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None of the three is a universal winner: the right choice depends on whether your application relies on PostgreSQL session state, which client and driver features it uses, and where your database runs. PgBouncer offers configurable transaction pooling and can track protocol-level prepared statements when configured. Supavisor transaction mode is aimed at shared connections, including short-lived workloads, but does not support prepared statements or query pipelining. RDS Proxy is managed for supported RDS deployments, but session pinning can limit connection reuse. Test your actual application before switching.
What survives when a transaction ends?
Transaction pooling lets a client use a backend database connection for a transaction, then returns that connection to a pool when the transaction finishes. The next transaction from the same client may use a different backend. That is the central compatibility issue: an application cannot assume connection-local state will still be there after a transaction boundary.
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In PgBouncer transaction mode, this breaks some PostgreSQL session-based features; its compatibility guide identifies SET/RESET, LISTEN, holdable cursors, SQL PREPARE/DEALLOCATE, persistent temporary tables, LOAD, and session-level advisory locks as incompatible. PgBouncer’s feature guide lists the mode-by-mode behavior.
Supavisor transaction mode also does not preserve session state across transactions. Supabase calls out prepared statements, cursors that outlive a transaction, session-level settings and advisory locks, LISTEN/NOTIFY, temporary tables, and query pipelining as unsupported in that mode. Supabase’s connection guide describes the limitations and driver-specific workarounds.
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RDS Proxy treats transaction boundaries as opportunities to reuse a connection, not a guarantee that every request can be multiplexed. AWS says statements in one transaction use the same underlying connection; after transaction completion, the connection can be made available to another session. Requests that make a session impractical to move can pin it to its current connection. See RDS Proxy concepts and AWS’s pinning guidance.
How do the three poolers compare?
| Decision point | PgBouncer | Supavisor | RDS Proxy |
|---|---|---|---|
| What happens after a transaction | Returns the server connection to the pool. | Returns the backend connection for reuse in shared transaction mode. | Can reuse the connection after the transaction when practical; pinning can prevent multiplexing. |
| Session state | Many session-dependent PostgreSQL features are incompatible with transaction pooling. | Session state does not persist across transactions; several features are explicitly unsupported. | Some requests pin the session to a connection. |
| Prepared statements | Protocol-level prepared plans can work when tracking is configured; SQL PREPARE/DEALLOCATE are separate and incompatible with transaction mode. |
Unsupported in transaction mode; disable prepared statements in the client or driver. | Check current AWS documentation for the target engine and test the workload. |
| Where it runs | Self-managed pooler. | Supabase-managed shared pooler; Supabase also offers a dedicated PgBouncer option. | AWS-managed proxy for supported RDS deployments. |
| A natural fit | Teams that want configurability and can adapt applications to transaction-pooling semantics. | Supabase workloads with many short-lived connections that meet the documented client constraints. | RDS users who want managed proxy infrastructure and can accommodate AWS-specific constraints. |
The table reflects documented behavior, not a head-to-head performance test. No comparable published benchmark establishes a universal speed or connection-capacity winner. Measure with representative traffic rather than inferring performance from a generic connection-count claim.
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Which prepared statements does PgBouncer support?
Distinguish protocol-level prepared statements, commonly created and managed by a driver, from SQL-level PREPARE and DEALLOCATE commands. PgBouncer’s feature guide marks the SQL commands incompatible in transaction mode, while its protocol-level prepared-plan support works when max_prepared_statements is nonzero. The PgBouncer FAQ says this tracking has been available in transaction pooling since version 1.21.0; check the current FAQ and configuration documentation for the deployed version and setting.
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When does Supavisor make sense?
Supabase positions shared Supavisor transaction mode, available at port 6543, for serverless and edge workloads that open many short-lived connections. Its connection guide says the shared pooler is IPv4-reachable. Supabase also describes a dedicated PgBouncer pooler on paid plans: it runs alongside the database and, according to Supabase, has lower latency than the shared pooler because it runs on the same machine, while using project compute. These are service and deployment details, not a benchmark comparison with PgBouncer generally or RDS Proxy. Check the project’s dashboard for its actual connection string and current plan and network details. Supabase’s pooling and limits guide covers the available pooling choices.
If using Supavisor transaction mode, client configuration may need to disable prepared statements. Supabase documents these examples: Postgres.js/Drizzle uses prepare: false, Prisma uses pgbouncer=true, asyncpg uses statement_cache_size=0, and JDBC uses prepareThreshold=0. Apply the setting for the driver in use, then verify it with integration tests; do not assume one driver’s setting applies to another.
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When does RDS Proxy make sense?
RDS Proxy is relevant when the database is a supported Amazon RDS deployment and managed AWS infrastructure is a priority. Confirm that the exact engine version and AWS Region are eligible before designing around it; availability varies. AWS also documents PostgreSQL-specific limitations: client CancelRequest is not supported, results from lastval are not always accurate, and streaming replication mode is unsupported. The RDS Proxy documentation is the place to check current eligibility and limitations.
Pinning matters because it reduces the number of connections that can be shared between sessions. Inspect AWS’s pinning guidance against your application’s behavior; transaction boundaries alone do not establish how much multiplexing your workload will achieve.
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How should you choose and test?
- Inventory session behavior. Search application code, migrations, ORM configuration, and driver settings for session-level
SETstate, advisory locks,LISTEN, temporary tables, cursors, prepared statements, and query pipelining. Identify which features must persist beyond a single transaction. - Check the exact pooler mode. Compare that inventory with the official compatibility documentation for the mode you intend to use. If application behavior requires state to survive between transactions, choose session mode or a direct connection where appropriate, or redesign the behavior so it is transaction-scoped.
- Confirm the deployment boundary. PgBouncer is self-managed; Supavisor and Supabase’s dedicated PgBouncer are Supabase service choices; RDS Proxy is for supported RDS targets. Verify network reachability and the actual endpoint for the specific project or database.
- Review driver settings and proxy constraints. Configure the real ORM and driver as required, and account for RDS Proxy pinning and PostgreSQL limitations if evaluating AWS’s proxy.
- Run integration tests and representative load tests. Exercise transaction boundaries, session commands, prepared statements, and the real deployment topology. Observe connection reuse and application behavior under the expected concurrency; do not extrapolate a universal winner from a generic claim about connections.
If required application features cannot be made compatible with a transaction pooler, use a session-oriented connection path for that workload rather than assuming the pooler will retain state it is designed to release.
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