Pg_parquet: An extension to connect Postgres and parquet

Crunchy Data has announced the release of pg_parquet, an open-source extension for PostgreSQL that facilitates the reading and writing of Parquet files directly from the database. This extension allows users to export tables or queries to Parquet files, ingest data from Parquet files into PostgreSQL, and inspect the schema and metadata of existing Parquet files. Parquet is a columnar file format known for its efficient data compression, making it suitable for analytics and data sharing between systems. The pg_parquet extension enhances PostgreSQL's capabilities by enabling seamless integration with Parquet without the need for additional data pipelines. Users can utilize the COPY command to transfer data between PostgreSQL and Parquet files stored locally or in cloud storage like S3. The extension also provides functionalities to describe Parquet schemas and retrieve detailed metadata, which can be beneficial for data management and analytics. With pg_parquet, PostgreSQL aims to expand its role beyond transactional workloads to become a robust solution for analytical tasks.

- pg_parquet is an open-source extension for PostgreSQL to work with Parquet files.

- It allows exporting and importing data between PostgreSQL and Parquet files.

- The extension supports cloud storage integration, particularly with S3.

- Users can inspect Parquet file schemas and metadata directly from PostgreSQL.

- pg_parquet enhances PostgreSQL's capabilities for both transactional and analytical workloads.