GraphQL doesn't solve under & overfetching, Relay & WunderGraph does

๐Ÿ“ฐ Dev.to ยท Stefan ๐Ÿš€

Learn how Relay and WunderGraph solve under and overfetching issues that GraphQL alone can't, and why it matters for efficient data fetching

intermediate Published 18 May 2023
Action Steps
  1. Use Relay to implement automatic persisted queries and reduce overfetching
  2. Configure WunderGraph to use caching and deduplication to minimize underfetching
  3. Compare the performance of REST, GraphQL, and Relay/WunderGraph to determine the best approach for your application
  4. Implement pagination and filtering using Relay and WunderGraph to further optimize data fetching
  5. Test and measure the impact of under and overfetching on your application's performance
Who Needs to Know This

Backend developers and engineers who work with GraphQL and need to optimize data fetching will benefit from this article, as it provides solutions to common problems

Key Insight

๐Ÿ’ก Relay and WunderGraph provide additional features to solve under and overfetching issues that GraphQL alone can't

Share This
๐Ÿš€ Did you know GraphQL alone can't solve under & overfetching? Learn how Relay & WunderGraph can help! #GraphQL #Relay #WunderGraph

Key Takeaways

Learn how Relay and WunderGraph solve under and overfetching issues that GraphQL alone can't, and why it matters for efficient data fetching

Full Article

When you look at positive articles about GraphQL, you often hear how much better it is than REST and...
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