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Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT



MongoDB connector details
The Estuary MongoDB connector captures data from MongoDB collections into Flow in real time using change streams. It continuously streams inserts, updates, and deletes as CDC events while performing an initial snapshot for completeness.
- Streams real-time CDC events via MongoDB change streams
- Supports batch modes (snapshot or incremental) for non-streaming collections
- Performs a live backfill while reading ongoing updates
- Compatible with MongoDB Atlas, self-hosted clusters, and DocumentDB / Cosmos DB variants
- Enables secure SSH tunneling for private network connectivity


HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from MongoDB in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your MongoDB insights always reflect the latest data by connecting your databases to MongoDB with change data capture.
- Or connect critical SaaS apps to MongoDB with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
---|---|---|---|---|
Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
Speed | <100ms | 5min+ | Varies | <100ms |
Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
Scale |

Deliver real-time and batch data from DBs, SaaS, APIs, and more
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