MySQL + Databricks
MySQL is an open-source relational database management system widely used to store, organize, and retrieve data in web and enterprise applications. Databricks, in turn, is a serverless big data platform that provides robust capabilities for storing and analyzing data at scale.
With Erathos, you can integrate MySQL data into Databricks in just a few minutes. Our platform handles the entire data movement process into your analytics environment and lets you 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 with Databricks?
The integration automatically syncs the main MySQL objects:
Selected tables — incremental replication of any configured table
Schema drift — new columns automatically detected and 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 Databricks?
Keeping an analytical copy of your operational MySQL data in Databricks lets heavy queries run without affecting 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 Databricks 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, 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 Databricks with incremental synchronization and automatic schema drift detection—without breaking pipelines when the structure changes.
Full control over your MySQL pipelines
Configure frequency, sync type, and partitioning by table. Data arrives in Databricks ready for ML, analytics, and ad hoc queries—with predictable cost.
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 are moving data from MySQL to Databricks with Erathos
Centralizing MySQL data in Databricks 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 Databricks—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 sync data from MySQL to Databricks?
Erathos uses incremental replication to synchronize MySQL tables to Databricks. 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 Databricks?
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 Databricks 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 Databricks and start syncing immediately—no credit card required.