MongoDB Stitch vs OpenShift

Overview

Red Hat OpenShift

Stacks1.6K

Followers1.4K

Votes517

GitHub Stars885

Forks510

MongoDB Stitch

Stacks133

Followers231

Votes4

MongoDB Stitch vs OpenShift: What are the differences?

Scalability: MongoDB Stitch is a fully managed serverless platform that can automatically scale based on demand, while OpenShift requires manual scaling and management of resources.
Data Model: MongoDB Stitch is designed to work seamlessly with MongoDB databases, providing a document-based data model, whereas OpenShift is more focused on container orchestration and management.
Integration: MongoDB Stitch offers easy integration with other MongoDB products and services, enabling developers to build end-to-end solutions within the MongoDB ecosystem, while OpenShift is more agnostic and can be integrated with a variety of technologies and platforms.
Pricing Model: MongoDB Stitch follows a pay-as-you-go pricing model based on resource consumption, whereas OpenShift typically follows a subscription-based pricing model with different tiers based on features and support.
Deployment Options: MongoDB Stitch is primarily cloud-based and managed by MongoDB Atlas, offering ease of deployment and maintenance, while OpenShift can be deployed on-premises or in the cloud, providing more flexibility in deployment options.
Community Support: MongoDB Stitch benefits from the active MongoDB community and ecosystem, providing extensive documentation and support resources, whereas OpenShift has a growing community but may not have the same level of resources available.

In Summary, MongoDB Stitch and OpenShift differ in terms of scalability, data model, integration, pricing model, deployment options, and community support.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Red Hat OpenShift	MongoDB Stitch
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.	MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.
Built-in support for Node.js, Ruby, Python, PHP, Perl, and Java (the standard in today's Enterprise);OpenShift is extensible with a customizable cartridge functionality that allows developers to add any other language they wish. We've seen everything from Clojure to Cobol running on OpenShift;OpenShift supports frameworks ranging from Spring, to Rails, to Play;Autoscaling- OpenShift can scale your application by adding additional instances of your application and enabling clustering. Alternatively, you can manually scale the amount of resources with which your application is deployed when needed;OpenShift by Red Hat is built on open-source technologies (Red Hat Enterprise Linux- RHEL);One Click Deployment- Deploying to the OpenShift platform is as easy a clicking a button or entering a "Git push" command	REST API to MongoDB Atlas;Declarative data access controls;Service integrations (AWS S3, Twilio...);WebHooks;REST-like API for JavaScript, Android and iOS clients
Statistics
GitHub Stars 885	GitHub Stars -
GitHub Forks 510	GitHub Forks -
Stacks 1.6K	Stacks 133
Followers 1.4K	Followers 231
Votes 517	Votes 4
Pros & Cons
Pros 99 Good free plan 63 Open Source 47 Easy setup 43 Nodejs support 42 Well documented Cons 2 Decisions are made for you, limiting your options 2 License cost 1 Behind, sometimes severely, the upstreams	Pros 2 Static Hosting 1 Serverless 1 Best integration with MongoDB (Atlas)
Integrations
No integrations available	GitHub MongoDB Atlas Twilio Amazon SQS Mailgun Amazon S3 Slack Amazon SES PubNub Google Cloud Messaging

What are some alternatives to Red Hat OpenShift, MongoDB Stitch?

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.

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.

Hasura

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

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.

Related Comparisons

MongoDB Stitch vs OpenShift: What are the differences?

Scalability: MongoDB Stitch is a fully managed serverless platform that can automatically scale based on demand, while OpenShift requires manual scaling and management of resources.
Data Model: MongoDB Stitch is designed to work seamlessly with MongoDB databases, providing a document-based data model, whereas OpenShift is more focused on container orchestration and management.
Integration: MongoDB Stitch offers easy integration with other MongoDB products and services, enabling developers to build end-to-end solutions within the MongoDB ecosystem, while OpenShift is more agnostic and can be integrated with a variety of technologies and platforms.
Pricing Model: MongoDB Stitch follows a pay-as-you-go pricing model based on resource consumption, whereas OpenShift typically follows a subscription-based pricing model with different tiers based on features and support.
Deployment Options: MongoDB Stitch is primarily cloud-based and managed by MongoDB Atlas, offering ease of deployment and maintenance, while OpenShift can be deployed on-premises or in the cloud, providing more flexibility in deployment options.
Community Support: MongoDB Stitch benefits from the active MongoDB community and ecosystem, providing extensive documentation and support resources, whereas OpenShift has a growing community but may not have the same level of resources available.

In Summary, MongoDB Stitch and OpenShift differ in terms of scalability, data model, integration, pricing model, deployment options, and community support.

MongoDB Stitch vs OpenShift

Overview