Head-to-head · Database Connection Pooling Software
MariaDB MaxScale vs PgBouncer
MariaDB MaxScale leads on 0 checks, PgBouncer on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreMariaDB MaxScale · 9.3/10
- Free planonly PgBouncer
- Free trialonly MariaDB MaxScale
MariaDB MaxScale scores higher on our rubric for database connection pooling software: 9.3 against 8.9 out of 10; our editors rank them #1 and #3.
PgBouncer offers free plan; MariaDB MaxScale doesn't.
MariaDB MaxScale is the better fit for enterprise MariaDB/MySQL connection routing and pooling. PgBouncer is the better fit for mature PostgreSQL pooling deployments.
- MariaDB MaxScale fits best
Enterprise MariaDB/MySQL connection routing and pooling
- PgBouncer fits best
Mature PostgreSQL pooling deployments
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Side by side
| Feature | MariaDB MaxScale 9.3/10 Visit ↗ | PgBouncer 8.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 8.9 |
| Ranking | #1 in Database Connection Pooling Software | #3 in Database Connection Pooling Software |
| Best for | Enterprise MariaDB/MySQL connection routing and pooling | Mature PostgreSQL pooling deployments |
| Pricing model | Paid | Free |
| Starting price | Pricing on request · 30-day trial | Free plan |
| Free plan | — | ✓ (best) |
| Free trial | 30 days | — |
| Deployment | Cloud, Self-hosted, Browser extension | Self-hosted |
| Platforms | Web, Linux | Windows, Linux |
| Support | Community, Docs | Community, Docs |
| Features MariaDB MaxScale 0/1 · PgBouncer 0/1 | ||
| Transaction pooling | Not checked yet | Not checked yet |
| Specs | ||
| Pooling modes | Not checked yet | Not checked yet |
| Deployment model | Both | Not checked yet |
| Supported databases | MariaDB Server, MySQL-compatible servers, ColumnStore, Enterprise Cluster, MongoDB protocol | PostgreSQL |
| Connection limit | Not checked yet | Not checked yet |
| Protocol support | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | MariaDB MaxScale sits between applications and backend databases as a database proxy, combining connection pooling with SQL-aware query routing. It is aimed at mid-market and enterprise teams running production MariaDB or MySQL-compatible… Read the review → |
PgBouncer is an open-source, self-hosted connection pooler for developers and database administrators operating PostgreSQL infrastructure. It accepts client connections and reuses connections to PostgreSQL servers, helping reduce the… Read the review → |
Strengths and trade-offs
MariaDB MaxScale — where it wins
- Combines backend connection pooling with SQL-aware read/write routing.
- Supports load balancing, automatic failover, connection migration and transaction replay.
- Offers GUI, REST API and command-line administration with MariaDB ecosystem integrations.
Where it doesn't
- Production use requires an enterprise subscription and contact with sales.
- Its focus is MariaDB and MySQL-compatible backends, not a general database proxy.
- Administration and routing capabilities may exceed the needs of simpler pooling setups.
PgBouncer — where it wins
- Offers session, transaction, and statement pooling modes
- Supports configurable authentication, TLS, and connection limits
- Includes backend host round-robin selection and an admin console
Where it doesn't
- Supports PostgreSQL only
- Does not provide internal failover-host configuration or detection
- Host balancing selects connection destinations, not SQL query routes
- MariaDB MaxScale9.3/10 · Pricing on request · 30-day trial
SQL-aware pooling and routing for MariaDB and MySQL-compatible production environments.
Visit MariaDBFull verdict → - PgBouncer8.9/10 · Free plan
A self-hosted PostgreSQL pooler with flexible modes and connection controls, but no built-in failover.
Visit PgBouncerFull verdict →
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- Odyssey vs PgBouncer
- PgBouncer vs Apache Commons DBCP
All database connection pooling software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
Last updated · How we research and update
