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February 11, 2026 · 1 min read

How do you approach data fetching strategies in GraphQL, especially when dealing with databases to ensure performance and avoid over-fetching or under-fetching data?

I prioritize using a batching strategy like DataLoader to minimize the number of database calls, which helps reduce over-fetching. Additionally, I ensure that my GraphQL schema is well-designed to only…

Debasis Bhattacharjee

SOFTWARE_ARCHITECT // AI_ENGINEER

📅 Feb 11, 2026 ⏱ 1 min read

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How do you approach data fetching strategies in GraphQL, especially when dealing with databases to ensure performance and avoid over-fetching or under-fetching data?

COVER // HOW DO YOU APPROACH DATA FETCHING STRATEGIES IN GRAPHQL, ESPECIALLY WHEN DEALING WITH DATABASES TO ENSURE PERFORMANCE AND AVOID OVER-FETCHING OR UNDER-FETCHING DATA?

I prioritize using a batching strategy like DataLoader to minimize the number of database calls, which helps reduce over-fetching. Additionally, I ensure that my GraphQL schema is well-designed to only request necessary fields and use fragments for shared fields across queries.

caching dataloader graphql performance

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