Why isn't OData as popular as GraphQL?

 OData and GraphQL serve different purposes and have different design principles, which contribute to the difference in their popularity.

GraphQL gained popularity due to its flexibility and efficiency in fetching and manipulating data in client-server interactions. It allows clients to specify precisely the data they need, reducing over-fetching and under-fetching issues. GraphQL also provides a strong type system, introspection, and a single endpoint for queries, mutations, and subscriptions.

On the other hand, OData is more focused on providing a standardized protocol for data integration and interoperability between systems. It offers features like data querying, filtering, sorting, and pagination with a uniform interface. However, OData may have a steeper learning curve, more complex setup, and limited adoption in certain ecosystems.

Ultimately, the choice between OData and GraphQL depends on specific project requirements and ecosystem preferences.

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