Software Alternatives & Reviews

NATS VS GraphQL

Compare NATS VS GraphQL and see what are their differences

NATS logo NATS

NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.

GraphQL logo GraphQL

GraphQL is a data query language and runtime to request and deliver data to mobile and web apps.
  • NATS Landing page
    Landing page //
    2023-01-05

NATS.io is a connective technology for distributed systems and is a perfect fit to connect devices, edge, cloud or hybrid deployments. True multi-tenancy makes NATS ideal for SaaS and self-healing and scaling technology allows for topology changes anytime with zero downtime.

  • GraphQL Landing page
    Landing page //
    2023-08-01

NATS videos

The coolest OSS project you've never heard of: NATS Getting started!

GraphQL videos

REST vs. GraphQL: Critical Look

More videos:

  • Review - REST vs GraphQL - What's the best kind of API?
  • Review - What Is GraphQL?

Category Popularity

0-100% (relative to NATS and GraphQL)
Developer Tools
32 32%
68% 68
Data Integration
100 100%
0% 0
Javascript UI Libraries
0 0%
100% 100
App Development
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NATS and GraphQL

NATS Reviews

Best message queue for cloud-native apps
NATS is designed to be simple and easy to use, with a small footprint and low latency. It is often used in cloud-native environments to connect different components of a distributed system or to enable communication between microservices. NATS also supports message persistence, security, and clustering, making it a robust messaging system for building scalable and resilient...
Source: docs.vanus.ai
Are Free, Open-Source Message Queues Right For You?
One challenge of NATS is that it does not support reliable message queuing out of the box - messages can be lost if a client disconnects before it receives them. This can be mitigated by using NATS Streaming, a data streaming system powered by NATS, but it adds complexity.
Source: blog.iron.io
NATS vs RabbitMQ vs NSQ vs Kafka | Gcore
NATS is known for its high performance, low latency, and emphasis on simplicity after it was rewritten in Go. Its rewrite in Go makes NATS an ideal choice for demanding and real-time applications and has increased its throughput compared to its original Ruby implementation.
Source: gcore.com

GraphQL Reviews

We have no reviews of GraphQL yet.
Be the first one to post

Social recommendations and mentions

Based on our record, GraphQL should be more popular than NATS. It has been mentiond 223 times since March 2021. 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.

NATS mentions (63)

  • Implementing OTel Trace Context Propagation Through Message Brokers with Go
    Several message brokers, such as NATS and database queues, are not supported by OpenTelemetry (OTel) SDKs. This article will guide you on how to use context propagation explicitly with these message queues. - Source: dev.to / about 1 month ago
  • NATS: First Impressions
    Https://nats.io/ (Tracker removed) > Connective Technology for Adaptive Edge & Distributed Systems > An Introduction to NATS - The first screencast I guess I don't need to know what it is. - Source: Hacker News / about 1 month ago
  • Sequential and parallel execution of long-running shell commands
    Pueue dumps the state of the queue to the disk as JSON every time the state changes, so when you have a lot of queued jobs this results in considerable disk io. I actually changed it to compress the state file via zstd which helped quite a bit but then eventually just moved on to running NATS [1] locally. [1] https://nats.io/. - Source: Hacker News / about 2 months ago
  • Interview with Sebastian Holstein, Founder of Qaze
    During our interview, we referred to NATS quite a few times! If you want to learn more about it, Sebastian suggests this tutorial series. - Source: dev.to / about 1 month ago
  • Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
    Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance... - Source: dev.to / 3 months ago
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GraphQL mentions (223)

  • Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
    GraphQL is a query language and runtime for APIs. It provides a flexible and efficient way for clients to request and retrieve specific data from a server using a single API endpoint. - Source: dev.to / 24 days ago
  • Type-Safe Fetch with Next.js, Strapi, and OpenAPI
    When you use technologies like GraphQL, it is trivial to derive TypeScript types. A GraphQL API is created by implementing a schema. Generating the TypeScript type definitions from this schema is simple, and you do not have to do any more work than just making the GraphQL API. This is one reason why I like GraphQL so much. - Source: dev.to / about 1 month ago
  • REST vs. GraphQL: A Detailed Comparison of API Architectures for Developers
    REST and GraphQL have advantages, drawbacks, and use cases for different environments. REST is for simple logic and a more structured architecture, while GraphQL is for a more tailored response and flexible request. - Source: dev.to / about 1 month ago
  • Gatsby tutorial: Build a static site with a headless CMS
    A Gatsby site uses Gatsby, which leverages React and GraphQL to create fast and optimized web experiences. Gatsby is often used for building static websites, progressive web apps (PWAs), and even full-blown dynamic web applications. - Source: dev.to / about 1 month ago
  • Rust GraphQL APIs for NodeJS Developers: Introduction
    In my usual NodeJS tech stack, which includes GraphQL, NestJS, SQL (predominantly PostgreSQL with MikroORM), I encountered these limitations. To overcome them, I've developed a new stack utilizing Rust, which still offers some ease of development:. - Source: dev.to / 7 months ago
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What are some alternatives?

When comparing NATS and GraphQL, you can also consider the following products

Socket.io - Realtime application framework (Node.JS server)

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

Pusher - Pusher is a hosted API for quickly, easily and securely adding scalable realtime functionality via WebSockets to web and mobile apps.

Next.js - A small framework for server-rendered universal JavaScript apps

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

React - A JavaScript library for building user interfaces