Estuary
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REAL-TIME ETL & CDC

Stream into MongoDB with your free account

Continously ingest and deliver both streaming and batch change data from 150+ of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT
01. Select a source02. Transform in-flight03. Deliver to MongoDB
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MongoDB connector details

The MongoDB materialization connector writes Estuary collections into MongoDB collections, turning each Estuary collection document into a MongoDB document. Estuary uses the Estuary collection key to create the MongoDB _id value, so documents can be updated consistently as upstream data changes.

  • Materialize Estuary collections into MongoDB collections for application, operational, and real-time serving use cases.
  • Create MongoDB documents with an _id value based on the Estuary collection key.
  • If an Estuary collection already contains a field named _id, Estuary writes that field as _flow_id to avoid conflicts with MongoDB’s required _id field.
  • Connect using your MongoDB host address, database name, username, and password, including mongodb+srv:// addresses where applicable.
  • Use a MongoDB user with read and write access to the target database and collections.
  • Support standard merge updates by default, with optional delta updates for workloads that need that update mode.

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

How to connect your data source to MongoDB in 3 easy steps

1

Connect your data source

Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

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

Sync to MongoDB

Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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.

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HIGH THROUGHPUT

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

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DURABLE REPLICATION

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

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes to MongoDB in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ 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.

See how you can integrate any source with MongoDB:

Details

or choose from these popular data sources:

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PostgreSQL
MySQL logo
MySQL
SQL Server logo
SQL Server
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MongoDB
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Apache Kafka
BigQuery logo
BigQuery
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Snowflake Data Cloud

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

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
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.