Replicate SQL Server to your cloud warehouse.
Describe the sync in plain English, approve it once, and rsync.ai streams every change from SQL Server into BigQuery, Databricks, or Postgres— continuously, from SQL Server's native CDC.
Send SQL Server data where your team already works.
Pick where it lands. rsync.ai builds and runs the pipeline — you approve it before anything moves.
Cloud warehouse
Land typed, query-ready tables for BI and analytics — incremental after the first snapshot.
Another database
Replicate SQL Server into Postgres or MySQL with automatic type mapping and real-time CDC.
Data lake / storage
Write Parquet, JSON, or CSV to object storage for your lake.
Every SQL Server object your pipeline needs.
Four steps. Nothing runs until you approve.
Describe it
Say what to replicate in plain English — no SQL, no connector config.
Review the plan
rsync.ai discovers the schema, maps types, 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
CDC keeps the destination up to date continuously; a failed run resumes where it stopped.
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 SQL Server this way.
| What you care about | SSIS / manual | AWS DMS | Per-row ETL | rsync.ai |
|---|---|---|---|---|
| Set up without an engineer | No | Console forms | Rarely | Plain English |
| Native SQL Server CDC (change tables) | Batch | Yes | Varies | Yes |
| You approve before it runs | n/a | No | No | Yes |
| Cost as volume grows | Your time | Per hour + I/O | Rises per row | Per GB, not per row |
| Run in your own VPC | Yes | AWS only | Varies | Yes |
Straight about status: the SQL Server source and the BigQuery, Databricks, Postgres, MySQL, and storage 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.
SQL Server replication — common questions
How fresh is the data?
What does SQL Server need before CDC works?
Do I need to write SQL or configure a connector?
Which SQL Server types are handled?
How are you priced?
Who controls what moves?
Put your SQL Server 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)