Stream data from Mailchimp to Amazon Aurora for Postgres
Move data from Mailchimp to Amazon Aurora 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 Mailchimp with Amazon Aurora for Postgres in 3 simple steps
- 1
Connect Mailchimp as your data source
Set up a source connector for Mailchimp 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 Amazon Aurora 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 Amazon Aurora 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.

Mailchimp connector details
The Mailchimp capture connector in Estuary captures marketing, campaign, audience, and engagement data through the Mailchimp Marketing API and loads each selected resource into an Estuary collection. Depending on the resource, the connector uses incremental replication or full refreshes to keep downstream data up to date.
- API-based data capture from Mailchimp
- Incremental replication for campaigns, email activity, list members, and segments
- Full-refresh replication for automations, automation emails, lists, interests, interest categories, segment members, and tags
- Separate Estuary collections for each selected Mailchimp resource
- Configurable sync intervals for individual resources
- Configurable start date for eligible data, defaulting to 30 days before the present date
- Scheduled backfills for resources that need periodic re-capture
- OAuth2 or Mailchimp API key authentication
Campaigns are periodically re-captured because Mailchimp campaign records can continue changing after they are created, such as when campaign status or reporting statistics change. By default, the campaigns stream attempts a backfill once per day at midnight UTC. Campaign deletions are not captured.

Amazon Aurora for Postgres connector details
The Amazon Aurora for PostgreSQL materialization connector in Estuary delivers data from Estuary collections into tables in an Aurora PostgreSQL-compatible database. It supports continuous materialization from real-time or batch pipelines and uses standard merge-based updates by default to keep destination tables synchronized.
- Materializes Estuary collections directly into Amazon Aurora for PostgreSQL tables
- Standard merge-based updates by default to keep existing rows synchronized
- Optional delta updates for workloads where changes should be applied incrementally
- Optional hard deletes so records deleted at the source can also be deleted from the destination
- Automatic table creation for tables managed by the connector
- AWS IAM or username/password authentication
- Direct connectivity or SSH tunneling for secure access to Aurora instances
- Configurable SSL modes for encrypted database connections
- Custom SQL during table creation for indexes or other table-level configuration
- Configurable destination schemas and table names for individual bindings
Estuary creates and manages the destination tables used by the materialization. You can configure a default PostgreSQL schema, override it for individual bindings, and optionally run additional SQL when a table is created—for example, to create indexes automatically.
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.

Mailchimp to Amazon Aurora for Postgres pricing estimate
Estimated monthly cost to move 800 GB from Mailchimp to Amazon Aurora for Postgres is approximately $1,000.
Data moved
Choose how much data you want to move from Mailchimp to Amazon Aurora for Postgres each month.
GB
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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 Mailchimp to Amazon Aurora 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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