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Databricks · lakehouse destination

Load your databases into Databricks, live.

Describe the sync in plain English, approve it once, and rsync.ai streams every change from SQL Server, Postgres, MySQL, or MongoDB into Databricks — as Delta tables, registered in Unity Catalog.

Real-time CDCYou approve every syncNo per-row pricing
Load into Databricks free →See how a sync runs
Delta tables with incremental MERGE You approve before anything moves
Sources

Bring every source into the lakehouse.

Point rsync.ai at your databases and apps. It builds and runs the pipeline into Databricks — you approve it before anything moves.

Databases

Log-based CDC keeps operational databases mirrored as Delta tables within seconds, not nightly batches.

SQL ServerPostgreSQLMySQLMongoDB

SaaS & APIs

Pull business objects from the tools your team runs on, on a schedule you set and approve.

StripeGitHub

Files & storage

Ingest Parquet, JSON, or CSV from object storage into Delta tables, byte-checked on every file.

Amazon S3GCSAzure Blob
What lands

Delta tables, ready for SQL and Spark.

Delta tables
Unity Catalog
Partitioned tables
Incremental MERGE
Schema evolution
catalog.schema.table
TIMESTAMP / DATE
Nested → STRUCT / MAP
How it works

Four steps. You are in the loop for each one.

01

Describe it

Say which source and tables to load into Databricks in plain English — no connector config.

02

Review the plan

rsync.ai discovers the schema, proposes the Unity Catalog path and Delta types, and flags any PII before a row moves.

03

Approve

Nothing runs until you say yes. Later source schema changes pause for the same review.

04

Stream

CDC keeps Delta tables live within seconds; incremental MERGE means you pay to move only what changed.

Compare

Why teams load Databricks this way.

What you care aboutNotebooks + jobsFivetranHand-built ETLrsync.ai
Set up without an engineerSpark requiredConnector formsNoPlain English
Real-time, log-based CDCBatchYesVariesYes
You approve before it runsn/aNoNoYes
Cost as volume growsCluster timePer MARYour timePer GB, not per row
Run in your own VPCYesNoVariesComing soon

Straight about status: the Databricks destination and the SQL Server, MongoDB, Postgres, and MySQL sources are live in production. The Stripe and GitHub sources are in preview. Self-hosting in your own VPC is coming soon — today rsync.ai runs as a managed cloud.

FAQ

Loading Databricks — common questions

How fresh is the data in Databricks?
You choose the schedule, from a few times a day down to near real time. rsync.ai reads each source's change log (CDC) and applies an incremental MERGE into the Delta table, so it writes only the rows that changed — and a failed run resumes where it stopped.
Do tables register in Unity Catalog?
Yes. rsync.ai lands Delta tables at the catalog.schema.table path you approve and proposes the types and partitioning in the review step. Nothing is created until you approve it, so there are no silent conversions.
Do I need to write Spark or configure a connector?
No. Describe the sync in plain English. rsync.ai discovers the source schema, maps it to Delta types, flags PII, and shows you the plan. Nothing runs until you approve it.
How are you priced?
On data volume (GB moved), not per row or Monthly Active Rows — so your bill tracks bytes moved, not row counts. Each plan includes a GB allowance, and pipelines pause at the limit rather than silently running up charges; beyond the allowance it's a flat $3/GB.
Who controls what moves?
You do. Every sync waits for your approval, PII is flagged before it lands, and later schema changes pause for review. Self-hosting entirely in your own VPC is coming soon for teams that need data to never leave their network.

Get your data into Databricks.

Connect a source free and land your first live Delta tables in Databricks today — registered in Unity Catalog.

Load into Databricks free →See how it works
Live on rsync.ai Cloud today · self-hosting coming soon