Move your data from Neon PostgreSQL with your free account
Capture data from Neon PostgreSQL and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Neon PostgreSQL connector details
Estuary’s Neon PostgreSQL connector enables real-time change data capture (CDC) from your Neon-hosted PostgreSQL databases. It uses Neon’s logical replication feature and Estuary’s streaming engine to continuously capture inserts, updates, and deletes into Estuary collections for downstream analytics and operational use cases.
- Streams real-time changes from Neon PostgreSQL using logical replication
- Automatically configures replication slots, publications, and watermarks for reliable CDC
- Supports initial backfills and incremental syncs, with the flexibility to skip backfills for large datasets
- Ideal for building cloud-native, low-latency pipelines for analytics and applications
- Secure by design: Supports Estuary’s Private Deployment and BYOC options, giving teams full control over data residency, compliance, and network security
💡 Tip: If you’re capturing from self-managed or non-Neon PostgreSQL instances, explore the standard Estuary PostgreSQL CDC connector for similar real-time capabilities.
See how Surface Ventures uses Neon PostgreSQL
How to connect Neon PostgreSQL to your destination in 3 easy steps
- 1
Connect Neon PostgreSQL as your data source
Securely connect Neon PostgreSQL and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Learn more
Dive deeper into Neon PostgreSQL with this quick video from our YouTube channel.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
![Surface Ventures]()
Read success storySurface Ventures
Surface Ventures Makes Financial Analytics Real-time with Estuary and Motherduck
![Deel logo]()
Read success storyDeel
How Deel Powers Real-Time Customer-Facing Analytics with Estuary
![Together AI logo]()
Read success storyTogether AI
How Together AI Uses Near-Real-Time Data to Understand Inference Economics
![Logo for Envoy]()
Read success storyEnvoy
Right-Time Visibility for a High-Velocity Business: Envoy’s Estuary Story
HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Neon PostgreSQL using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Neon PostgreSQL to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Neon PostgreSQL data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Neon PostgreSQL data:
Don't see a connector?Request and our team will get back to you in 24 hours
Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
One platform for real-time and batch data pipelines
Deliver real-time and batch data from DBs, SaaS, APIs, and more
