

Stream into Supabase 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



Supabase connector details
The Supabase connector materializes Estuary collections into tables within a Supabase PostgreSQL database, enabling fast, reliable delivery of right-time data to your applications and analytics environment.
- Direct integration: Writes Estuary collections straight to Supabase-hosted PostgreSQL tables, automatically managing schema creation and updates.
- Secure connection: Uses Supabase’s direct database address (not the pooler) for stable, transaction-safe writes and prepared statements.
- Flexible updates: Supports both standard (merge) and delta update modes for efficient data application.
- Simple authentication: Configure quickly with your Supabase credentials and optional SSL settings.
- Optimized for developers: Ideal for teams using Supabase as their real-time backend or cloud data warehouse.
💡 Data freshness: Right-time delivery (incremental updates as Estuary transactions complete) — built for always-current app and analytics pipelines.


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 to Supabase 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 Supabase insights always reflect the latest data by connecting your databases to Supabase with change data capture.
- Or connect critical SaaS apps to Supabase 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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