Amazon Aurora PostgreSQL to Bigquery in minutes
Amazon Aurora PostgreSQL is a fully managed, PostgreSQL–compatible, and ACID–compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases. Aurora PostgreSQL is a drop-in replacement for PostgreSQL and makes it simple and cost-effective to set up, operate, and scale your new and existing PostgreSQL deployments, thus freeing you to focus on your business and applications. To learn more about Aurora in general, see What is Amazon Aurora?.
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
Amazon Aurora PostgreSQL to Bigquery in minutes with millisecond latency.
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.