GraphQL Cache vs MobX

Overview

MobX

Stacks847

Followers516

Votes114

GitHub Stars28.1K

Forks1.8K

GraphQL Cache

Stacks23

Followers38

Votes0

GitHub Stars330

Forks27

GraphQL Cache vs MobX: What are the differences?

Introduction: In this Markdown code, we will discuss the key differences between GraphQL Cache and MobX.

Flexibility and Structure: GraphQL Cache provides a flexible and structured way to manage data, allowing developers to define specific queries for retrieving data. On the other hand, MobX focuses on providing a reactive state management solution with the use of observables, where changes to the observables trigger re-rendering.
Server-side Optimization: GraphQL Cache optimizes network requests by allowing clients to specify which data they need, reducing the amount of network traffic. MobX, on the other hand, does not have built-in server-side optimization. It relies on client-side caching techniques to improve performance.
Data Fetching Approach: GraphQL Cache follows a declarative approach where the client specifies the data requirements and the server responds with only the requested data. In contrast, MobX takes an imperative approach where the client directly manipulates and retrieves data from observable state objects.
Query Language: GraphQL Cache utilizes the GraphQL query language, which provides a typed and structured way to define complex queries and retrieve data efficiently. MobX does not have a query language but instead relies on JavaScript syntax to retrieve data from observables.
Scalability: GraphQL Cache is highly scalable as it allows clients to request only the specific data they need, giving developers more control over the data flow. This reduces the chances of over-fetching or under-fetching data. MobX provides reactive state management but may require additional measures to handle scalability efficiently.
Integration with Existing Systems: GraphQL Cache can be easily integrated into existing systems by layering it on top of existing APIs, allowing gradual adoption. MobX is typically used as a client-side state management solution and may require more extensive modifications to integrated systems.

In Summary, GraphQL Cache offers flexibility, server-side optimization, a declarative data fetching approach, a query language, scalability, and easy integration with existing systems, while MobX provides a reactive state management solution with an imperative data fetching approach but lacks server-side optimization and a query language.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

MobX	GraphQL Cache
MobX is a battle tested library that makes state management simple and scalable by transparently applying functional reactive programming (TFRP). React and MobX together are a powerful combination. React renders the application state by providing mechanisms to translate it into a tree of renderable components. MobX provides the mechanism to store and update the application state that React then uses.	A custom middleware for graphql-ruby that handles key construction and cache reads/writes transparently.
-	Open source;
Statistics
GitHub Stars 28.1K	GitHub Stars 330
GitHub Forks 1.8K	GitHub Forks 27
Stacks 847	Stacks 23
Followers 516	Followers 38
Votes 114	Votes 0
Pros & Cons
Pros 26 It's just stupidly simple, yet so magical 18 Easier and cleaner than Redux 15 Fast 13 React integration 13 Automagic updates Cons 1 Maturity	No community feedback yet
Integrations
React	GraphQL Ruby Ruby GraphQL

What are some alternatives to MobX, GraphQL Cache?

Redux

It helps you write applications that behave consistently, run in different environments (client, server, and native), and are easy to test. t provides a great experience, such as live code editing combined with a time traveling debugger.

Zustand

Small, fast and scaleable bearbones state-management solution. Has a comfy api based on hooks, that isn't boilerplatey or opinionated, but still just enough to be explicit and flux-like.

Effector

It is an effective multi-store state manager for Javascript apps, that allows you to manage data in complex applications.

redux-saga

An alternative side effect model for Redux apps

vuex

Vuex is a state management pattern + library for Vue.js applications. It serves as a centralized store for all the components in an application, with rules ensuring that the state can only be mutated in a predictable fashion. It also integrates with Vue's official devtools extension to provide advanced features such as zero-config time-travel debugging and state snapshot export / import.

redux-thunk

Redux Thunk middleware allows you to write action creators that return a function instead of an action. The thunk can be used to delay the dispatch of an action, or to dispatch only if a certain condition is met. The inner function receives the store methods dispatch and getState as parameters.

Ehcache

Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.

Unstated

State so simple, it goes without saying

reselect

Simple “selector” library for Redux (and others) inspired by getters in NuclearJS, subscriptions in re-frame and this proposal from speedskater.

Redux Observable

It allows developers to dispatch a function that returns an observable, promise or iterable of action(s). Compose and cancel async actions to create side effects and more.

Related Comparisons

GraphQL Cache vs MobX: What are the differences?

Introduction: In this Markdown code, we will discuss the key differences between GraphQL Cache and MobX.

Flexibility and Structure: GraphQL Cache provides a flexible and structured way to manage data, allowing developers to define specific queries for retrieving data. On the other hand, MobX focuses on providing a reactive state management solution with the use of observables, where changes to the observables trigger re-rendering.
Server-side Optimization: GraphQL Cache optimizes network requests by allowing clients to specify which data they need, reducing the amount of network traffic. MobX, on the other hand, does not have built-in server-side optimization. It relies on client-side caching techniques to improve performance.
Data Fetching Approach: GraphQL Cache follows a declarative approach where the client specifies the data requirements and the server responds with only the requested data. In contrast, MobX takes an imperative approach where the client directly manipulates and retrieves data from observable state objects.
Query Language: GraphQL Cache utilizes the GraphQL query language, which provides a typed and structured way to define complex queries and retrieve data efficiently. MobX does not have a query language but instead relies on JavaScript syntax to retrieve data from observables.
Scalability: GraphQL Cache is highly scalable as it allows clients to request only the specific data they need, giving developers more control over the data flow. This reduces the chances of over-fetching or under-fetching data. MobX provides reactive state management but may require additional measures to handle scalability efficiently.
Integration with Existing Systems: GraphQL Cache can be easily integrated into existing systems by layering it on top of existing APIs, allowing gradual adoption. MobX is typically used as a client-side state management solution and may require more extensive modifications to integrated systems.

GraphQL Cache vs MobX

Overview