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GeoMesa is an open-source, distributed, spatio-temporal index built on top of Bigtable-style databases using an implementation of the Geohash algorithm.[2]
| Developer(s) | LocationTech, CCRi |
|---|---|
| Stable release | 5.1.0[1] 
/ 11 October 2024 |
| Repository | |
| Written in | Scala |
| Operating system | Linux |
| Type | Spatiotemporal database |
| License | Apache License 2.0 |
| Website | www |
Description
editWritten in Scala, GeoMesa is capable of ingesting, indexing, and querying billions of geometry features using a highly parallelized index scheme. GeoMesa builds on top of open source geo (OSG) libraries. It implements the GeoTools DataStore interface providing standardized access to feature collections as well as implementing a GeoServer plugin.
Google announced that GeoMesa supported the Google Cloud Bigtable[3] hosted NoSQL service in their release blog post in May 2015. GeoMesa also supports Bigtable-derivative implementations Apache Accumulo and Apache HBase.[4] GeoMesa implements a Z-order curve via a custom Geohash implementation to combine three dimensions of geometry and time (i.e. latitude/longitude/timestamp) into a single-dimension lexicographic key space provided by Accumulo.[5]
References
edit- ^ "Release 5.1.0". 11 October 2024. Retrieved 21 October 2024.
- ^ Fox, Anthony; Eichelberger, Chris; Hughes, James; Lyon, Skylar (2013). Spatio-temporal Indexing in Non-relational Distributed Databases (PDF). IEEE BigData 2013.
- ^ O’Connor, Cory (2015-05-06). "Google Cloud Platform Blog: Announcing Google Bigtable". Retrieved 2015-05-06.
- ^ "CCRi web site". Commonwealth Computer Research, Inc. Retrieved September 24, 2016.
- ^ "Geohash Ranges". GeoMesa. Commonwealth Computer Research, Inc. 2016. Retrieved 2017-01-10.