Stream data from Iterable to Alloy DB for Postgres
Move data from Iterable to Alloy DB for Postgres in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Iterable with Alloy DB for Postgres in 3 simple steps
- 1
Connect Iterable as your data source
Set up a source connector for Iterable 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.
- 2
Configure Alloy DB for Postgres 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 Alloy DB for Postgres.
- 3
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.

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.

Alloy DB for Postgres connector details
The AlloyDB materialization connector continuously writes data from Estuary collections into AlloyDB tables, allowing you to keep a fully managed, PostgreSQL-compatible database in Google Cloud up to date with your real-time data streams.
- PostgreSQL-compatible: Built on Estuary’s PostgreSQL connector, providing identical configuration and behavior
- Secure connectivity: Uses SSH tunneling to connect to AlloyDB instances (since IP allowlisting isn’t supported)
- Automatic table creation: Estuary creates and manages target tables automatically based on your collection schemas
- Delta or merge updates: Supports both incremental (delta) and standard merge-based updates
- Ideal for analytics and applications: Perfect for workloads that need transactional consistency and scalable cloud performance
💡 Tip: Configure your SSH bastion VM within the same Google Cloud project as your AlloyDB instance for secure, low-latency connections.
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.

Iterable to Alloy DB for Postgres pricing estimate
Estimated monthly cost to move 800 GB from Iterable to Alloy DB for Postgres is approximately $1,000.
Data moved
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Why pay more?
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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 Iterable to Alloy DB for Postgres 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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