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Latency vs throughput

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Latency and throughput are important performance measures for systems that process data or handle requests.

Latency refers to the amount of time it takes for a system to respond to a request or complete a task. It is a measure of how quickly the system can process a single request. In general, lower latency is better because it means that the system is able to respond more quickly to requests.

Throughput, on the other hand, refers to the amount of data or the number of requests that a system can handle in a given period of time. It is a measure of how much work the system can do in a given amount of time. In general, higher throughput is better because it means that the system is able to handle more requests or process more data in a given period of time.

Both latency and throughput are important considerations when designing or evaluating systems, and the relative importance of each will depend on the specific requirements and use case of the system. For example, a system that processes real-time transactions (such as a financial trading platform) may prioritize low latency, while a system that processes large amounts of data (such as a data warehouse) may prioritize high throughput.