Stream data from Amazon Aurora for Postgres to SingleStore Dekaf
Sync your Amazon Aurora for Postgres data with SingleStore Dekaf in minutes using Estuary Flow for real-time, no-code integration and seamless data pipelines.
- No credit card required
- 30-day free trial


- 100SOf connectors
- 5500+Active users
- <100MSEnd-to-end latency
- 7+GB/SECSingle dataflow

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

SingleStore Dekaf connector details
The SingleStore (Dekaf) connector streams Flow collections as Kafka-compatible messages that can be consumed directly by SingleStore pipelines. It enables real-time data ingestion from Estuary into SingleStore’s distributed SQL engine for hybrid transactional and analytical workloads.
- Real-time delivery: Streams collection updates to SingleStore pipelines over Kafka in Avro format.
- High-performance integration: Leverages SingleStore’s native ingestion pipeline for low-latency, scalable data flow.
- Simple authentication: Uses a configurable auth token as both the Kafka and Schema Registry credential.
- Flexible configuration: Each Flow collection is published as a separate Kafka topic for easy mapping.
- Deletion handling: Supports both standard Kafka-style deletes and CDC deletion modes for downstream processing.
- Quick setup: Define a pipeline in SingleStore with the
LOAD DATA KAFKAcommand and start ingesting immediately.
💡 Tip: Use ReplacingMergeTree or similar table engines in SingleStore when handling CDC deletions to maintain accurate, up-to-date data states across real-time pipelines.
How to integrate Amazon Aurora for Postgres with SingleStore Dekaf 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 SingleStore Dekaf as Your Target
Choose SingleStore Dekaf 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:

What customers are saying
Increase productivity 4x
With Flow companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Flow decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Flow'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.
Data moved
It's free up to 10 GB/month and 2 connector instances.
GB
Choose number of sources and destinations.
Your price at Estuary
Pricing comparisons
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.
Getting started with Estuary
Free account
Getting started with Estuary is simple. Sign up for a free account.
Sign upDocs
Make sure you read through the documentation, especially the get started section.
Learn moreCommunity
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Join Slack CommunityEstuary 101
I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
Watch

Related integrations with Amazon Aurora for Postgres
DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Flow's rich CLI.




































