Making Overture Maps Data More Efficient With GeoParquet And Apache Sedona - Wherobots

The latest release of Overture Maps data is now published in GeoParquet format, allowing for more efficient spatial operations when selecting subsets of the dataset and enabling interoperability with a growing ecosystem of data tooling that supports the cloud-native GeoParquet format. In this post we explore some of the motivations and advantages of publishing the […]

The latest release of Overture Maps data is now published in GeoParquet format, allowing for more efficient spatial operations when selecting subsets of the dataset and enabling interoperability with a growing ecosystem of data tooling that supports the cloud-native GeoParquet format. In this post we explore some of the motivations and advantages of publishing the Overture Maps data as GeoParquet as well as the process used by Overture to generate and publish a large scale geospatial dataset as GeoParquet using Apache Sedona.

Built upon Apache Parquet, GeoParquet is an open-source file format specifically designed for storing geospatial data efficiently. Apache Parquet is a column-oriented data file format optimized for storing data efficiently in cloud data object stores like Amazon’s S3 service. However Parquet lacks native support for geospatial data. GeoParquet extends Parquet by defining a standard for storing geometry data and associated metadata, such as the spatial bounding box and coordinate reference system for each file.

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