kadolor commented on code in PR #2361: URL: https://github.com/apache/sedona/pull/2361#discussion_r2373454744
########## docs/blog/posts/intro-sedonadb.md: ########## @@ -0,0 +1,395 @@ +--- +date: + created: 2025-09-24 +links: + - Apache Sedona Discord: https://discord.com/invite/9A3k5dEBsY +authors: + - matt_powers +title: "Introducing SedonaDB: A spatial-first query engine" +--- + +<!-- +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +--> + +The Apache Sedona community is excited to announce the initial release of SedonaDB. + +SedonaDB is the first open-source, single-node analytical database engine that treats spatial data as a first-class citizen. + +Written in Rust, it’s lightweight, blazing fast, and spatial-native. Out of the box, it provides: \ + +* Full support for spatial types, joins, CRS (coordinate reference systems), and functions on top of industry-standard query operations. +* Query optimizations, indexing, and data pruning features under the hood that make spatial operations just work with high performance. +* Pythonic and SQL interfaces familiar to developers, plus APIs for R and Rust. +* Flexibility to run in single-machine environments on local files or data lakes. + +SedonaDB utilizes Apache Arrow and Apache DataFusion, providing everything you need from a modern, vectorized query engine. However, it also delivers the unique ability to run high-performance spatial workloads easily, without requiring extensions. It's for builders who need a spatial-first query engine. Review Comment: ```suggestion <!-- more --> SedonaDB utilizes Apache Arrow and Apache DataFusion, providing everything you need from a modern, vectorized query engine. However, it also delivers the unique ability to run high-performance spatial workloads easily, without requiring extensions. It's for builders who need a spatial-first query engine. ``` ########## docs/blog/posts/intro-sedonadb.md: ########## @@ -0,0 +1,395 @@ +--- +date: + created: 2025-09-24 +links: + - Apache Sedona Discord: https://discord.com/invite/9A3k5dEBsY +authors: + - matt_powers +title: "Introducing SedonaDB: A spatial-first query engine" +--- + +<!-- +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +--> + +The Apache Sedona community is excited to announce the initial release of SedonaDB. + +SedonaDB is the first open-source, single-node analytical database engine that treats spatial data as a first-class citizen. + +Written in Rust, it’s lightweight, blazing fast, and spatial-native. Out of the box, it provides: \ + +* Full support for spatial types, joins, CRS (coordinate reference systems), and functions on top of industry-standard query operations. +* Query optimizations, indexing, and data pruning features under the hood that make spatial operations just work with high performance. +* Pythonic and SQL interfaces familiar to developers, plus APIs for R and Rust. +* Flexibility to run in single-machine environments on local files or data lakes. + +SedonaDB utilizes Apache Arrow and Apache DataFusion, providing everything you need from a modern, vectorized query engine. However, it also delivers the unique ability to run high-performance spatial workloads easily, without requiring extensions. It's for builders who need a spatial-first query engine. Review Comment: ```suggestion <!-- more --> SedonaDB utilizes Apache Arrow and Apache DataFusion, providing everything you need from a modern, vectorized query engine. However, it also delivers the unique ability to run high-performance spatial workloads easily, without requiring extensions. It's for builders who need a spatial-first query engine. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
