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  1. Stackups
  2. Application & Data
  3. Serverless
  4. Serverless Task Processing
  5. AWS Lambda vs MongoDB Stitch

AWS Lambda vs MongoDB Stitch

OverviewDecisionsComparisonAlternatives

Overview

AWS Lambda
AWS Lambda
Stacks26.0K
Followers18.8K
Votes432
MongoDB Stitch
MongoDB Stitch
Stacks133
Followers231
Votes4

AWS Lambda vs MongoDB Stitch: What are the differences?

Introduction: In the world of cloud computing, AWS Lambda and MongoDB Stitch are two popular serverless computing solutions that offer different capabilities and features. Below are the key differences between AWS Lambda and MongoDB Stitch.

  1. Programming Languages Supported: AWS Lambda supports a variety of programming languages such as Node.js, Python, Java, and C#. In contrast, MongoDB Stitch primarily supports JavaScript and TypeScript for creating serverless functions. This difference in language support can influence the development team's choice based on their familiarity and expertise with a particular language.

  2. Database Integration: MongoDB Stitch is specifically designed to integrate seamlessly with MongoDB databases, allowing developers to easily access and manipulate data stored in MongoDB collections. On the other hand, AWS Lambda provides more flexibility in terms of database integration, allowing developers to connect to various databases like Amazon DynamoDB, Amazon RDS, and others. The choice between AWS Lambda and MongoDB Stitch may depend on the preferred database system and the complexity of data operations required.

  3. Pricing Model: AWS Lambda follows a pay-as-you-go pricing model, where users are charged based on the number of requests and the duration of code execution. MongoDB Stitch offers a free tier with limited resources and charges based on the number of invocations and data transfer. Depending on the scale and usage patterns of the application, developers can choose the pricing model that aligns with their budget and requirements.

  4. Vendor Lock-in: AWS Lambda is a service provided by Amazon Web Services (AWS), which may lead to potential vendor lock-in for organizations heavily invested in the AWS ecosystem. MongoDB Stitch, on the other hand, provides more flexibility in terms of deployment options, as it can be integrated with various cloud platforms and on-premises environments, reducing the risk of vendor lock-in. This difference can be a crucial factor for organizations looking to maintain portability and avoid dependency on a single cloud provider.

  5. Event Triggers: AWS Lambda offers a wide range of event sources for triggering serverless functions, including API Gateway, S3, DynamoDB, and more. In comparison, MongoDB Stitch has more limited event trigger options, mainly focusing on database changes within MongoDB collections. Depending on the application's requirements and the need for diverse event sources, developers can choose between AWS Lambda and MongoDB Stitch for event-driven architecture implementations.

Summary: In summary, AWS Lambda and MongoDB Stitch differ in terms of programming language support, database integration, pricing model, vendor lock-in considerations, and event trigger options, providing developers with a range of factors to consider when choosing a serverless computing solution.

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Advice on AWS Lambda, MongoDB Stitch

Tim
Tim

CTO at Checkly Inc.

Sep 18, 2019

Needs adviceonHerokuHerokuAWS LambdaAWS Lambda

When adding a new feature to Checkly rearchitecting some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda . The short story:

  • Developer Experience trumps everything.
  • AWS Lambda is cheap. Up to a limit though. This impact not only your wallet.
  • If you need geographic spread, AWS is lonely at the top.

The setup

Recently, I was doing a brainstorm at a startup here in Berlin on the future of their infrastructure. They were ready to move on from their initial, almost 100% Ec2 + Chef based setup. Everything was on the table. But we crossed out a lot quite quickly:

  • Pure, uncut, self hosted Kubernetes — way too much complexity
  • Managed Kubernetes in various flavors — still too much complexity
  • Zeit — Maybe, but no Docker support
  • Elastic Beanstalk — Maybe, bit old but does the job
  • Heroku
  • Lambda

It became clear a mix of PaaS and FaaS was the way to go. What a surprise! That is exactly what I use for Checkly! But when do you pick which model?

I chopped that question up into the following categories:

  • Developer Experience / DX 🤓
  • Ops Experience / OX 🐂 (?)
  • Cost 💵
  • Lock in 🔐

Read the full post linked below for all details

357k views357k
Comments

Detailed Comparison

AWS Lambda
AWS Lambda
MongoDB Stitch
MongoDB Stitch

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.

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.

Extend other AWS services with custom logic;Build custom back-end services;Completely Automated Administration;Built-in Fault Tolerance;Automatic Scaling;Integrated Security Model;Bring Your Own Code;Pay Per Use;Flexible Resource Model
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
26.0K
Stacks
133
Followers
18.8K
Followers
231
Votes
432
Votes
4
Pros & Cons
Pros
  • 129
    No infrastructure
  • 83
    Cheap
  • 70
    Quick
  • 59
    Stateless
  • 47
    No deploy, no server, great sleep
Cons
  • 7
    Cant execute ruby or go
  • 3
    Compute time limited
  • 1
    Can't execute PHP w/o significant effort
Pros
  • 2
    Static Hosting
  • 1
    Best integration with MongoDB (Atlas)
  • 1
    Serverless
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 AWS Lambda, 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.

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.

Dokku

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.

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