Real-time ETL & CDC
MOVE YOUR DATA FROM GOOGLE CLOUD SQL FOR 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
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
REAL-TIMEHIGH THROUGHPUT
Point a connector and replicate changes from Google Cloud SQL for 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 Google Cloud SQL for PostgreSQL insights always reflect the latest data by connecting your databases to Google Cloud SQL for PostgreSQL with change data capture.
- Or connect critical SaaS apps to Google Cloud SQL for PostgreSQL with real-time data pipelines.
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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
Speed | <100ms | 5min+ | Varies | <100ms |
Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
Scale |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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Learn more about how Estuary can help with real-time replication.