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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. Atlas vs MongoDB Stitch

Atlas vs MongoDB Stitch

OverviewComparisonAlternatives

Overview

Atlas
Atlas
Stacks33
Followers125
Votes0
MongoDB Stitch
MongoDB Stitch
Stacks133
Followers231
Votes4

Atlas vs MongoDB Stitch: What are the differences?

**Introduction:**

Key differences between Atlas and MongoDB Stitch:

1. **Database Management:** Atlas is primarily a cloud-based database service that provides full-featured managing capabilities, while MongoDB Stitch is a serverless platform that allows developers to focus on application development without managing the underlying infrastructure.
   
2. **Functionality:** Atlas focuses on data storage, retrieval, and management, offering a robust suite of tools for database administration, monitoring, and scaling. In contrast, MongoDB Stitch adds layers of functionality such as serverless functions, triggers, and services for rapid development and integration of backend services.
   
3. **Integration:** While Atlas integrates seamlessly with various cloud providers and services like AWS, Google Cloud, and Azure, MongoDB Stitch is specifically designed to work with MongoDB Atlas, providing a tightly integrated platform for developing and deploying applications quickly.
   
4. **Scalability:** Atlas offers built-in horizontal scaling capabilities, allowing for seamless expansion of database clusters to meet growing demands. On the other hand, MongoDB Stitch leverages serverless architecture and auto-scaling to handle varying workloads efficiently without the need for manual intervention.
   
5. **Security:** Atlas emphasizes data security features such as encrypted data storage, user authentication, role-based access control, and network isolation to ensure data protection and compliance. MongoDB Stitch extends security measures by offering built-in authentication and data validation rules to secure backend services and APIs.
   
6. **Pricing Model:** Atlas follows a pay-as-you-go pricing model based on resource consumption, storage, and additional features utilized. In contrast, MongoDB Stitch adopts a similar pricing approach but offers a generous free tier for serverless functions and database triggers to enable cost-effective development and testing of applications.

In Summary, the key differences between Atlas and MongoDB Stitch lie in their focus on database management, functionality, integration capabilities, scalability, security features, and pricing models.

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Detailed Comparison

Atlas
Atlas
MongoDB Stitch
MongoDB Stitch

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

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.

One command to develop any application: vagrant up;One command to deploy any application: vagrant push
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
Stacks
33
Stacks
133
Followers
125
Followers
231
Votes
0
Votes
4
Pros & Cons
No community feedback yet
Pros
  • 2
    Static Hosting
  • 1
    Serverless
  • 1
    Best integration with MongoDB (Atlas)
Integrations
No integrations available
GitHub
GitHub
MongoDB Atlas
MongoDB Atlas
Twilio
Twilio
Amazon SQS
Amazon SQS
Mailgun
Mailgun
Amazon S3
Amazon S3
Slack
Slack
Amazon SES
Amazon SES
PubNub
PubNub
Google Cloud Messaging
Google Cloud Messaging

What are some alternatives to Atlas, MongoDB Stitch?

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.

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.

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

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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