Movatterモバイル変換


[0]ホーム

URL:


Estuary
PricingConnectors
PricingConnectors
PostgreSQL logo

PostgreSQL connector details

Optimized for analytical and transactional workloads, the Estuary PostgreSQL connector materializes Flow collections into tables within PostgreSQL databases in real time. It creates and manages tables automatically, ensuring low-latency writes and schema consistency. The connector supports self-hosted, RDS, Aurora, Cloud SQL, Azure Database for PostgreSQL, and Supabase, with secure connectivity through SSL or SSH tunneling.

  • Real-time data materialization into PostgreSQL tables
  • Works with managed and on-prem PostgreSQL environments
  • Supports delta updates and schema management
  • Automatically handles table creation and reserved words
  • Secure connections via SSL and SSH

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

How to connect yourdata source toPostgreSQL in 3 easy steps

1

Connect your data source

Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.

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 PostgreSQL

Continuously or periodically deliver data into 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.

Get Started Free
icon-2

HIGH THROUGHPUT

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

icon-3

DURABLE REPLICATION

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

icon-1

REAL-TIME INGESTION

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

Real-timehigh throughput

Point a connector and replicate changes to PostgreSQL in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ 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 any source withPostgreSQL:

Details

Don't see a connector?Request and our team will get back to you in 24 hours

Pipelines asfast 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

Deliverreal-time andbatch data from DBs, SaaS, APIs, and more

Connection-1

Popularsources/destinations you cansync 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.


[8]ページ先頭

©2009-2026 Movatter.jp