Estuary

Move your data from MongoDB with your free account

Capture data from MongoDB and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

  • <100ms to batch
  • 200+ connectors
  • Managed data pipelines
01. Move from MongoDB02. Transform in-flight03. Select a destination
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MongoDB connector details

The Estuary MongoDB connector captures data from MongoDB collections into Estuary 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
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See how Xometry uses MongoDB

For more details about the MongoDB connector, check out the documentation page.

How to connect MongoDB to your destination in 3 easy steps

  1. 1

    Connect MongoDB as your data source

    Securely connect MongoDB and choose the objects, tables, or collections you need to sync.

  2. 2

    Prepare and transform your data

    Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

  3. 3

    Deliver to your destination

    Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

Learn more with some related videos

Dive deeper into MongoDB with tutorials and walkthroughs from our YouTube channel.

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Trusted by data teams worldwide

All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from MongoDB using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

  • Connect MongoDB to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
  • Capture once and reuse MongoDB data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send MongoDB data:

Details

or choose from these popular destinations:

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PostgreSQL
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MySQL
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SQL Server
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MongoDB
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Apache Kafka
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Google Bigquery
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Snowflake

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Latency<100ms to scheduled5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh

One platform for real-time and batch data pipelines

Detailed Comparison

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

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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.