A cluster computing framework for processing large-scale geospatial data

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  1. f81ddcb [DOCS] Update the release vote process by Jia Yu · 4 days ago master
  2. bcb1803 [DOCS] Release notes for Sedona 1.2.1 by Jia Yu · 5 days ago
  3. efb7960 [maven-release-plugin] prepare for next development iteration by kanchanchy · 5 days ago
  4. 67538d2 [maven-release-plugin] prepare release sedona-1.2.1-incubating-rc1 by kanchanchy · 5 days ago sedona-1.2.1-incubating-rc1
  5. 4623e5d Revert "[maven-release-plugin] prepare release sedona-1.2.1-incubating-rc1" by kanchanchy · 5 days ago

Scala and Java build Python build R build Example project build Docs build

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Apache Sedona™(incubating) is a cluster computing system for processing large-scale spatial data. Sedona equips cluster computing systems such as Apache Spark and Apache Flink with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines.

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Apache Sedona80k/monthDownloads Downloads
Archived GeoSpark releases300k/monthDownloadsDownloads

System architecture

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Modules in the source code

CoreScala/JavaDistributed Spatial Datasets and Query Operators
SQLSpark RDD/DataFrame in Scala/Java/SQLGeospatial data processing on Apache Spark
FlinkFlink DataStream/Table in Scala/Java/SQLGeospatial data processing on Apache Flink
VizSpark RDD/DataFrame in Scala/Java/SQLGeospatial data visualization on Apache Spark
PythonSpark RDD/DataFrame in PythonPython wrapper for Sedona
RSpark RDD/DataFrame in RR wrapper for Sedona
ZeppelinApache ZeppelinPlugin for Apache Zeppelin 0.8.1+

Sedona supports several programming languages: Scala, Java, SQL, Python and R.

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Please refer to Sedona website


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