PostgreSQL Glossary

TPS (Transactions Per Second)

A key performance metric measuring the number of database transactions completed per second. Example: Vela achieves 290,000 TPS for read workloads, signif…

Definition

A key performance metric measuring the number of database transactions completed per second.

What TPS (Transactions Per Second) Means in PostgreSQL

A key performance metric measuring the number of database transactions completed per second.

TPS (Transactions Per Second) appears frequently in production operations, architecture decisions, and troubleshooting workflows. Understanding this term helps teams reason about reliability, performance, and safe change management.

Why TPS (Transactions Per Second) Matters

Teams that understand TPS (Transactions Per Second) can make better decisions on database design, incident response, and release safety.

In modern PostgreSQL environments, this concept often connects directly to backup strategy, performance tuning, and operational confidence.

  • Improves decision quality for production operations
  • Reduces avoidable troubleshooting time
  • Strengthens reliability and recovery planning

Practical Example

Vela achieves 290,000 TPS for read workloads, significantly outperforming traditional cloud databases.

Where To Learn More

You can explore deeper implementation patterns in the Vela articles library, review platform workflows in How Vela Works, and compare approaches in our PostgreSQL comparisons.

Frequently Asked Questions

What is TPS (Transactions Per Second) in PostgreSQL?
A key performance metric measuring the number of database transactions completed per second.
Why is TPS (Transactions Per Second) important?
TPS (Transactions Per Second) matters because it directly affects how teams build, operate, and recover PostgreSQL systems in production.
Can you give a practical TPS (Transactions Per Second) example?
Vela achieves 290,000 TPS for read workloads, significantly outperforming traditional cloud databases.
How does TPS (Transactions Per Second) relate to backup, recovery, or performance?
In most production deployments, TPS (Transactions Per Second) influences one or more of these areas: data safety, restore behavior, and performance under load.
What should teams check first when implementing TPS (Transactions Per Second)?
Start with clear operational goals, test in a non-production environment, and validate behavior with repeatable runbooks before relying on it in production.