The introduction of GeoParquet aims to standardize the storage of geospatial vector data in Parquet, a popular columnar storage format, with the goal of enabling interoperability between different cloud data warehouses and computing engines when using geospatial data. This initiative seeks to unlock spatial analytics for the growing enterprise software segment, which is driving a huge influx of new users to the analytics field. GeoParquet builds upon Parquet's advantages, such as its column-based format, which works well with denormalized datasets and enables efficient querying. By defining a common way to encode and describe spatial data, GeoParquet aims to address interoperability problems, making it easier to create and share geospatial data, and ultimately realizing the vision of a cloud-native data lake architecture without data copy. The initiative has received support from major clouds and products in the ecosystem, and is being discussed at the Open Geospatial Consortium, with CARTO joining as a sponsor and contributor to facilitate interoperability within the spatial analytics ecosystem.