Deletes come from the log
Row changes read from the binary log, so removals arrive as events rather than guesses.
Replicate MySQL into a BigQuery data warehouse with Polytomic using binary log change capture. Reporting queries move off the server running your product, and ETL carries inserts, updates and deletes without any staging storage to manage.
Row changes read from the binary log, so removals arrive as events rather than guesses.
Keyed tables merge in place. Tables without a key are replaced or truncated instead.
The first run reads tables in full, then changes come from the saved log position.
Polytomic is bi-directional by default, so you can move data the other way just as easily.
BigQuery to MySQL
Jonathan Krangel
VP Global Head of Revenue Operations
“Polytomic handles so many ETL and sync jobs at Cursor. They are a true partner to us.”
Follow these simple steps to connect MySQL with BigQuery in minutes
Connect MySQL
Connect BigQuery
Create sync
Enable sync
Connect MySQL to Polytomic with host, port, database, and credentials.
Connect BigQuery to Polytomic with a service account key, optionally scoping project and location.
Sync data in either direction between MySQL and BigQuery. Choose the source data and destination objects for the direction you need.
Map the fields, choose the sync schedule and behavior, then save and enable the sync.
Get answers to common questions about the integration process
Sync data in either direction between MySQL and BigQuery.
Use both integrations' source and destination capabilities in one managed sync workflow.
Enterprise encryption and security protocols ensure your data remains protected.
Get up and running in minutes with our step-by-step integration guide.