Amazon Aurora MySQL to Bigquery in minutes
Amazon Aurora MySQL is a fully managed, MySQL-compatible, relational database engine that combines the speed and reliability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Aurora MySQL is a drop-in replacement for MySQL and makes it simple and cost-effective to set up, operate, and scale your new and existing MySQL deployments, thus freeing you to focus on your business and applications. Amazon RDS provides administration for Aurora by handling routine database tasks such as provisioning, patching, backup, recovery, failure detection, and repair. Amazon RDS also provides push-button migration tools to convert your existing Amazon RDS for MySQL applications to Aurora MySQ
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 MySQL 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.