Postgres to Parquet in minutes
PostgreSQL is one of the most powerful open source relational databases in the world. It’s developed a broad community in its 30-plus year history.
It features ACID transactions and is designed to handle a range of workloads from single machines to distributed architectures with replication.
Apache Parquet is an open-source, column-oriented data storage format of the Hadoop ecosystem designed to provide fast querying on large datasets. Parquet is routinely used for creating very highly scaled data lakes that can still be queried. Parquet is similar to other column-storage file formats that are available in Hadoop.
Estuary helps move data from
Postgres to Parquet in minutes with millisecond latency.
Estuary builds free, open-source connectors to extract data from Postgres in real-time, allowing you to enable a copy of your data wherever you want.
Data can then be directed to Parquet using materializations that are also open-source. Connectors have the ability to push data as quicikly as a destination will handle. Parquet likes files that are around 1 GB each. So, if you have high data volumes, Flow can keep your data lake up-to-date in near real-time.