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gRPC VS graphql.js

Compare gRPC VS graphql.js and see what are their differences

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gRPC logo gRPC

Application and Data, Languages & Frameworks, Remote Procedure Call (RPC), and Service Discovery

graphql.js logo graphql.js

A reference implementation of GraphQL for JavaScript - graphql/graphql-js
  • gRPC Landing page
    Landing page //
    2024-05-27
  • graphql.js Landing page
    Landing page //
    2023-08-27

gRPC features and specs

  • Performance
    gRPC uses Protocol Buffers, which are more efficient in terms of serialization and deserialization compared to text-based formats like JSON. This leads to lower CPU usage and faster transmission, making it suitable for high-performance applications.
  • Bi-directional Streaming
    gRPC supports bi-directional streaming, enabling both client and server to send a series of messages through a single connection. This is particularly useful for real-time communication applications.
  • Strongly Typed APIs
    gRPC uses Protocol Buffers for defining service methods and message types, providing a strong type system that can catch potential issues at compile-time rather than runtime.
  • Cross-language Support
    gRPC supports a wide range of programming languages, including but not limited to Java, C++, Python, Go, and C#. This allows for flexible integration in polyglot environments.
  • Built-in Deadlines/Timeouts
    gRPC natively supports deadlines and timeouts to help manage long-running calls and avoid indefinite blocking, improving robustness and reliability.
  • Automatic Code Generation
    gRPC provides tools for automatic code generation from .proto files, reducing boilerplate code and speeding up the development process.

Possible disadvantages of gRPC

  • Learning Curve
    The complexity of gRPC and Protocol Buffers may present a steep learning curve for developers who are not familiar with these technologies.
  • Limited Browser Support
    gRPC was not originally designed with browser support in mind, making it challenging to directly call gRPC services from web applications without additional tools like gRPC-Web.
  • Verbose Configuration
    Setting up gRPC and defining .proto files can be more verbose compared to simpler RESTful APIs, which might be a deterrent for smaller projects.
  • HTTP/2 Requirement
    gRPC relies on HTTP/2 for transport, which can be problematic in environments where HTTP/2 is not supported or requires additional configuration.
  • Limited Monitoring and Debugging Tools
    Compared to REST, there are fewer tools available for monitoring, debugging, and testing gRPC services, which might complicate troubleshooting and performance tuning.
  • Protobuf Ecosystem Requirement
    Depending on the language, integrating Protocol Buffers might require additional dependencies and tooling, which could add to the maintenance overhead.

graphql.js features and specs

  • Strongly Typed
    GraphQL.js allows for strongly typed schemas, making it easier to perform validation and introspection on your data, ensuring that queries conform to a specific structure before execution.
  • Efficient Data Fetching
    GraphQL.js enables clients to request exactly the data they need which can reduce over-fetching and under-fetching compared to REST APIs.
  • Rich Developer Tooling
    The introspection capabilities in GraphQL.js allow for rich tooling, enabling better development workflows including robust IDE support and tools like GraphiQL.
  • Evolving APIs
    GraphQL.js facilitates evolving APIs without the need for versioning, providing backward compatibility by introducing non-breaking changes.
  • Community Support
    GraphQL.js has a large and active community, providing numerous resources, plugins, and tools that support smooth development processes.

Possible disadvantages of graphql.js

  • Complexity
    Implementing GraphQL.js can add complexity to projects as developers may need to learn new concepts such as schemas, resolvers, and query languages.
  • Overhead
    The flexibility of GraphQL.js can introduce performance overhead, as the server may need to parse and execute more complex and dynamic queries.
  • Cache Invalidation
    Caching strategies for GraphQL.js can be more complex compared to REST, as caching needs to account for the structure and specifics of the queries requested.
  • Over-fetching Risks
    While GraphQL.js mitigates data over-fetching, it can also expose sensitive data if developers are not meticulous in specifying and controlling the schema and access permissions.
  • Debugging Complexity
    Debugging runtime errors in GraphQL.js can sometimes be more difficult, especially with deeply nested queries and complex resolvers.

gRPC videos

gRPC, Protobufs and Go... OH MY! An introduction to building client/server systems with gRPC

More videos:

  • Review - gRPC with Mark Rendle
  • Review - GraphQL, gRPC or REST? Resolving the API Developer's Dilemma - Rob Crowley - NDC Oslo 2020
  • Review - Taking Full Advantage of gRPC
  • Review - gRPC Web: It’s All About Communication by Alex Borysov & Yevgen Golubenko
  • Review - tRPC, gRPC, GraphQL or REST: when to use what?

