
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.
Read success storySurface Ventures
Surface Ventures Makes Financial Analytics Real-time with Estuary and Motherduck
Read success storyTogether AI
How Together AI Uses Near-Real-Time Data to Understand Inference Economics
Read success storyEnvoy
Right-Time Visibility for a High-Velocity Business: Envoy’s Estuary Story
Read success storyColtene
From SAP on SQL Server to Snowflake: How Coltene Built Reliable Replication with Estuary

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.
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

Popular sources/destinations you can sync your data with
Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.
![Apache Iceberg Logo]()
Apache Iceberg
![Databricks Logo]()
Databricks
![MotherDuck Logo]()
MotherDuck
![MySQL Logo]()
MySQL
![Amazon Redshift Logo]()
Amazon Redshift
![Elastic Logo]()
Elastic
![PostgreSQL Logo]()
PostgreSQL
![Snowflake Logo]()
Snowflake
![Google Bigquery Logo]()
Google Bigquery
![HubSpot Logo]()
HubSpot
![Dremio Logo]()
Dremio
![AWS OpenSearch Logo]()
AWS OpenSearch
![Amazon EventBridge Logo]()
Amazon EventBridge
![Amazon SNS Logo]()
Amazon SNS
![Google Bigtable Logo]()
Google Bigtable
![ClickHouse Logo]()
ClickHouse
![Bauplan Logo]()
Bauplan
![Google Spanner Logo]()
Google Spanner
![SingleStore Logo]()
SingleStore
![Supabase Logo]()
Supabase
![Azure Blob Storage Parquet Logo]()
Azure Blob Storage Parquet
![RisingWave Logo]()
RisingWave
![Materialize Logo]()
Materialize
![Imply Polaris Logo]()
Imply Polaris
![ClickHouse Kafka API Logo]()
ClickHouse Kafka API
![Bytewax Logo]()
Bytewax
![SingleStore Dekaf Logo]()
SingleStore Dekaf
![StarTree Logo]()
StarTree
![Tinybird Logo]()
Tinybird
![Azure Fabric Warehouse Logo]()
Azure Fabric Warehouse
![Dekaf Logo]()
Dekaf
![Apache Kafka Logo]()
Apache Kafka
![Amazon S3 Iceberg (delta updates) Logo]()
Amazon S3 Iceberg (delta updates)
![Google Cloud Storage CSV Logo]()
Google Cloud Storage CSV
![Google GCS Parquet Logo]()
Google GCS Parquet
![Amazon S3 CSV Logo]()
Amazon S3 CSV
![Amazon RDS for PostgreSQL Logo]()
Amazon RDS for PostgreSQL
![Amazon RDS for SQL Server Logo]()
Amazon RDS for SQL Server
![Amazon RDS for MariaDB Logo]()
Amazon RDS for MariaDB
![Amazon RDS for MySQL Logo]()
Amazon RDS for MySQL
![Google Cloud SQL for SQL Server Logo]()
Google Cloud SQL for SQL Server
![Google Cloud SQL for PostgreSQL Logo]()
Google Cloud SQL for PostgreSQL
![Google Cloud SQL for MySQL Logo]()
Google Cloud SQL for MySQL
![Oracle MySQL Heatwave Logo]()
Oracle MySQL Heatwave
![Amazon Aurora for MySQL Logo]()
Amazon Aurora for MySQL
![MariaDB Logo]()
MariaDB
![Amazon DynamoDB Logo]()
Amazon DynamoDB
![SQL Server Logo]()
SQL Server
![HTTP Webhook Logo]()
HTTP Webhook
![Pinecone Logo]()
Pinecone
![Slack Logo]()
Slack
![Azure Cosmos DB Logo]()
Azure Cosmos DB
![Amazon Aurora for Postgres Logo]()
Amazon Aurora for Postgres
![SQLite Logo]()
SQLite
![MongoDB Logo]()
MongoDB
![Alloy DB for Postgres Logo]()
Alloy DB for Postgres
![Timescale Logo]()
Timescale
![Google PubSub Logo]()
Google PubSub
![Google Sheets Logo]()
Google Sheets
![Amazon S3 Parquet Logo]()
Amazon S3 Parquet






































































