MySQL + BigQuery
MySQL is an open-source relational database management system widely used to store, organize, and retrieve data in web and enterprise applications. BigQuery, on the other hand, is a serverless Big Data solution developed by Google that provides robust large-scale data storage and analytics capabilities.
With Erathos, you can integrate data from MySQL into BigQuery in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you combine data with other sources in your Data Warehouse. That way, your time is focused on what truly creates value—extracting actionable insights and making more data-driven decisions.
Which MySQL data does Erathos sync with BigQuery?
The integration automatically syncs the main MySQL objects:
Selected tables — incremental replication of any configured table
Schema drift — new columns detected and automatically added to the destination
Primary keys and timestamps — used for efficient incremental sync
Historical data — full initial load followed by incremental updates
Why sync MySQL with BigQuery?
Keeping an analytical copy of MySQL operational data in BigQuery lets heavy queries run without impacting production application performance. With incremental replication and schema drift detection, your data warehouse stays up to date while the transactional database remains stable and responsive.
How it works
Erathos connects to MySQL via the official API and syncs your data incrementally—only new or updated records are processed on each run, keeping pipelines fast and BigQuery costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination dataset. Each run is tracked with full observability: execution time, rows processed, errors with context, and instant alerts via Slack or email if anything goes wrong.
No credit card required.
Why do data teams choose Erathos for MySQL?
Ready-to-use MySQL connector
Replicate MySQL tables to BigQuery with incremental synchronization and automatic schema drift detection—without breaking pipelines when the structure changes.
Full control over your MySQL pipelines
Configure schedule, frequency, and sync type at the table level. Incremental synchronization processes only new or modified records—keeping BigQuery costs low and your analyses always up to date.
End-to-end observability
No more finding out about MySQL issues only after the business team complains. Every run is logged with runtime, rows processed, and error context. Get automatic alerts via Slack, Discord, or email the moment anything deviates from expected behavior — keeping replication always up to date without impacting your transactional database.
Why Companies Move Data from MySQL to BigQuery with Erathos
Centralizing MySQL data in BigQuery has never been easier
Erathos is a data ingestion platform for teams that need to replicate operational databases for analytics. With the MySQL connector, you can incrementally sync transactional tables and records to BigQuery—with schema drift detection and complete logs for every run.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos and how can it help my company?
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like MySQL to their data warehouse—with full observability into every run, zero maintenance, and none of the opacity of traditional market tools.
How does Erathos synchronize data from MySQL to BigQuery?
Erathos uses incremental replication to synchronize tables from MySQL to BigQuery. Schema drift is detected automatically—if a column is added or modified in MySQL, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from MySQL to BigQuery?
You can configure the synchronization frequency from every 5 minutes up to daily, at the table level. Erathos uses incremental synchronization—only new or updated records are processed in each run, keeping the MySQL pipeline efficient and BigQuery costs predictable.
What happens if a MySQL sync fails?
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context—not just "job failed." Smart retries handle transient errors, and every execution is logged with run time, processed rows, and error context so your team can debug in minutes, not hours.
Is there a free trial period for the MySQL connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect MySQL to BigQuery and start syncing immediately—no credit card required.