graphql.js videos

No graphql.js videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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Web Servers
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Project Management
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100% 100
Developer Tools
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Development
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare gRPC and graphql.js

gRPC Reviews

SignalR Alternatives
SignalR is basically used to allow connection between client and server or vice-versa. It is a type of bi-directional communication between both the client and server. SignalR is compatible with web sockets and many other connections, which help in the direct push of content over the server. There are many alternatives for signalR that are used, like Firebase, pusher,...
Source: www.educba.com

graphql.js Reviews

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Social recommendations and mentions

Based on our record, gRPC seems to be a lot more popular than graphql.js. While we know about 96 links to gRPC, we've tracked only 8 mentions of graphql.js. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

gRPC mentions (96)

  • Getting Started With gRPC in Golang
    gRPC is a framework for building fast, scalable APIs, especially in distributed systems like microservices. - Source: dev.to / about 1 month ago
  • Should You Ditch REST for gRPC?
    Recently, I started working on extending the support for gRPC in GoFr, a microservices oriented, Golang framework also listed in CNCF Landscape. As I was diving into this, I thought it would be a great opportunity to share my findings through a detailed article. - Source: dev.to / 3 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Apache Arrow Flight RPC : Arrow Flight is an RPC framework for high-performance data services based on Arrow data, and is built on top of gRPC and the IPC format. - Source: dev.to / 5 months ago
  • JSON vs FlatBuffers vs Protocol Buffers
    Generally used in conjunction with gRPC (but not necessarily), Protobuf is a binary protocol that significantly increases performance compared to the text format of JSON. But it "suffers" from the same problem as JSON: we need to parse it to a data structure of our language. For example, in Go:. - Source: dev.to / 9 months ago
  • Performance and Scalability for Database-Backed Applications
    We can take the previously mentioned idea of partitioning the database further by breaking up an application into multiple applications, each with its own database. In this case each application will communicate with the others via something like REST, RPC (e.g. gRPC), or a message queue (e.g. Redis, Kafka, or RabbitMQ). - Source: dev.to / 11 months ago
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graphql.js mentions (8)

  • Diving into Open-Source Development
    To begin, I'm going to start with GraphQL. This repo is a JS-specific implementation for GraphQL, for which projects written in JS/TS can utilize to build an API for their web app. The reason why I chose this project is because I've always been intrigued by how GraphQl challenges the standard way of building an API, a.k.a REST APIs. I have very little knowledge about this project since I've never used it before at... - Source: dev.to / over 1 year ago
  • How to define schema once and have server code and client code typed? [Typescript]
    When I asked this in StackOverflow over a year ago I reached the solution of using graphql + graphql-zeus. Source: almost 2 years ago
  • Apollo federated graph is not presenting its schema to graphiql with fields sorted lexicographically
    GraphiQL (and many other tools) relies on introspection query which AFAIK is not guaranteed to have any specific order (and many libs don't support it). Apollo Server is built on top of graphql-js and it relies on it for this functionality. Source: over 2 years ago
  • How (Not) To Build Your Own GraphQL Server
    Defining your schema and the resolvers simultaneously led to some issues for developers, as it was hard to decouple the schema from the (business) logic in your resolvers. The SDL-first approach introduced this separation of concerns by defining the complete schema before connecting them to the resolvers and making this schema executable. A version of the SDL-first approach was introduced together with GraphQL... - Source: dev.to / over 3 years ago
  • three ways to deploy a serverless graphQL API
    Graphql-yoga is built on other packages that provide functionality required for building a GraphQL server such as web server frameworks like express and apollo-server, GraphQL subscriptions with graphql-subscriptions and subscriptions-transport-ws, GraphQL engine & schema helpers including graphql.js and graphql-tools, and an interactive GraphQL IDE with graphql-playground. - Source: dev.to / over 3 years ago
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What are some alternatives?

When comparing gRPC and graphql.js, you can also consider the following products

Apache Thrift - An interface definition language and communication protocol for creating cross-language services.

JsonAPI - Application and Data, Languages & Frameworks, and Query Languages

GraphQL - GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.

Apollo - Apollo is a full project management and contact tracking application.

Eureka - Eureka is a contact center and enterprise performance through speech analytics that immediately reveals insights from automated analysis of communications including calls, chat, email, texts, social media, surveys and more.

OData - OData, short for Open Data Protocol, is an open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way.