
Move your data from Iterable with your free account
Capture data from Iterable 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



Iterable connector details
The Iterable capture connector in Estuary captures marketing, campaign, event, and user data from Iterable and loads each selected resource into an Estuary collection. Depending on the resource, the connector uses either incremental replication or full refreshes to keep downstream data up to date.
- API-based data capture from Iterable
- Incremental replication for campaigns, campaign metrics, events, and users
- Full-refresh replication for channels, lists, list users, message types, metadata tables, and templates
- Separate Estuary collections for each selected Iterable resource
- Configurable sync intervals for individual resources
- Configurable start date for incremental data, defaulting to 30 days before the present date when not specified
- Scheduled backfills for resources such as list memberships
- Support for Email-based, UserID-based, and Hybrid Iterable projects
- Server-side Iterable API key authentication
For the events stream, Estuary generates a synthetic _estuary_id from event attributes to provide a stable identifier for deduplication because Iterable events do not provide a natural unique ID.
How to connect Iterable to your destination in 3 easy steps
- 1
Connect Iterable as your data source
Securely connect Iterable and choose the objects, tables, or collections you need to sync.
- 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
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 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 Iterable using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Iterable to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Iterable data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Iterable data:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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