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  1. Stackups
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  5. GraphQL Mesh vs Serverless AppSync

GraphQL Mesh vs Serverless AppSync

OverviewComparisonAlternatives

Overview

Serverless AppSync
Serverless AppSync
Stacks202
Followers38
Votes0
GitHub Stars261
Forks15
GraphQL Mesh
GraphQL Mesh
Stacks8
Followers22
Votes0

GraphQL Mesh vs Serverless AppSync: What are the differences?

Introduction

In this Markdown code, we will discuss the key differences between GraphQL Mesh and Serverless AppSync. Both GraphQL Mesh and Serverless AppSync are tools that are used in building GraphQL APIs, but they have significant differences in terms of flexibility, deployment, and integration capabilities.

  1. Flexibility: GraphQL Mesh allows developers to create a schema by combining various data sources such as APIs, databases, and services. It provides a flexible approach to fetch data from different sources and merge them into a single GraphQL endpoint. On the other hand, Serverless AppSync is a fully-managed GraphQL service provided by AWS, which simplifies backend configuration but may have limitations on data source integration.

  2. Deployment: GraphQL Mesh can be deployed in various environments, including serverless functions, containers, and traditional server setups. It offers more deployment options and can be used in different architectures. In contrast, Serverless AppSync is mainly designed for serverless deployments on AWS Lambda, making it more suitable for serverless architectures.

  3. Integration: GraphQL Mesh supports integration with various data sources and services, including REST APIs, GraphQL APIs, SQL/NoSQL databases, and more. It provides a way to unify data access from multiple systems through a single GraphQL schema. On the other hand, Serverless AppSync provides tight integration with other AWS services, such as DynamoDB, Lambda, and Aurora. It leverages AWS infrastructure and services for seamless data management and operations.

  4. Customization: GraphQL Mesh allows developers to customize the schema and resolvers according to their specific business requirements. It offers fine-grained control over how data is fetched and merged from different sources. In contrast, Serverless AppSync provides a more opinionated approach, where the schema and resolvers are automatically generated based on the data model and configuration.

  5. Pricing: GraphQL Mesh is an open-source tool that can be used for free, with no additional costs. It provides the flexibility to choose the deployment model and hosting infrastructure. On the other hand, Serverless AppSync is a managed service provided by AWS, which incurs costs based on the usage and data transfer. It is tightly integrated with other AWS services that might have associated costs as well.

  6. Scalability: GraphQL Mesh can be scaled based on the underlying infrastructure and deployment model. It allows developers to choose the optimum resources and scaling strategy based on the application's needs. Serverless AppSync, being a fully-managed service, automatically scales based on the workload and traffic. It provides a scalable solution out of the box without the need for manual configuration.

In Summary, GraphQL Mesh provides flexibility in schema creation and deployment options, supports various data source integrations, and allows customization according to specific requirements. Serverless AppSync, on the other hand, simplifies backend configuration, tightly integrates with AWS services, and offers a fully-managed, scalable GraphQL service.

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Detailed Comparison

Serverless AppSync
Serverless AppSync
GraphQL Mesh
GraphQL Mesh

It allows you to easily and quickly deploy GraphQL APIs on AWS, and integrate them with AWS Lambda, DynamoDB & others. It supports all AWS AppSync features, while offering sane defaults that makes working with AppSync a lot easier without compromising on flexibility.

It allows you to use GraphQL query language to access data in remote APIs that don't run GraphQL (and also ones that do run GraphQL). It can be used as a gateway to other services, or run as a local GraphQL schema that aggregates data from remote APIs.

Fast Deployments; Create New APIs or Reuse Existing Ones; Supports Custom Domains with CDN & SSL Out of the Box; Supports Custom AppSync Service Role; Supports Lambda Data Source; Supports DynamoDB Data Source; Supports ElasticSearch Data Source; Supports Relational Database Data Source; Supports API Keys Authentication; Supports Cognito User Pools Authentication; Supports OpenID Connect Authentication; Supports AppSync Functions
Use GraphQL query language to fetch data from your data-sources directly, without the need for a running gateway server, or any other bottleneck; Use GraphQL query language to fetch from (almost) any data source, without changing the source or modify it's code; Free and open-source, and been built with the community
Statistics
GitHub Stars
261
GitHub Stars
-
GitHub Forks
15
GitHub Forks
-
Stacks
202
Stacks
8
Followers
38
Followers
22
Votes
0
Votes
0
Integrations
Amazon Cognito
Amazon Cognito
Elasticsearch
Elasticsearch
PostgreSQL
PostgreSQL
AWS Lambda
AWS Lambda
GraphQL
GraphQL
Amazon DynamoDB
Amazon DynamoDB
TypeScript
TypeScript
GraphQL
GraphQL

What are some alternatives to Serverless AppSync, GraphQL Mesh?

Firecamp

Firecamp

Firecamp is a centralized platform to test/manage/collaborate on HTTP, GraphQL, WS and other forms of APIs in a Team.

GraphQL Editor

GraphQL Editor

Visual GraphQL Editor is a visual backend editor that speed's up software development and improve's communication with non-tech people. It's a is a bridge between tech and non-tech users. Professionals can import their previously written code and visualize it on diagram while newbies can link visual blocks and editor will transform them into code. Our tool makes understanding GraphQL schema a lot easier.

Altair GraphQL

Altair GraphQL

A beautiful feature-rich GraphQL Client IDE for all platforms. Enables you interact with any GraphQL server you are authorized to access from any platform you are on. Much like Postman for GraphQL, you can easily test and optimize your Grap

graphql-yoga

graphql-yoga

Easiest way to run a GraphQL server: Sensible defaults & includes everything you need with minimal setup.;Includes Subscriptions: Built-in support for GraphQL subscriptions using WebSockets.;Compatible: Works with all GraphQL clients (Apollo, Relay...) and fits seamless in your GraphQL workflow.

GraphQL Nexus

GraphQL Nexus

It is a declarative, code-first and strongly typed GraphQL schema construction for TypeScript & JavaScript.

Cruddl

Cruddl

It is a library that creates an executable GraphQL schema from a model definition and provides queries and mutations to access a database. Currently, it supports the multi-model database ArangoDB. The concept being inspired by existing projects like prisma and join-monster, it exploits the expressiveness of the Arango Query Language (AQL) to generate one tailored query for each GraphQL request.

GraphQL Voyager

GraphQL Voyager

Represent any GraphQL API as an interactive graph. It's time to finally see the graph behind GraphQL.

graphqurl

graphqurl

Made by the team at hasura.io, graphqurl is a curl like CLI for GraphQL.

SpectaQL

SpectaQL

It is a Node.js library that generates static documentation for a GraphQL schema using a variety of options. The goal of SpectaQL is to help you keep your documentation complete, current and beautiful with the least amount of pain possible.

GraphCDN

GraphCDN

Scale, inspect & protect your GraphQL API. Reduce your origin traffic by up to 95% with GraphQL edge cache, get insights about your requests with analytics, track your errors and protect your API from malicious queries.

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