Stream data from Amazon RDS for PostgreSQL to Firebolt
Sync your Amazon RDS for PostgreSQL data with Firebolt in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Amazon RDS for PostgreSQL connector details
With Estuary’s Amazon RDS for PostgreSQL connector, you can capture every database change as it happens using Change Data Capture (CDC) powered by PostgreSQL’s logical replication. The connector continuously streams inserts, updates, and deletes from your RDS instance into Flow collections, keeping downstream systems synchronized in real time without manual intervention.
- Real-time CDC replication built on PostgreSQL logical decoding
- Handles initial backfill and ongoing incremental updates automatically
- Supports read-only captures and replica-based streaming for better performance
- Intelligent WAL management to ensure reliability and avoid retention issues
- Enterprise-ready security with SSH tunneling, VPC isolation, and BYOC or private deployments for full data control

Firebolt connector details
The Firebolt materialization connector loads data from Estuary collections into Firebolt FACT or DIMENSION tables using a secure, high-performance pipeline. It stages JSON documents in Amazon S3, then leverages Firebolt’s external table mechanism to efficiently ingest and query data.
- Optimized data delivery: Writes Flow collection updates to Firebolt via S3-backed external tables for minimal latency
- Delta-based materialization: Operates in delta updates mode, perfectly suited for Firebolt’s insert-only architecture
- Seamless integration: Automatically maps Flow schemas to Firebolt FACT or DIMENSION tables
- Secure configuration: Supports IAM-based authentication for private S3 buckets
- Scalable performance: Designed to handle large-scale analytical workloads with Firebolt engines
- Enterprise-ready: Works seamlessly in Estuary’s Private and BYOC environments for full data control
💡 Tip: Use this connector to power ultra-fast analytics by streaming real-time Flow data into Firebolt, ideal for dashboards, event logs, and time-series reporting.
How to integrate Amazon RDS for PostgreSQL with Firebolt in 3 simple steps using Estuary Flow
Connect Amazon RDS for PostgreSQL as Your Real-Time Data Source
Set up a real-time source connector for Amazon RDS for PostgreSQL in minutes. Estuary captures change data (CDC), events, or snapshots — no custom pipelines, agents or manual configs needed.
Configure Firebolt as Your Target
Choose Firebolt 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 Amazon RDS for PostgreSQL connector.
- Enter Details: Add your Amazon RDS for PostgreSQL connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Amazon RDS for PostgreSQL capture, and publish.
What is Amazon RDS for PostgreSQL?
How do I Transfer Data from Amazon RDS for PostgreSQL?
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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