Let me be blunt: if you’re still using Redux to manage API requests, you’re making your life harder than it needs to be.
Redux has had a legendary run. For years, it was the default state management choice for React apps. Many of us learned it early, shipped production apps with it, and defended it in code reviews. But here’s the part that often gets ignored: Redux was never designed to manage server state.
Yet somehow, it became the go-to tool for handling API requests, responses, loading states, caching, retries, and everything in between. And if you’ve ever felt like that setup is exhausting, frustrating, or unnecessarily complex, you’re not imagining things. It really is that bad.
The good news is that it doesn’t have to be this way. There’s a tool that actually understands server state, and that tool is React Query.
Why Redux Falls Apart With API Calls
Using Redux for request-response data feels a bit like forcing a tool to do a job it was never built for. Yes, it can work, but the friction is constant.
First, there’s the boilerplate. For a single API call, you define request, success, and failure action types. Then you write action creators. Then reducers. Then middleware like thunk or saga just to make async logic possible. After all that, you still have to manually track loading states, error states, caching behavior, and refetch logic in your UI.
All of this effort just to fetch data and display it.
Second, Redux has no concept of stale data. Server data changes over time, but Redux doesn’t know that. If you want fresh data, you have to explicitly tell it when to refetch. That means more logic for pagination, refetch-on-focus, refetch-on-mount, background updates, and avoiding duplicate requests. Miss one edge case, and suddenly your users are looking at outdated data.
Then there’s the bigger design issue: not all API data belongs in global state. Many API responses are temporary, screen-specific, or tied to a single user flow. Redux forces everything into a global store, which makes debugging harder and bloats your state with data that doesn’t need to live there long-term.
At some point, you step back and realize you’re fighting the tool instead of using it.
Where React Query Changes Everything
React Query flips the entire approach. Instead of treating server data like client state, it treats it as what it really is: data that comes from the server and needs to stay in sync with it.
There’s no boilerplate circus. You write a query, get your data, loading state, and errors from a hook, and move on. No actions. No reducers. No middleware. Just data.
Caching is automatic. React Query knows when data is fresh, when it’s stale, and when it should refetch. It updates data when users revisit a page, when the browser regains focus, or when a mutation changes something on the server. You don’t write extra logic for this. It just happens.
Mutations are where the difference really shows. Things like optimistic updates, retries, and error handling that are painful in Redux become straightforward. You describe what should happen, and React Query handles the mechanics.
The result is code that’s easier to read, easier to reason about, and far less fragile.
Does This Mean Redux Is Dead?
Not at all. Redux is still useful for client state. UI state, authentication state, feature flags, theme settings, and other global concerns still fit nicely there.
But server state is a different problem space. Treating it like client state is the mistake. Once you separate the two, things click into place very quickly.
The Takeaway
If you’re using Redux for API requests because “that’s how it’s always been done,” it might be time to reassess. There’s no prize for maintaining 500 lines of boilerplate just to fetch data.
React Query exists because this problem needed a better solution. Less code. Fewer bugs. Better performance. Saner defaults.
Your future self will appreciate the switch.
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