- According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads.
-
-
-
-
- Execution time of spatial join with polygons
-
-
+
+
High Speed
+
+
+ According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads.
+
+
+
+
+ Execution time of spatial join with polygons
+
+
-
-
-
-
Low Memory Consumption
-
-
- According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing.
-
-
-
-
- Peak memory consumption of spatial join with polygons
-
-
+
+
Low Memory Consumption
+
+
+ According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing.
+
+
+
+
+ Peak memory consumption of spatial join with polygons
+
+
-
-
-
-
Ease of Use
-
-
- Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.
-
-
-
SELECT superhero.name
+
+
Ease of Use
+
Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments.
+
SELECT superhero.name
FROM city, superhero
WHERE ST_Contains(city.geom, superhero.geom)
AND city.name = 'Gotham'
-
-
-
-
-
-
-
-
+
-
{% else %}
{{ super() }}
{% endif %}
diff --git a/docs/blog/index.md b/docs/blog/index.md
index 90a1400c6fe..76388f11585 100644
--- a/docs/blog/index.md
+++ b/docs/blog/index.md
@@ -2,7 +2,6 @@
hide:
- navigation
-
title: Blog
---
diff --git a/docs/index.md b/docs/index.md
index 2fce3bc01f5..5b654b46b78 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -1,7 +1,4 @@
-### 06/07/2025: Sedona 1.7.2 released. This is a bug fix only release and the last release on Java 8.
-
-### 03/15/2025: Sedona 1.7.1 released. It includes performance improvement for KNN join, SQL interface of GeoStats, STAC catalog reader, OSM PBF reader, and better GeoParquet file partitioning.
-
-### 12/02/2024: Sedona 1.7.0 released. It introduces a new join type named KNN Join, a new statistics module called GeoStats, DataFrame based readers for Shapefiles and GeoPackage, and many new ST functions.
-
-### 08/24/2024: Sedona 1.6.1 released. It adds a native DataFrame based GeoJSON reader and writer, 48 new ST functions, GeoParquet 1.1.0 covering column, and improves the error handling of ST functions.
+---
+hide:
+ - toc
+---
diff --git a/mkdocs.yml b/mkdocs.yml
index 68a06c9b1ef..c922370c538 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -49,7 +49,6 @@ nav:
- Install Sedona Scala/Java: setup/flink/install-scala.md
- Install with Snowflake:
- Install Sedona SQL: setup/snowflake/install.md
- - Release notes: setup/release-notes.md
- Compile the code: setup/compile.md
- Download: download.md
- Programming Guides:
@@ -135,6 +134,7 @@ nav:
- Aggregate Function (Snowflake): api/snowflake/vector-data/AggregateFunction.md
- Predicate (Snowflake): api/snowflake/vector-data/Predicate.md
- Blog: blog/index.md
+ - Changelog: setup/release-notes.md
- Community:
- Community: community/contact.md
- Contributor Guide: