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**PgSTAC**is a set of SQL function and schema to build highly performant database for Spatio-Temporal Asset Catalog ([STAC](https://stacspec.org)). The project also provide **pypgstac**python module to help with the database migration and documents ingestion (collections and items).
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**PgSTAC**is a set of SQL functions and schema to build highly performant databases for Spatio-Temporal Asset Catalogs ([STAC](https://stacspec.org/)). The project also provides **pypgstac**(a Python module) to help with database migrations and document ingestion (collections and items).
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PgSTAC provides functionality for STAC Filters and CQL2 search along with utilities to help manage indexing and partitioning of STAC Collections and Items.
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PgSTAC provides functionality for STAC Filters, CQL2 search, and utilities to help manage the indexing and partitioning of STAC Collections and Items.
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PgSTAC is used in production to scale to hundreds of millions of STAC items. PgSTAC implements core data models and functions to provide a STAC API from a PostgreSQL database. As PgSTAC is fully within the database, it does not provide an HTTP facing API. The [Stac FastAPI](https://github.com/stac-utils/stac-fastapi) PgSTAC backend and [Franklin](https://github.com/azavea/franklin) can be used to expose a PgSTAC catalog. It is also possible to integrate PgSTAC with any other language that has PostgreSQL drivers.
PgSTAC is used in production to scale to hundreds of millions of STAC items. PgSTAC implements core data models and functions to provide a STAC API from a PostgreSQL database. PgSTAC is entirely within the database and does not provide an HTTP-facing API. The [Stac FastAPI](https://github.com/stac-utils/stac-fastapi) PgSTAC backend and [Franklin](https://github.com/azavea/franklin) can be used to expose a PgSTAC catalog. Integrating PgSTAC with any other language with PostgreSQL drivers is also possible.
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