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Over-Fetching and Under-Fetching Data

7/10 High

Developers struggle to balance data retrieval efficiency. Requesting excessive data degrades performance, while requesting too little data causes multiple round trips to the server, impacting application speed and responsiveness.

Category
performance
Workaround
partial
Stage
debug
Freshness
persistent
Scope
single_lib
Recurring
Yes

Sources

Collection History

Query: “What are the most common pain points with GraphQL for developers in 2025?3/30/2026

Developers may unintentionally request excessive data, resulting in performance degradation. On the contrary, requesting too little data can lead to multiple round trips to the server, further impacting application speed and responsiveness.

Created: 3/30/2026Updated: 3/30/2026