Store, index, query, and transform spatio-temporal data at scale
in HBase, Accumulo, Cassandra, Kafka and Spark
GeoMesa is an open source suite of tools that enables large-scale geospatial querying and analytics on distributed computing systems. GeoMesa provides spatio-temporal indexing on top of the Accumulo, HBase, Google Bigtable and Cassandra databases for massive storage of point, line, and polygon data. GeoMesa also provides near real time stream processing of spatio-temporal data by layering spatial semantics on top of Apache Kafka. Through GeoServer, GeoMesa facilitates integration with a wide range of existing mapping clients over standard OGC (Open Geospatial Consortium) APIs and protocols such as WFS and WMS. GeoMesa supports Apache Spark for custom distributed geospatial analytics.
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- GeoMesa 2.3.1 is now available! See the release notes for more information.
- The GeoMesa team gave several talks at FOSS4G 2017 in Boston, Massachusetts. Tom Kunicki presented on using GeoMesa with PySpark in Jupyter notebooks. Jim Hughes discussed the state of JTS (the Java Topology Suite). Chris Eichelberger talked about spatio-temporal indexing strategies.
- GeoMesa was featured in several articles, GeoMesa tames big data for GIS in the cloud in the Government Computer News and Open Source Big Spatial Data with GeoMesa in GIS Lounge.
- CCRi partners with Google for a GeoMesa powered by Google Cloud Bigtable.
The GeoMesa project welcomes contributions from anyone interested.
Bugs and Support
For bug reports, additional support, and other issues, send an email to the GeoMesa listserv.
Professional support is offered by CCRi.