Reverse ETL: BigQuery exports to AlloyDB
Bridging the gap between analytical systems (OLAP) and transactional databases (OLTP) is notoriously complex. Synchronizing data between the two systems, often called Reverse ETL (Extract, Transform, Load), traditionally requires heavy middleware, staging buckets, and complex orchestration, especially at enterprise scale.
We’re announcing the general availability (GA) of BigQuery exports to AlloyDB, allowing data engineering teams to use a single, declarative SQL statement to export data from BigQuery to AlloyDB. This approach completely removes the need for complex ETL middleware.
To demonstrate the benefits of this feature, we are sharing how Copel, a Brazilian electric power provider, eliminated a massive orchestration bottleneck and scaled their smart meter telemetry by migrating to high-performance, built-in Reverse ETL.
The challenge of scaling smart meter telemetry
At Copel, managing telemetry data from millions of smart electricity meters is a mission-critical operation. This data is streamed continuously and consolidated in an analytical Gold layer...
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