PrimeNG Table: Client-side vs Server-side Pagination for High-Volume Datasets

When implementing a p-table for datasets that may scale from a few hundred to several thousand records, there is a trade-off between initial load latency and per-page interaction speed.

Client-side pagination loads the entire dataset into browser memory, enabling instantaneous transitions. However, this approach risks UI freezing or heap memory exhaustion as the record count grows. Conversely, utilizing the lazy property shifts the data retrieval to the onLazyLoad event, reducing the initial payload but introducing network latency for every page change.

Given a requirement for consistent performance across varying dataset sizes, which approach provides the best balance of stability and responsiveness?

• Under what specific row-count threshold does client-side pagination typically degrade browser performance?
• Does the lazy implementation introduce significant overhead in state synchronization compared to the standard paginator?