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Apache Iceberg now supports geospatial data types natively
With native geospatial data type support in Apache Iceberg and Parquet, you can seamlessly connect engines like Wherobots, PostGIS, Apache Sedona, Databricks, Snowflake, and BigQuery to the same Iceberg table storage, while leveraging the cost and performance benefits of querying Parquet data.These changes will enable better short and long term economics for geospatial solutions, make existing solutions lower cost and new ones accessible, and most importantly, bring much needed innovation into our physical world. New solutions will flourish because these formats give organizations a new freedom to innovate; you get to choose the best tool for the job over time without having to shuttle data between systems, your costs go down, innovation accelerates, and it levels the playing field with respect to who can provide the best solution for your data.
The benefits of these cloud-native open file and table formats fueled widespread adoption of data lake and lakehouse architectures. Organizations moved away from the use of expensive proprietary systems, away from data siloes that coupled compute with storage and didn’t scale, and away from formats that locked them in and stifled innovation. Their costs reduce, productivity improves, innovation accelerates, and the playing field is leveled with respect to who can provide the best solution for their data.
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