Stream data from Supabase to MySQL
Move data from Supabase to MySQL in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 30-day free trial
- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Supabase with MySQL in 3 simple steps
Connect Supabase as your data source
Set up a source connector for Supabase in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure MySQL as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to MySQL.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.
Supabase connector details
The Supabase PostgreSQL capture connector in Estuary streams inserts, updates, and deletes from your Supabase database using log-based Change Data Capture. Estuary connects to Supabase through the direct PostgreSQL connection endpoint, not the Supabase connection pooler, because the pooler does not support the CDC replication features this connector relies on. Estuary reads change events from PostgreSQL’s write-ahead log through logical replication and keeps downstream systems updated in real time.
- Connect using your Supabase direct PostgreSQL hostname, port, database name, and database user.
- Use a Supabase IPv4 address and direct connection hostname that bypasses the Supabase connection pooler.
- Enable PostgreSQL logical replication by setting wal_level=logical.
- Use a database role with the REPLICATION attribute and the required table-read permissions.
- Configure a replication slot, publication, and watermarks table; Estuary can create some of these automatically when the connector has suitable permissions.
- Capture selected tables from your Supabase PostgreSQL database into Estuary collections.
- Use CDC instead of repeated bulk reloads to capture ongoing inserts, updates, and deletes with lower impact on the source database.
- Backfill existing table contents first, then continue streaming new change events.
- Support schema changes and resilient pipelines with Estuary’s schema evolution and checkpoint-based processing.
See how Resend uses Supabase
MySQL connector details
The Estuary MySQL connector materializes data collections into MySQL tables for downstream analytics or application use. It supports standard and delta update modes, ensuring efficient incremental writes. The connector works with both self-hosted and managed MySQL services like Amazon RDS, Google Cloud SQL, and Azure Database for MySQL, with optional SSH tunneling for secure connectivity.
- Writes data collections to MySQL tables in real time
- Supports standard and delta updates for optimized performance
- Compatible with RDS, Cloud SQL, and Azure Database for MySQL
- Handles date-time normalization and time zone alignment automatically
- Enables secure connections via SSL or SSH tunneling
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Success stories
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.
Supabase to MySQL pricing estimate
Estimated monthly cost to move 800 GB from Supabase to MySQL is approximately $1,000.
Data moved
Choose how much data you want to move from Supabase to MySQL each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.
What customers are saying
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Estuary transformed how we operationalize our data for fraud, security, support, and beyond. Instead of unreliable, expensive backfills, we have real-time visibility into platform activity. The proactive support and hands-on approach make all the difference.
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For AI systems like ours, freshness of data is everything. Estuary gives us sub-second latency without the complexity of maintaining streaming infrastructure ourselves. That reliability means our teams can focus on advancing AI models instead of pipelines.
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Estuary enabled us to finally implement our ERP’s new data endpoint with all our inventory transactions, purchasing, and shipping data. We can now unlock data blocked by cost before, and sync times are much faster and are always being improved by the Estuary team.
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“Estuary has been a pleasure to work with and has significantly modernized our data infrastructure, delivering real-time and scalable processes that will significantly impact company-wide operations. Every data-driven organization should be looking at Estuary today.”
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Estuary just works. We’ve never had an incident, and it cut our data movement costs in half.
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We didn’t want to be locked into a system where faster syncs meant higher bills. Estuary gives us real-time pipelines without pricing games or the burden of running Kafka ourselves.
Read the Success Story
Getting started with Estuary
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Sign upDocs
Make sure you read through the documentation, especially the get started section.
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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Supabase to MySQL integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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