sedona
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Published
20 hours ago •
apache
apache
A cluster computing framework for processing large-scale geospatial data
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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.
| Download statistics | Maven | PyPI | CRAN |
|---|---|---|---|
| Apache Sedona | 80k/month |   |
|
| Archived GeoSpark releases | 300k/month |   |
System architecture
Our users and code contributors are from ...
Modules in the source code
| Name | API | Introduction |
|---|---|---|
| Core | Scala/Java | Distributed Spatial Datasets and Query Operators |
| SQL | Spark RDD/DataFrame in Scala/Java/SQL | Geospatial data processing on Apache Spark |
| Flink | Flink DataStream/Table in Scala/Java/SQL | Geospatial data processing on Apache Flink |
| Viz | Spark RDD/DataFrame in Scala/Java/SQL | Geospatial data visualization on Apache Spark |
| Python | Spark RDD/DataFrame in Python | Python wrapper for Sedona |
| R | Spark RDD/DataFrame in R | R wrapper for Sedona |
| Zeppelin | Apache Zeppelin | Plugin for Apache Zeppelin 0.8.1+ |
Sedona supports several programming languages: Scala, Java, SQL, Python and R.
Compile the source code
Please refer to Sedona website
Contact
Feedback to improve Apache Sedona: Google Form
Twitter: Sedona@Twitter
Gitter chat: 
Sedona JIRA: Bugs, Pull Requests, and other similar issues
- [email protected]: project development, general questions or tutorials
Please visit Apache Sedona website for detailed information
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