Redux VS Mobx | Comparison – Which Is Better?

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In the case of application development that makes use of the component-based library, like ReactJs, every component manages one’s own local state, and the root component usually manages the application state.

Several components communicate with the state data and modify it before having it to send back to the server. Components may also manage their state through component life cycle methods. As the complexity of the application increases, the component state becomes unstable and it becomes a long process to debug these applications.

The state management systems such as Redux and MobX are used to transfer state from components as a stand-alone testable unit to prevent certain situations as well as provide methods for synchronizing application state with react components. When data comes directly from a common source, the logic of the application code becomes clearer.

State management is one of the most challenging issues to resolve in huge front-end applications. Although there are many techniques to address state management issues, Redux and MobX are 2 of the major external libraries used to fix state management in front-end applications.

We are assuming that you already have an initial understanding of how state management functions in your web application, let’s go ahead and learn about each one of them individually and then doing a Redux Vs MobX comparison.

What is Redux?

Redux is an open-source JavaScript library used for state management, popularly known to be used with libraries such as React or Angular for building user interfaces. It is a blend of Facebook’s Flux architecture and functional programming concepts influenced by the Elm programming language and was created by Dan Abramov and Andrew Clark.


Features/ Principles of Redux

  1. It has a single source of truth- It makes it simple to build universal applications, as the state of your server can be serialized and hydrated into the client without any additional programming attempt. A single state tree also makes things simpler to debug or review applications.
  2. It has a read-only state- This guarantees that neither the views nor the network callbacks are written directly to the state. Rather, they demonstrate a desire to change the state. Since all changes are centralized and happen one by one in a strict order, there are no hidden race factors that need to be identified.
  3. Pure functions are used to make the changes- Reducers are basically pure functions that return the next state after taking the previous state and an action. Always return new state objects rather than modifying the previous state. You could begin with a single reducer and, as your app evolves, break it into smaller reducers that handle unique sections of the state tree.

What is MobX?

MobX is a powerful library that makes state management easy and versatile by transparent functional reactive programming (TFRP). It is basically a state management solution that enables control of the local state inside your application.


Features of MobX

  1. Seamless optimal rendering- All changes and uses made around your data are monitored at runtime, creating a dependency tree that collects all relations between state and performance. This ensures that your state-dependent computations, such as the React components, run only when purely necessary. Components of error-prone and sub-optimal techniques such as memo and selectors should not be optimized manually.
  2. Architectural freedom- MobX is unopinionated and helps you to monitor your application state outside of any UI framework. This makes the code decoupled, portable, and most of all, easy to test.
  3. Easy to use- Write a simplified, and minimalist code that communicates your purpose. No specialized tools are needed, the reactivity system is capable of detecting all of your revisions and distribute them to where they are needed.

Redux VS MobX: A Comparison

We would like to provide you with the similarity between MobX and Redux before we delve into the comparison part and point out the differences.

Both libraries are used to monitor the state in JavaScript applications. They’re not usually connected to a library like React. They are also found in other libraries such as AngularJs and VueJs. But they combine well with the React concepts.

If you select one of the state management solutions, you won’t face a vendor lock-in. You can move to a different state management solution at any moment.

Redux is inspired by the concepts of functional programming (FP). FP can be performed in JavaScript, but a majority of folks come from an object-oriented setting, like Java, and have trouble following the concepts of functional programming, to begin with. That probably amounts later on why MobX could be easier to understand as a starter.

Since Redux supports functional programming, it uses pure functions. The function gets input, returns output, and does not have any other dependencies except pure functions. Pure function often generates the same output with the same input and has no side effects.

In contrast, Michel Weststrate’s MobX is inspired by object-oriented programming, as well as by reactive programming. It covers your state in observables. Therefore, in your state, you have all the attributes of Observable. The data may have simple setters and getters, but the observable allows updates to be retrieved after the data has changed.

Let us go ahead and learn more about Redux VS Mobx in a comprehensive manner

redux vs mobx

1. Learning

Redux requires a while to grasp its trends and concepts, it’s a mix of Flux architecture and functional programming principles. If you’re a functional programmer, you might find it simpler to comprehend Redux, while if you’re coming from an object-oriented programming background, the Redux code may initially look complicated and difficult to understand.

Understanding Redux also indicates you will have to learn more about Redux middleware like Thunk and Saga, which provides more content to acquire.

MobX is considered to be somewhat simple to interpret than Redux. Most JavaScript developers are very proficient in object-oriented programming, making the process of learning MobX quite easier.

