Replicate MySQL to your cloud warehouse.
Describe the sync in plain English, approve it once, and rsync.ai streams every INSERT, UPDATE, and DELETE from MySQL into BigQuery, Databricks, or Postgres — read straight from the binary log, with no polling and every delete captured as an event.
Send MySQL data where your team already works.
Pick where it lands. rsync.ai maps MySQL types automatically and builds the pipeline — you approve the plan before anything moves.
Cloud warehouse
Land typed, query-ready tables for BI and analytics — incremental after the first snapshot.
Another database
Replicate MySQL into Postgres — or into a fresh MySQL for a migration — with automatic type mapping and real-time CDC.
Storage, lake & sheets
Write Parquet, JSON, or CSV to object storage for your lake, or push query results to a live spreadsheet.
Every MySQL object, mapped to typed columns.
Four steps. Nothing runs until you approve.
Describe it
Name the tables to replicate in plain English — no SQL, no binlog wrangling, no connector config.
Review the plan
rsync.ai discovers the schema, maps MySQL types to the destination, and scans columns for likely personal data before a row moves.
Approve
Nothing runs until you say yes. Later schema changes are applied and recorded; only a dropped table waits for you.
Stream
rsync.ai reads the binary log and keeps the destination up to date continuously; a failed run resumes from its last binlog position.
Then work with the data without leaving rsync.ai
Synced tables become something you can query, schedule and share in the same workspace.
SQL Explorer
Run SQL against your connections, with personal columns masked in previews; writes are gated by role and every write is audited.
Models
Turn a query into a table that rebuilds on a schedule or when its inputs refresh, with version history and data checks.
Charts and Dashboards
Draw a model or saved query as a chart, then put charts on one live dashboard.
Workflows and Ask rsync.ai
Schedule reports and data alerts to Slack or email. Describe one in plain English and Ask rsync.ai drafts it.
Why teams move MySQL this way.
| What you care about | mysqldump / cron | Debezium + Kafka | Per-row ETL | rsync.ai |
|---|---|---|---|---|
| Set up without an engineer | No | No | Rarely | Plain English |
| Real-time binlog CDC | Batch dumps | Yes | Varies | Yes |
| Types mapped automatically | By hand | You build it | Sometimes | Automatic |
| You approve before it runs | n/a | No | No | Yes |
| Cost as volume grows | Your time | Infra + ops | Rises per row | Per GB, not per row |
Straight about status: the MySQL source and its Postgres, BigQuery, Databricks, storage, and Google Sheets destinations are live in production. Snowflake and Redshift are in preview. Self-hosting in your own VPC is available now — source-available under the rsync.ai Source-Available License — or run rsync.ai as a managed cloud.
MySQL replication — common questions
How fresh is the data?
Does MySQL CDC work on Amazon RDS, Aurora, Cloud SQL, and Azure Database for MySQL?
What do I need to set up on MySQL?
Should I use GTID or file+position replication?
Do I need to write SQL or configure a connector?
How are you priced?
Who controls what moves?
Put your MySQL data in the warehouse.
Connect your database free and send your first live sync to BigQuery or Databricks today.
Live on rsync.ai Cloud today · self-hosted (rsync.ai Source-Available License)