Stream into Supabase with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Supabase using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

Try it free Watch Demo

01. Select a source02. Transform in-flight03. Deliver to Supabase

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.

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

How to connect your data source to Supabase 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 Supabase
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

Learn more

Dive deeper into Supabase with this quick video from our YouTube channel.

PostgreSQL CDC Setup Tutorial: Real-Time Data Capture with Estuary (Step-by-Step)
Learn how to set up PostgreSQL Change Data Capture (CDC) with Estuary in under 10 minutes. This tutorial walks through enabling logical replication on Google Cloud SQL, creating the replication user, and connecting your Postgres database to Estuary for real-time streaming to Snowflake, BigQuery, Databricks, and more.

Get Started Free

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. Bring data from databases, SaaS apps, APIs, files, and event streams into Supabase, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Supabase through Estuary.
Transform and route data through Estuary collections before delivering it to Supabase.

See what you can connect to Supabase:

Search for any source

Search for any destination

Details

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