Postgres to Bigquery 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.
Google Bigquery is a cloud-based data warehouse that offers highly scalable and distributed SQL querying over large datasets. Using OLAP (Online Analytical Processing), Bigquery offers the ability to rapidly answer multi-dimensional analytic database queries with potentially large reporting views by breaking a query up between many worker nodes and reassembling the finalized answer.
Estuary helps move data from
Postgres to Bigquery 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 Bigquery using materializations that are also open-source. Connectors have the ability to keep warehouses as up-to-date as the warehouse can handle without incurring costs. This allowing Bigquery to receive data with under 10-second latency.