Stream data from Alloy DB for Postgres to Amazon S3 Parquet
Sync your Alloy DB for Postgres data with Amazon S3 Parquet in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Alloy DB for Postgres connector details
The AlloyDB connector for Estuary Flow uses change data capture (CDC) to replicate inserts, updates, and deletes from your AlloyDB database into Flow collections in near real time. Built on the PostgreSQL capture foundation, it brings AlloyDB’s scalability and Google Cloud integration into the Estuary ecosystem with minimal setup effort.
- Continuously streams row-level changes from AlloyDB using PostgreSQL logical replication
- Supports automatic creation of replication slots, publications, and watermark tables
- Requires SSH tunneling for secure access, since AlloyDB doesn’t support IP allowlisting
- Configurable backfill behavior to balance completeness and performance
- Enterprise-ready: Compatible with Estuary’s Private and BYOC deployments for secure, compliant data movement

Amazon S3 Parquet connector details
The Amazon S3 Parquet materialization connector writes delta updates from Estuary Flow collections to an Amazon S3 bucket in Apache Parquet format, providing efficient, columnar storage optimized for analytics and downstream data lake use cases.
- Data format: Outputs batched delta updates as Parquet files for compact, query-ready storage
- Upload scheduling: Configure upload intervals and file size limits to control data batching frequency
- Flexible authentication: Supports both AWS Access Keys and IAM roles for secure access
- Schema-aware typing: Automatically maps Flow collection field types to equivalent Parquet data types
- File versioning: Organizes files by path and version counters for easy traceability and reprocessing
- Scalable and compatible: Works with AWS S3 and S3-compatible APIs, such as MinIO or Wasabi
💡 Tip: Use this connector to build cost-efficient, analytics-ready data lakes by streaming Flow data to S3 in Parquet format, ready for querying in Athena, Snowflake, or Databricks.
How to integrate Alloy DB for Postgres with Amazon S3 Parquet in 3 simple steps using Estuary Flow
Connect Alloy DB for Postgres as Your Real-Time Data Source
Set up a real-time source connector for Alloy DB for Postgres in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Amazon S3 Parquet as Your Target
Choose Amazon S3 Parquet as your target system. Estuary intelligently maps schemas, supports both batch and streaming loads, and adapts to schema changes automatically.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary Flow guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Estuary Flow in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary Flow does the rest.
Why Estuary Flow is the best choice for data integration
Estuary Flow combines the most real-time, streaming change data capture (CDC), and batch connectors together into a unified modern data pipeline:

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Frequently Asked Questions
- Set Up Capture: In Estuary Flow, go to Sources, click + NEW CAPTURE, and select the Alloy DB for Postgres connector.
- Enter Details: Add your Alloy DB for Postgres connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Alloy DB for Postgres capture, and publish.
What is Alloy DB for Postgres?
How do I Transfer Data from Alloy DB for Postgres?
What are the pricing options for Estuary Flow?
Estuary offers competitive and transparent pricing, with a free tier that includes 2 connector instances and up to 10 GB of data transfer per month. Explore our pricing options to see which plan fits your data integration needs.
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