return all pairs of objects that intersect one another, or return all pairs of objects that are within a given distance from one another.

Spatial processing parallelization

Transactions executing on groups of objects at close proximity are executed atomically, while transactions operating on different object-groups that are spatially separated are parallelized with virtually zero interference with one another. All of the application-logic handling spatial objects can be run through SpaceBase and thus parallelized by it.

Load balancing

SpaceBase can distribute its objects among different servers for efficient load-balancing. Objects that are in relative close spatial proximity will usually be kept on the same server, but SpaceBase distributes the objects in such a way that each server would hold a similar number of objects. That is, a small region of space with a very high-density of objects would be distributed across several servers, while a large region with few objects would be kept on a single server, thus ensuring a reasonable work-sharing among servers.

Geodesic library

A high-performance and high-precision geodesic library is included with SpaceBase. It can be used to compute distances and bearing between geographic points, as well as destination point given a starting point, a bearing and a distance.