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MongoDB · change streams

Replicate MongoDB to your cloud warehouse.

Describe the sync in plain English, approve it once, and rsync.ai streams every change from MongoDB into Snowflake, BigQuery, Databricks, or Postgres — nested documents flattened into typed, query-ready tables.

Real-time change streamsYou approve every syncNo per-row pricing
Connect MongoDB free →See how a sync runs
Reads MongoDB change streams You approve before anything moves
Destinations

Send MongoDB data where your team already works.

Pick where it lands. rsync.ai flattens nested documents into typed, query-ready tables — and you approve the plan before anything moves.

Cloud warehouse

Land flattened, typed tables for BI and analytics — incremental after the first snapshot.

BigQueryDatabricksSnowflakeRedshift

Another database

Project MongoDB collections into relational Postgres or MySQL with a schema you can query with plain SQL.

PostgreSQLMySQL

Data lake / storage

Write Parquet, JSON, or CSV to object storage for your lake, byte-checked on every file.

Amazon S3GCSAzure Blob
What syncs

Every MongoDB structure, mapped to columns.

Collections
Embedded documents
Change streams
Snapshot + incremental
Nested fields → columns
_id → primary key
ISODate → TIMESTAMP
Decimal128 → NUMERIC
How it works

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

01

Describe it

Name the collections to replicate in plain English — no aggregation pipelines, no connector config.

02

Review the plan

rsync.ai samples the documents, proposes a flattened schema, maps types, and flags any PII before a row moves.

03

Approve

Nothing runs until you say yes. When a document shape drifts, the change pauses for the same review.

04

Stream

Change streams keep the destination live within seconds; a failed run resumes where it stopped.

Compare

Why teams move MongoDB this way.

What you care aboutExport scriptsKafka + DebeziumPer-row ETLrsync.ai
Set up without an engineerNoNoRarelyPlain English
Real-time change streamsBatch dumpsYesVariesYes
Nested docs → typed tablesBy handYou build itSometimesAutomatic
You approve before it runsn/aNoNoYes
Cost as volume growsYour timeInfra + opsRises per rowPer GB, not per row

Straight about status: the MongoDB 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 coming soon — today rsync.ai runs as a managed cloud.

FAQ

MongoDB replication — common questions

How fresh is the data?
You choose the schedule, from a few times a day down to near real time. rsync.ai reads MongoDB change streams, so it writes only the documents that changed — and a failed run resumes where it stopped instead of starting over.
How do nested documents become tables?
rsync.ai samples your collections, proposes a flattened schema — top-level fields become columns, nested objects become typed columns or JSON, and arrays can be unnested into child tables — then shows you the plan. You approve it before the first document moves, so there are no surprise column explosions.
Do I need to write aggregation pipelines or configure a connector?
No. Describe the sync in plain English. rsync.ai discovers collection shapes, maps BSON types to the destination, 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 drift in document shape pauses for review. Self-hosting entirely in your own VPC is coming soon for teams that need data to never leave their network.

Put your MongoDB data in the warehouse.

Connect your database free and send your first live sync to BigQuery or Databricks today.

Connect MongoDB free →See how it works
Live on rsync.ai Cloud today · self-hosting coming soon