MySQL + Amazon S3
MySQL is an open-source relational database management system, widely used to store, organize, and retrieve data in web and enterprise applications.
With Erathos, you can integrate data from MySQL into Amazon S3 in just a few minutes. Our platform handles the entire data movement process to your data lake and makes it easy to combine that data with other sources. That means your time is focused on what really creates value — extracting insights and making data-driven decisions.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
Which MySQL data does Erathos sync to Amazon S3?
The integration automatically syncs the main MySQL objects:
- Tables and collections — structure, records, and metadata
- Records and documents — raw data with creation and update timestamps
- Indexes — configuration and performance metrics
- Schemas — type definitions and relationships
- Audit logs — write, update, and delete operations
- Connections — user and session metadata
Why sync MySQL with Amazon S3?
In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to query with Athena, Spark, Trino, or any query engine in your stack. Ideal for low-cost archival and ML feature stores.
How it works
Erathos connects to MySQL through the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from every 5 minutes to daily), which objects to sync, and the destination in Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the target bucket. Each run is logged with full observability: run time, processed rows, errors with context, and alerts via Slack or email.
Centralizing MySQL data in Amazon S3 has never been easier
Erathos is a data ingestion platform built for data and engineering teams. With the MySQL connector, you automatically centralize MySQL database tables and objects in Amazon S3 — keeping data always up to date, with full observability into every run and zero maintenance.
MySQL Data in Amazon S3 in Minutes
MySQL connector ready to use
Connect MySQL to Amazon S3 and automatically export data. Centralize database information for analysis — no spreadsheets, no scripts.
Learn moreFull control over your MySQL pipelines
Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.
Learn moreEnd-to-end observability
Stop finding out about MySQL failures when the business team complains. Every run is logged with execution time, rows processed, and error context. Automatic alerts via Slack, Discord, or email as soon as anything deviates from expected — so your data stays fresh for analysis.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for MySQL
Other sources that land in Amazon S3
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
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 black-box behavior of traditional market tools.
Erathos performs incremental or full replication from MySQL to your target Data Warehouse, including tables, schemas, and relationships. Synchronization is configurable by frequency and schedule, with no code required.
You can configure sync frequency from every 5 minutes up to daily, on a per-table basis. Erathos uses incremental synchronization—only new or updated records are processed on each run, keeping the MySQL pipeline efficient and Amazon S3 costs predictable.
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 run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.
Yes. Every Erathos connector includes a 14-day free trial. Connect MySQL to Amazon S3 and start syncing right away — no credit card required.