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REAL-TIME ETL & CDC

Move your data from PostgreSQL with your free account

Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 100+ Connectors
  • 2-5x less than batch ELT
01. Move from PostgreSQL02. Transform in-flight03. Select a destination
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PostgreSQL connector details

Built for real-time data integration, the Estuary PostgreSQL connector streams inserts, updates, and deletes from PostgreSQL databases using Change Data Capture (CDC) via logical replication. It reads directly from the write-ahead log (WAL) to deliver low-latency, exactly-once data movement into Flow collections. The connector supports self-hosted, RDS, Aurora, Cloud SQL, Azure Database for PostgreSQL, and Supabase, with secure connectivity options such as SSH tunneling and SSL.

  • Continuous CDC streaming through PostgreSQL logical replication
  • Works with managed and on-prem PostgreSQL instances
  • Supports backfill and read-only captures
  • Automatically manages replication slots and publications
  • Secure setup via SSH or SSL

For more details about the PostgreSQL connector, check out the documentation page.

How to connect PostgreSQL to your destination in 3 easy steps

1

Connect PostgreSQL as your data source

Securely connect 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

Sync to your destination

Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

Learn more with some related videos

Dive deeper into PostgreSQL with tutorials and walkthroughs from our YouTube channel.

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All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes from PostgreSQL in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your PostgreSQL insights always reflect the latest data by connecting your databases to PostgreSQL with change data capture.
  • Or connect critical SaaS apps to PostgreSQL with real-time data pipelines.

See how you can integrate PostgreSQL with any destination:

Details

or choose from these popular data sources:

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PostgreSQL
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MySQL
SQL Server logo
SQL Server
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MongoDB
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Apache Kafka
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Google Bigquery
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Snowflake

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
Detailed Comparison

Deliver real-time and batch data from DBs, SaaS, APIs, and more

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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.