MySQL + Redshift
MySQL is an open-source relational database management system, widely used to store, organize, and retrieve data in web and enterprise applications. Amazon Redshift, in turn, is a cloud data warehouse designed for fast, efficient analysis of large data volumes
With Erathos, you can integrate data from MySQL into Redshift in just a few minutes. Our platform handles the entire data movement process into your analytics environment and makes it possible to combine that data with other sources in your Data Warehouse. That way, your time goes toward what really drives value — extracting actionable insights and making more data-driven decisions.
Which MySQL data does Erathos sync to Redshift?
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 synchronization
Historical data — full initial load followed by incremental updates
Why sync MySQL with Redshift?
Keeping an analytical copy of MySQL operational data in Redshift ensures heavy queries don't impact 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 in each run, keeping pipelines fast and Redshift costs predictable. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the target dataset. Every run is logged with full observability: execution time, processed rows, 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 Redshift with incremental synchronization and automatic schema drift detection—without breaking pipelines when the structure changes.
Full control over your MySQL pipelines
Set sync frequency and type per table. Incremental synchronization for Redshift — only new records processed in each run, without reprocessing everything from scratch.
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 Redshift with Erathos
Centralizing MySQL data in Redshift has never been this simple.
Erathos is a data ingestion platform for teams that need to replicate operational databases for analytics. With the MySQL connector, you can sync transactional tables and records to Redshift incrementally—with schema drift detection and complete logs for every run.
Our Customers
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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 Redshift?
Erathos uses incremental replication to sync MySQL tables to Redshift. Schema drift is detected automatically—if a column is added or changed in MySQL, the pipeline adapts without manual intervention.
How often does Erathos synchronize data from MySQL to Redshift?
You can configure the sync 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 Redshift 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 Redshift and start syncing immediately—no credit card required.