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  5. Apollo vs PostGraphile

Apollo vs PostGraphile

OverviewComparisonAlternatives

Overview

PostGraphile
PostGraphile
Stacks85
Followers214
Votes47
Apollo
Apollo
Stacks2.7K
Followers1.8K
Votes25

Apollo vs PostGraphile: What are the differences?

Introduction

In the realm of GraphQL server libraries and frameworks, two popular options are Apollo and PostGraphile. While both serve the purpose of generating a GraphQL API, they differ in certain key aspects. Here are the main differences between Apollo and PostGraphile:

  1. Integration with Databases: Apollo provides a flexible and agnostic approach when it comes to integrating with different databases. It allows you to connect to various databases, such as MongoDB, MySQL, PostgreSQL, and more, by writing custom resolvers. On the other hand, PostGraphile is specifically designed to work with PostgreSQL databases. It automatically generates a GraphQL schema and resolvers based on the existing database structure, making it easier to get up and running quickly with a PostgreSQL backend.

  2. Schema Generation: Apollo requires you to define your GraphQL schema manually by writing SDL (Schema Definition Language) code. This gives you complete control over the schema structure and types. PostGraphile, on the other hand, automatically generates the GraphQL schema based on the existing PostgreSQL database structure. It analyzes the tables, columns, relationships, and other database entities to create a GraphQL API.

  3. Authentication and Authorization: Apollo provides a flexible approach to handle authentication and authorization. It offers various authentication strategies and allows you to implement custom middleware and resolvers to handle authorization logic. PostGraphile, on the other hand, leverages the existing security features of PostgreSQL, such as roles, permissions, and row-level security. It integrates with PostgreSQL's authentication mechanisms, enabling you to secure your API at the database level.

  4. Flexibility and Customization: Apollo offers a high level of flexibility and customization options. It provides a range of plugins, middlewares, and tools to extend and customize the server functionality. With Apollo, you have greater control over how your server handles queries, mutations, caching, and other features. PostGraphile, on the other hand, focuses on simplicity and convention over configuration. It automates many of the common tasks and aims to provide a "batteries included" approach, reducing the need for extensive configuration.

  5. Real-time Subscriptions: Apollo has built-in support for real-time subscriptions using GraphQL subscriptions. It allows clients to subscribe to specific data changes and receive updates in real-time. This feature is particularly useful for applications that require real-time updates, such as chat applications or collaborative tools. PostGraphile, on the other hand, does not natively support real-time subscriptions. However, you can integrate external libraries or services, such as WebSocket libraries, to add real-time capabilities to your PostGraphile API.

  6. Community and Ecosystem: Apollo has a large and active community, with a wide range of resources, tutorials, and plugins available. It is widely used in production environments and has extensive documentation and support. PostGraphile also has a growing community, but it may not be as mature or widely adopted as Apollo. However, being specifically designed for PostgreSQL, it offers deeper integration and optimization for PostgreSQL database features.

In summary, Apollo provides flexibility, extensive customization options, and support for various databases, while PostGraphile focuses on simplicity, automatic schema generation, and tight integration with PostgreSQL. The choice between Apollo and PostGraphile depends on your specific requirements, database choice, and development preferences.

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CLI (Node.js)
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Detailed Comparison

PostGraphile
PostGraphile
Apollo
Apollo

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.

instant GraphQL schema via reflection over PostgreSQL database API; compiles complex GraphQL queries into very few SQL statements resulting in high performance; built entirely from plugins - heavily customisable; support for PostgreSQL RBAC and RLS; watch mode (monitors for database schema changes) for great DX; standalone server, express middleware, or GraphQL schema; integration with Express auth via pgSettings (e.g. Passport.js, optional); JWT auth (optional); very strong support for PostgreSQL functions; simple to set up and scale
-
Statistics
Stacks
85
Stacks
2.7K
Followers
214
Followers
1.8K
Votes
47
Votes
25
Pros & Cons
Pros
  • 10
    Postgres based authentication
  • 6
    Great developer support
  • 5
    Lightning fast
  • 5
    Database first with no braking changes
  • 4
    Simple to set up and scale
Pros
  • 12
    From the creators of Meteor
  • 8
    Great documentation
  • 3
    Open source
  • 2
    Real time if use subscription
Cons
  • 1
    Increase in complexity of implementing (subscription)
  • 1
    File upload is not supported
Integrations
ExpressJS
ExpressJS
Node.js
Node.js
PostgreSQL
PostgreSQL
Koa
Koa
GraphQL
GraphQL
Fastify
Fastify
Relay Framework
Relay Framework
graphql.js
graphql.js
GraphQL
GraphQL

What are some alternatives to PostGraphile, Apollo?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

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