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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.
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Learn MorePros of MongoDB Stitch
Pros of Red Hat OpenShift
Pros of MongoDB Stitch
- Static Hosting2
- Serverless1
- Best integration with MongoDB (Atlas)1
Pros of Red Hat OpenShift
- Good free plan99
- Open Source63
- Easy setup47
- Nodejs support43
- Well documented42
- Custom domains32
- Mongodb support28
- Clean and simple architecture27
- PHP support25
- Customizable environments21
- Ability to run CRON jobs11
- Easier than Heroku for a WordPress blog9
- Easy deployment8
- PostgreSQL support7
- Autoscaling7
- Good balance between Heroku and AWS for flexibility7
- Free, Easy Setup, Lot of Gear or D.I.Y Gear5
- Shell access to gears4
- Great Support3
- High Security3
- Logging & Metrics3
- Cloud Agnostic2
- Runs Anywhere - AWS, GCP, Azure2
- No credit card needed2
- Because it is easy to manage2
- Secure2
- Meteor support2
- Overly complicated and over engineered in majority of e2
- Golang support2
- Its free and offer custom domain usage2
- Autoscaling at a good price point1
- Easy setup and great customer support1
- MultiCloud1
- Great free plan with excellent support1
- This is the only free one among the three as of today1
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Cons of MongoDB Stitch
Cons of Red Hat OpenShift
Cons of MongoDB Stitch
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Cons of Red Hat OpenShift
- Decisions are made for you, limiting your options2
- License cost2
- Behind, sometimes severely, the upstreams1
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- No public GitHub repository available -
What is MongoDB Stitch?
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.
What is 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.
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What companies use MongoDB Stitch?
What companies use Red Hat OpenShift?
What companies use MongoDB Stitch?
What companies use Red Hat OpenShift?
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What tools integrate with MongoDB Stitch?
What tools integrate with Red Hat OpenShift?
What tools integrate with MongoDB Stitch?
What tools integrate with Red Hat OpenShift?
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What are some alternatives to MongoDB Stitch and Red Hat OpenShift?
Firebase
Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.
Atlas
Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.
MongoDB Atlas
MongoDB Atlas is a global cloud database service built and run by the team behind MongoDB. Enjoy the flexibility and scalability of a document database, with the ease and automation of a fully managed service on your preferred cloud.
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
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.