Stream data from Klaviyo to MongoDB
Move data from Klaviyo to MongoDB in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 30-day free trial


- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Klaviyo with MongoDB in 3 simple steps
Connect Klaviyo as your data source
Set up a source connector for Klaviyo in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure MongoDB as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to MongoDB.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Klaviyo connector details
The Klaviyo connector from Estuary captures marketing and customer engagement data from Klaviyo into Estuary data collections. It supports a wide range of Klaviyo resources, making it easy to integrate campaign, profile, and event data into your real-time pipelines.
- Captures Klaviyo resources including Campaigns, Events, Profiles, Metrics, and Segments
- Secure setup with Private API Key authentication
- Configurable start date for incremental syncs and backfills
- Adjustable window size for efficient event backfilling
- Runs on a flexible sync interval for continuous data capture

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
_idvalue based on the Estuary collection key. - If an Estuary collection already contains a field named
_id, Estuary writes that field as_flow_idto avoid conflicts with MongoDB’s required_idfield. - 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.
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Klaviyo to MongoDB pricing estimate
Estimated monthly cost to move 800 GB from Klaviyo to MongoDB is approximately $1,000.
Data moved
Choose how much data you want to move from Klaviyo to MongoDB each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Klaviyo to MongoDB integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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