Stream data from Amazon Aurora for Postgres to Firebolt
Sync your Amazon Aurora for Postgres data with Firebolt in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
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Amazon Aurora for Postgres connector details
Estuary’s Amazon Aurora for PostgreSQL connector streams CDC events from your Aurora cluster into Flow collections using PostgreSQL logical replication. Once Aurora is configured with logical replication, a publication, and a replication slot, the connector captures inserts, updates, and deletes continuously with optional read-only mode for restricted environments.
- CDC via logical replication (enable cluster param rds.logical_replication=1)
- Uses publication + replication slot; manages a watermarks table for accurate backfills (or read-only mode with heartbeat requirement)
- Works with Aurora endpoints and supports IP allowlisting or SSH tunneling
- Guidance for WAL retention sizing to avoid slot invalidation during lag or downtime

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 Aurora for Postgres with Firebolt in 3 simple steps using Estuary Flow
Connect Amazon Aurora for Postgres as Your Real-Time Data Source
Set up a real-time source connector for Amazon Aurora for Postgres 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 Aurora for Postgres connector.
- Enter Details: Add your Amazon Aurora for Postgres connection details and click SAVE AND PUBLISH.
- Materialize Data: Go to Destinations, choose your target system, link the Amazon Aurora for Postgres capture, and publish.
What is Amazon Aurora for Postgres?
How do I Transfer Data from Amazon Aurora 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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