Domino
Domino

4
5
0
Google App Engine
Google App Engine

2.6K
1.7K
606
Heroku
Heroku

7.3K
5K
3.1K
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- No public GitHub repository available -
- No public GitHub repository available -

What is Domino?

Use our cloud-hosted infrastructure to securely run your code on powerful hardware with a single command — without any changes to your code. If you have your own infrastructure, our Enterprise offering provides powerful, easy-to-use cluster management functionality behind your firewall.

What is 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.

What is 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.

Want advice about which of these to choose?Ask the StackShare community!

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    What are the cons of using Domino?
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    What are the cons of using Heroku?
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        What companies use Domino?
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        What tools integrate with Domino?
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          What are some alternatives to Domino, Google App Engine, and Heroku?
          Biscuit
          Biscuit is a simple key-value store for your infrastructure secrets. Biscuit is most useful to teams already using AWS and IAM to manage their infrastructure.
          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.
          Apollo
          Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
          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.
          Azure Websites
          Azure Websites is a fully managed Platform-as-a-Service (PaaS) that enables you to build, deploy and scale enterprise-grade web Apps in seconds. Focus on your application code, and let Azure take care of the infrastructure to scale and securely run it for you.
          See all alternatives
          Decisions about Domino, Google App Engine, and Heroku
          No stack decisions found
          Interest over time
          Reviews of Domino, Google App Engine, and Heroku
          Review ofHerokuHeroku

          I use Heroku, for almost any project of mine. Their free plan is awesome for testing, solo developers or your startup and its almost impossible to not cover you somehow. Adding an add on is a simple command away and I find it easy to use it both on my Windows PC or my Linux laptop. Their documentation, covers almost everything. In particular I have used Heroku for Spring, Django and AngularJS. I even find it easier to run my project on my local dev with foreman start, than ./manage.py runserver (for my django projects). There is no place like Heroku for the developer!

          Review ofHerokuHeroku

          Can't beat the simplicity of deploying and managing apps, the pricing is a bit high, but you are paying for those streamlined tools. However, after several experiences of tracing issues back to Heroku's stack, not having visibility into what they are doing has prompted moving two applications off of it and on to other more transparent cloud solutions. Heroku is amazing for what it is, hosting for early stage products.

          Review ofGoogle App EngineGoogle App Engine

          With Cloud Endpoints you can create and deploy mobile backend in one hour or less. And it is free (until you need extra scale). I would not recommend to use Java - python is faster and has all new appengine features.

          Pros: everything is in one place: task queue, cron, backend instances for data processing, datastore, mapreduce. Cons: you cannot easily move your code from GAE. Even with special 3rd party services.

          Review ofHerokuHeroku

          I've been using Heroku for 3 years now, they have grown super fast and each time they're improving their services. What I really like the most is how easily you can show to your client the advances on you project, it would take you maximum 15 minutes to configure two environments (Staging/Production). It is simply essential and fantastic!

          Review ofHerokuHeroku

          I liked how easy this was to use and that I could create some proof of concepts without have to pay. The downside for NodeJS is remote debugging. Pretty much have to depend on logging where Azure allows remote debugging with Node Inspector.

          Review ofHerokuHeroku

          Using Heroku takes away all the pains associated with managing compute and backing services. It may require a little extra optimisation and tweaks, but these constraints often make your app better anyway.

          Review ofGoogle App EngineGoogle App Engine

          With Cloud Endpoints you can create and deploy mobile backend in one hour or less.

          How developers use Domino, Google App Engine, and Heroku
          Avatar of StackShare
          StackShare uses HerokuHeroku

          Not having to deal with servers is a huge win for us. There are certainly trade-offs (having to wait if the platform is down as opposed to being able to fix the issue), but we’re happy being on Heroku right now. Being able to focus 100% of our technical efforts on application code is immensely helpful.

          Two dynos seems to be the sweet spot for our application. We can handle traffic spikes and get pretty consistent performance otherwise.

          We have a total of four apps on Heroku: Legacy Leanstack, StackShare Prod, StackShare Staging, StackShare Dev. Protip: if you’re setting up multiple environments based on your prod environment, just run heroku fork app name. Super useful, it copies over your db, add-ons, and settings.

          We have a develop branch on GitHub that we push to dev to test out, then if everything is cool we push it to staging and eventually prod. Hotfixes of course go straight to staging and then prod usually.

          Avatar of Casey Smith
          Casey Smith uses Google App EngineGoogle App Engine

          PaaS for back-end components, including external data ingestion APIs, front-end web service APIs, hosting of static front-end application assets, back-end data processing pipeline microservices, APIs to storage infrastructure (Cloud SQL and Memcached), and data processing pipeline task queues and cron jobs. Task queue fan-out and auto-scaling of back-end microservice instances provide parallelism for high velocity data processing.

          Avatar of StackShare
          StackShare uses HerokuHeroku

          We keep the Metrics tab open while we load test, and hit refresh to see what’s going on: heroku metric

          I would expect the graphs to expand with some sort of detail, but that’s not the case. So these metrics aren’t very useful. The logs are far more useful, so we just keep the tail open while we test.

          Avatar of Lawrence Cheuk
          Lawrence Cheuk uses Google App EngineGoogle App Engine

          checking a swap require a lot of cpu resource, roster normally come out same day of month, every month, at a particular time. Which make very high spike, our flag ship product, iSwap, with the capability looking swap possibility with 10000 other rosters base on user critieria, you need a cloud computing give you this magnitude of computing power. gae did it nicely, user friendly, easy to you, low cost.

          Avatar of Tim Lucas
          Tim Lucas uses HerokuHeroku

          Heroku runs the web and background worker processes. Auto-deployments are triggered via GitHub commits and wait for the Buildkite test build to pass. Heroku pipelines with beta release phase execution (for automatically running database migrations) allowed for easy manual testing of big new releases. Web and worker logs are sent to Papertrail.

          Avatar of Jeff Flynn
          Jeff Flynn uses HerokuHeroku

          As much as I love AWS EC, I prefer Heroku for apps like this. Heroku has grown up around Rails and Ruby, massive set of add-ons that are usually one-click setup, and I once had to perform an emergency app scale-up a that I completed in seconds from my mobile phone whilst riding the Bangkok subway. Doesn't get much easier than that.

          Avatar of Matt Welke
          Matt Welke uses HerokuHeroku

          Used for proofs of concept and personal projects where I want to remain in a free tier (as opposed to a service like DigitalOcean), and application state must outlive an HTTP request/response cycle.

          Heroku Postgres sometimes used as a free tier PostgreSQL managed database linked to non-Heroku apps, for example AWS Lambda.

          Avatar of CommentBox.io
          CommentBox.io uses Google App EngineGoogle App Engine

          App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.

          Avatar of Abhijeet Gokar
          Abhijeet Gokar uses Google App EngineGoogle App Engine

          Very easy to make cloud computing of ML models , and use containers like Kubernetes.

          Avatar of Vamsi Krishna
          Vamsi Krishna uses Google App EngineGoogle App Engine

          Cloud instances to run our app, Cloud MySQL , Network Load Balancer

          How much does Domino cost?
          How much does Google App Engine cost?
          How much does Heroku cost?