Page Comparison

GeoMesa 1.3.2 is the second bugfix release in the GeoMesa 1.3 line and includes over 180 fixes and improvements since the 1.3.1 release!

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HBase coprocessor improvements
- Distributed processing for filter evaluation, transforms and aggregations
Lambda DataStore
- A hybrid store using Kafka and Accumulo to enable high-frequency updates to existing features combined with long-term persistence
Spatio-temporal indexing and storage of data in S3, HDFS, NFS, Google Cloud Storage, or other distributed file systems
- Store your data in space-time partitioned folder hierarchies in a distributed file system for cost-effective and efficient analytics
Parquet integration
- GeoMesa 1.3.2 adds support for persisting data in the widely used Parquet data format
- Provides efficient OLAP when used in conjunction with the Spark SQL query engine
Apache Arrow integration
- GeoMesa can export and query data in the Apache Arrow data format - an in-memory column-oriented layout that supports efficient analytic access patterns

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Community projects (https://github.com/geomesa)

GeoMesa-Tutorials (https://github.com/geomesa/geomesa-tutorials)
1. Tutorials for using GeoMesa with C*, Python, and the Lambda DS.
GeoMesa-NiFi (https://github.com/geomesa/geomesa-nifi)
1. Configuration options to permit use with Accumulo Kerberos clusters
2. Improvements to Batch handling and converter ingest error handling
3. Additional fixes around classpath handling and UI configuration.
GeoMesa-GeoServer (https://github.com/geomesa/geomesa-geoserver)
1. Open-sourced project!
2. Includes GeoServer output formats for GeoMesa Avro and Arrow file formats
3. Includes jar to add Accumulo visibilities to the KafkaDataStore.
GeoMesa-GeoDocker (https://github.com/geodocker/geodocker-geomesa)
1. Updated to GeoMesa 1.3.2
2. Released new artifacts on quay.io (https://quay.io/organization/geomesa)
3. Documentation here: ???

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