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These benchmarks look terrible for React...

Dive into the surprising truths about React's performance in server-side rendering benchmarks and discover why initial results may not tell the full story.

Theo - t3․ggTheo - t3․ggOctober 30, 2024

This article was AI-generated based on this episode

What were the initial SSR benchmark results?

Initial SSR benchmarks showed surprising results. Here's a summary:

  • Fastify outperformed many, generating HTML pages swiftly.
  • React and Svelte, known for their robust capabilities, lagged behind significantly.
  • Svelte was unexpectedly near the bottom, raising questions about its performance.
  • Vue and Solid delivered better than anticipated, placing above some well-known libraries.

These findings initially led to doubts about the efficiency of popular frameworks like React and Svelte compared to Fastify.

Why were the initial SSR benchmarks misleading?

The initial SSR benchmarks faced several errors, making the results unreliable.

Firstly, the implementation for Svelte was incorrect. It involved unnecessary operations, impacting its performance. For example, it copied arrays for no valid reason, which was later corrected with a simple adjustment — changing the array creation method.

Similarly, React was benchmarked in development mode. This oversight significantly slowed down its performance. Switching to production mode greatly improved its speed.

These simple but crucial adjustments changed the outcomes, highlighting the necessity for precise benchmarking methods.

How were the SSR benchmarks corrected?

Corrections to the SSR benchmarks significantly improved the results. Here's what was done:

  • Svelte Implementation: The initial setup for Svelte involved superfluous tasks like unnecessary array copying. A simple fix involved modifying the way arrays were created, boosting its performance.

  • React in Production Mode: Originally, React ran in development mode, which impeded its speed. Switching to production mode resulted in a substantial increase in performance.

  • Hydration Adjustment in Solid: Changes were made to turn off hydration, allowing Solid to render the correct HTML faster.

These adjustments illuminated the necessity of accurate benchmarking practices and brought the frameworks’ performances into a more competitive light.

What do the corrected SSR benchmarks reveal?

The amended SSR benchmarks paint a more accurate picture of performance across JavaScript frameworks.

  • Competitive Performance: React, Svelte, and others showcased speeds closer to Fastify than previously thought.

  • Vue proved itself with a surprisingly high ranking, performing exceptionally well in server-side rendering.

  • Svelte 5 and Solid demonstrated remarkable capabilities, rivaling the swift speeds of Fastify.

These results underline the efficiency of modern frameworks, emphasizing that initial discrepancies were rooted in benchmarking misunderstandings. Fastify still excels, but popular frameworks are not far behind. The corrected data reinstates React and Svelte as strong contenders in SSR performance comparisons.

What lessons can we learn from these benchmarks?

The recent benchmarks underscore the significance of accurate setups for performance comparisons. Mistakes, like running React in development mode, can skew results, hiding the true capabilities of frameworks. Accurate benchmarking is pivotal for developers evaluating tools for server-side rendering.

Choosing the right framework can dramatically affect web app performance. As frameworks evolve, keeping up with the latest versions is crucial. Understanding performance metrics allows informed decision-making, ensuring that both speed and features align with project needs.

“Accurate benchmarking is not just about numbers; it's about eliminating biases and ensuring fair comparisons,” notes performance expert Matteo.

Inaccuracies in benchmarks highlight the delicate nature of technical assessments. Developers must remain vigilant, especially when comparing different technologies like in the React SSR performance comparison. Choosing a front-end stack should involve analyzing both corrected benchmarks and the specific requirements of your project.

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