Head-to-head · Database Proxy Software
TurbineProxy vs PgDog
TurbineProxy leads on 0 checks, PgDog on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreTurbineProxy · 8.8/10
- Free planboth
TurbineProxy scores higher on our rubric for database proxy software: 8.8 against 8.4 out of 10; our editors rank them #4 and #8.
On deployment model, PgDog gives you Both where TurbineProxy offers Self-hosted.
TurbineProxy is the better fit for modern MySQL/PostgreSQL proxy teams. PgDog is the better fit for free PostgreSQL pooling and sharding.
- TurbineProxy fits best
Modern MySQL/PostgreSQL proxy teams
- PgDog fits best
Free PostgreSQL pooling and sharding
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Side by side
| Feature | TurbineProxy 8.8/10 Visit ↗ | PgDog 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.4 |
| Ranking | #4 in Database Proxy Software | #8 in Database Proxy Software |
| Best for | Modern MySQL/PostgreSQL proxy teams | Free PostgreSQL pooling and sharding |
| Pricing model | Free | Free |
| Starting price | Free plan | Free plan |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Self-hosted, Browser extension | Cloud, Self-hosted |
| Platforms | Web, Linux | Windows, macOS, Linux |
| Support | Docs | Email, Community, Docs |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features TurbineProxy 4/4 · PgDog 4/4 | ||
| Connection pooling | ✓ | ✓ |
| Query routing | ✓ | ✓ |
| Load balancing | ✓ | ✓ |
| Automatic failover | ✓ | ✓ |
| Specs | ||
| Deployment model | Self-hosted | Both |
| Supported databases | MySQL, PostgreSQL | PostgreSQL |
| Maximum connections | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | TurbineProxy is an open-source database proxy written in Rust for MySQL and PostgreSQL deployments. It sits between applications and database topologies, supporting standalone use and primary-replica arrangements. Its core audience is… Read the review → |
PgDog is an open-source PostgreSQL proxy for teams that need to manage connection capacity, distribute reads across replicas, or route traffic across sharded databases. Its scope covers transaction-mode connection pooling, connection… Read the review → |
Strengths and trade-offs
TurbineProxy — where it wins
- Combines pooling, query splitting, balancing, consistency, and failover
- Adds SQL injection protection, query allowlisting, TLS, and health monitoring
- Connects with Prometheus, Grafana, and developer AI tools
Where it doesn't
- Requires a self-hosted deployment model
- Supports MySQL and PostgreSQL rather than a broader database range
- Traffic routing and consistency controls may require careful configuration
PgDog — where it wins
- Free, open-source PostgreSQL connection pooling and multiplexing
- Combines routing, read/write splitting, lag monitoring, and sharding
- Runs on Windows, macOS, Linux, on-premises, or customer cloud accounts
Where it doesn't
- Supports PostgreSQL rather than multiple database engines
- Failover detection is disabled by default
- AGPLv3 licensing may not suit every deployment or distribution model
- TurbineProxy8.8/10 · Free plan
A self-hosted Rust proxy for pooling, routing, failover, consistency, and database visibility.
Visit TurbineProxyFull verdict → - PgDog8.4/10 · Free plan
A free PostgreSQL proxy with pooling, routing, replica balancing, and sharding.
Visit PgDogFull verdict →
TurbineProxy vs PgDog: questions
Which is better for database proxy software, TurbineProxy or PgDog?
TurbineProxy scores higher on our rubric for database proxy software: 8.8 against 8.4 out of 10; our editors rank them #4 and #8.
How do TurbineProxy and PgDog compare?
All 5 checks we put side by side come out level: neither leads on any.
Do TurbineProxy and PgDog have a free plan?
TurbineProxy: Yes. PgDog: Yes.
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All database proxy software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
Last updated · How we research and update




