What’s the Fastest React Data Grid? Let’s Find Out (Benchmarks)
Web development has changed a lot. We have LLMs, AI-assisted coding, etc. But some things remain the same: architecture and performance . And one of the classic problems in many applications is presenting large amounts of data, which eventually leads to choosing the right data grid. I've always been surprised by how quickly this happens. You start working on a seemingly simple application, and a…
React data grids have become essential for presenting large datasets in web applications. With numerous options available, developers often struggle to determine which grid is the most efficient. This article compares six popular React data grids, including LyteNyte Grid developed by 1771 Technologies, against their performance in various scenarios.
LyteNyte Grid emerged as the fastest, maintaining approximately 60 FPS even with datasets reaching one million rows. This performance advantage was particularly evident in scrolling operations, where LyteNyte consistently outperformed other grids. Other grids, such as Material React Table, struggled with scrolling performance at larger scales, dropping to 33 FPS at one million rows.
Sorting and filtering operations posed a greater challenge for all grids. While no grid maintained 60 FPS across all sorting scenarios, LyteNyte consistently delivered the highest performance at every tested dataset size. Similarly, filtering performance was competitive for LyteNyte, with AG Grid closely following. MUI, however, trailed significantly as the dataset size increased.
Real-world scenarios, such as pinned rows and columns, horizontal scrolling, and full dataset updates, also showcased LyteNyte's superior performance. With pinned content, LyteNyte achieved 58 FPS, while AG Grid and MUI followed closely at 57 FPS and 55 FPS, respectively. When it came to full dataset replacement, LyteNyte's performance of 51 FPS was notably higher than AG Grid's 39 FPS and MUI's 22 FPS.
While vendor benchmarks should be taken with a grain of skepticism, LyteNyte Technologies has made their benchmark suite open source, allowing developers to inspect the methodology and reproduce the results themselves. The authors of the benchmark encourage others to run their own tests to draw their own conclusions. Ultimately, the choice of a data grid should be based on a thorough evaluation of performance and suitability for the specific application requirements.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
