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Commonwealth Computer Research, Inc. Releases GeoMesa 1.2, the First Release as a Mature LocationTech Open-source Project
  • USA - English


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Commonwealth Computer Research, Inc

Feb 22, 2016, 14:35 ET

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GeoMesa allows you to store Big Spatial Data in the cloud.
GeoMesa allows you to store Big Spatial Data in the cloud.

Charlottesville, VA (PRWEB) February 22, 2016 -- Commonwealth Computer Research, Inc. (CCRI), a research, development, and analytics company based in Charlottesville, Virginia, today announced commercial support for the recently released version 1.2 of GeoMesa, the open source suite of geospatial analytics tools designed to run with Hadoop-scale volumes of data.

Obtaining LocationTech’s backing as a mature open-source project represents a major achievement and we are proud to be a part of this community.

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Along with several new features that add to GeoMesa's capabilities, this is the first version of GeoMesa to be released after a thorough review by the Eclipse Foundation's LocationTech Working Group. CCRi worked closely with LocationTech to ensure that GeoMesa’s source code and all of its dependencies conform to business-friendly software licenses and were compatible with GeoMesa’s Apache v2 License. Such a thorough review of the intellectual property gives businesses using the software assurance that they can confidently use it and build solutions based on GeoMesa.

According to CCRi Director of Business Development and Strategy, Jamie Conklin, "GeoMesa is a key part of a spatially-aware big data platform. It enables organizations to take full advantage of their spatio-temporal data with a completely open-source technology stack. Obtaining LocationTech’s backing as a mature open-source project represents a major achievement and we are proud to be a part of this community."

The GeoMesa suite of tools enables large-scale geospatial analytics on cloud and distributed computing systems, letting you manage and analyze the huge spatio-temporal datasets that IoT, social media, tracking, and mobile phone applications seek to take advantage of today. It does this by providing spatio-temporal data persistence on top of the Accumulo, HBase, Google Cloud Bigtable and Cassandra distributed column-oriented databases for massive storage of point, line, and polygon data. GeoMesa also provides support for near real time processing of spatio-temporal data streams by layering spatial semantics on top of the Apache Kafka messaging system.

Through a geographical information server such as the OpenGeo Suite’s GeoServer, GeoMesa facilitates integration with a wide range of existing mapping clients by enabling access to its databases and streaming capabilities over standard OGC (Open Geospatial Consortium) APIs and protocols such as WFS and WMS. These interfaces also let GeoMesa drive map user interfaces and serve up data for analytics such as queries, histograms, heat maps, and time series analyses.

Highlights of Release 1.2 of GeoMesa include:

  • Robust support for geospatial persistence and querying in Accumulo
  • Streaming geospatial filtering using Apache Kafka and other open-source streaming systems
  • Prototype support for HBase and Google Bigtable
  • Prototype Cassandra support
  • Geospatial BLOB store to index binary artifacts such as georeferenced photographs
  • A flexible and extensible library for rapidly integrating with many data formats in GeoMesa

For more information about GeoMesa, visit http://www.geomesa.org.

For over 20 years, CCRi has provided government and commercial customers with scalable, production-grade solutions to data-centric problems. They bring to bear the latest research in algorithms and data science, and render solutions in intuitive end-user software that their clients can apply immediately. CCRi’s team of systems engineers, data scientists, and software engineers applies decades of experience to each stage of data driven solution development—from basic research in data science to system implementation and support.

Born from the need to store and process vast quantities of spatial data on a cloud, CCRi developed GeoMesa to back its latest cloud-based analytics. CCRi has long leveraged the excellent tools provided by the open-source geospatial community and is excited to be contributing back with GeoMesa. CCRi is partnered with Boundless (http://boundlessgeo.com) to offer support, training, and professional services around GeoMesa and the OpenGeo Suite.

For more information about GeoMesa support and professional services, visit http://www.ccri.com or via email.

James Conklin, Commonwealth Computer Research, Inc, http://www.ccri.com, +1 434-214-4415, [email protected]

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