Apache Camel vs Hasura | What are the differences? | StackShare

Apache Camel vs Hasura

Overview

Apache Camel

Stacks8.2K

Followers323

Votes22

GitHub Stars6.0K

Forks5.1K

Hasura

Stacks343

Followers634

Votes144

GitHub Stars31.8K

Forks2.8K

Apache Camel vs Hasura: What are the differences?

Apache Camel: A versatile open source integration framework. An open source Java framework that focuses on making integration easier and more accessible to developers; Hasura: An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database. An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Apache Camel and Hasura are primarily classified as "Integration" and "Platform as a Service" tools respectively.

According to the StackShare community, Apache Camel has a broader approval, being mentioned in 14 company stacks & 9 developers stacks; compared to Hasura, which is listed in 5 company stacks and 8 developer stacks.

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Detailed Comparison

Apache Camel	Hasura
An open source Java framework that focuses on making integration easier and more accessible to developers.	An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.
-	Stack-agnostic; Cloud-agnostic; Git push to deploy; Pre-configured API Gateway; Instant GraphQL or JSON APIs; Out-of-the-box Auth APIs with UI Kits; Filestore APIs with access control; Deploy custom code
Statistics
GitHub Stars 6.0K	GitHub Stars 31.8K
GitHub Forks 5.1K	GitHub Forks 2.8K
Stacks 8.2K	Stacks 343
Followers 323	Followers 634
Votes 22	Votes 144
Pros & Cons
Pros 5 Based on Enterprise Integration Patterns 4 Highly configurable 4 Has over 250 components 4 Free (open source) 3 Open Source	Pros 23 Fast 18 Easy GraphQL subscriptions 16 Easy setup of relationships and permissions 15 Automatically generates your GraphQL schema 15 Minimal learning curve Cons 3 Cumbersome validations
Integrations
Spring Boot	Kubernetes PostgreSQL Docker GraphQL

What are some alternatives to Apache Camel, Hasura?

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 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 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

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.

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 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.

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 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.

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.