Also, there have been a lot of things going on in the background in MobX, providing a better learning environment for the developers. You wouldn’t have to think about normalizing the state or implementing principles like Thunks. It also required less writing of the code because the abstraction is already built-in.

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2. Debugging

Redux offers great developer tools, including time travel. And with pure functions and less abstraction, the debugging process seems to provide a better experience than MobX. The flux paradigm makes Redux quite predictable.

In MobX, there is more abstraction making the process of debugging getting a lot difficult. And the existing MobX developer tools are also only mediocre. Results can sometimes become uncertain and difficult to predict.

3. Storage of Data

In Redux, you get access to just one store, and that is the only source of truth. The state of the store is immutable, which makes things simpler for us to figure out the data/state.

Also, while there is a massive JSON object that describes a store, you can still split the code into numerous reducers. You can logically separate the problems with multiple reducers in this way.

This seems to be a comprehensive technique for many developers, since they can only relate to a single store for the status of the application, and there is no risk of duplication or uncertainty as to the current state of the data.

MobX enables the usage of multiple stores. Here, you are allowed to logically separate stores, so the state of the application is not all in one store.

Most of the applications are planned to have at least 2 stores: one for the UI state and more than one for the domain state. The benefit of the separation of stores in this manner is that you can still reuse the domain in many other applications. And the UI store will be unique to the current app.

4. Data Structure

Redux uses basic JavaScript objects as a data structure to store the state, this allows the changes to be monitored manually. This can add a little bit of overhead when it gets to applications with complex states to handle and maintain.

MobX uses observable data to track changes seamlessly and automatically via subscriptions. Very obviously, automation makes things simpler for the developer. So, it’s no surprise that many find MobX to be an outright pick in this division as it is more convenient to use.

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5. Purity

The state in the store is immutable in Redux, which implies that all states are read-only. Actions in Redux can induce state changes, and reducers can substitute the previous state with a new state. This is one of the fundamental concepts of Redux.

Below is an example of what a pure function looks like:

function sumOfNumbers(a, b) {
return a + b;

The function often returns the very same output, provided the same input.

The Redux functions are composed in this manner. Reducers are pure functions that accept a state and action returning a new state.

function(state, action) => newState

This is what makes Redux pure.

In MobX, the state is mutable, which indicates that you can easily update the state with new values making MobX impure. Impure functions are difficult to test and manage because it creates a possibility of returning outputs that are unpredictable.

Because the Redux store is all pure, it makes it predictable, and it’s simple to revert state updates. In the case of MobX, if not done correctly, state changes could make the debugging process more difficult.

Key Takeaways

The Redux library is somehow very limited. A lot of the time, you’re just working with basic JavaScript objects and arrays. In MobX, the objects and arrays are wrapped in observable objects that conceal much of the boilerplate. It develops on hidden abstractions. It’s simpler to deal with plain JavaScript in Redux. It makes it quite simpler to test and debug the application.

In comparison, one would have to think again about where we come from in single-page applications. A couple of single-page application frameworks and libraries had the same state management issues that were ultimately overcome by the overarching flux pattern and Redux is the successor to the pattern.

Now in the case of MobX, it appears to go in the opposite direction. Once more, we begin to explicitly mutate the state without reaping the benefits of functional programming. Some individuals feel connected to two-way data binding again. Pretty quickly, individuals may face similar challenges again before a state management library like Redux was implemented. The state management is spread around the components and ends up in chaos.

MobX is less opinionated. But it will be appropriate to follow the best practices in MobX. Individuals ought to know how to structure state management in order to strengthen their logic about it. Or else, people prefer to directly mutate state into components.

To conclude the comparison of Redux Vs MobX, both the libraries are amazing. Although Redux is very renowned, MobX has become a suitable option for state management.

MobX is a battle-tested library that makes state management simple and scalable by transparently applying functional reactive programming. MobX treats your application like a spreadsheet.

There are a lot of benefits of Redux, some of which are: predictable state updates allow us to better understand how the data flow functions in the application. Using “pure” reducer functions allows the logic easier to test and allows useful features such as “time-travel debugging.”

Yes, MobX can follow the Flux framework and yes it allows scalability but it’s defining power comes from it’s reactive nature.

Your application may still work pretty nicely without Redux. One primary advantage of Redux is to add direction to decouple “what happened” from “how things change.” However, you should only implement Redux if you determine your project needs a state management tool.

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