The DigitalOcean App Platform enables developers to build, deploy, and scale apps on what they describe as a simple, fully managed PaaS.
Users of the former Nanobox, acquired by DigitalOcean in 2019, have been migrated to the App Platform upon Nanobox's end of life in March 2021.
$5
per month
Google Cloud Run
Score 9.1 out of 10
N/A
Google Cloud Run enables users to build and deploy scalable containerized apps written in any language (including Go, Python, Java, Node.js, .NET, and Ruby) on a fully managed platform. Cloud Run can be paired with other container ecosystem tools, including Google's Cloud Build, Cloud Code, Artifact Registry, and Docker. And it features out-of-the-box integration with Cloud Monitoring, Cloud Logging, Cloud Trace, and Error Reporting to ensure the health of an application.
N/A
Pricing
DigitalOcean App Platform
Google Cloud Run
Editions & Modules
Basic
$5
per month
Professional
$12
per month
No answers on this topic
Offerings
Pricing Offerings
DigitalOcean App Platform
Google Cloud Run
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
DigitalOcean App Platform
Google Cloud Run
Considered Both Products
DigitalOcean App Platform
Verified User
Anonymous
Chose DigitalOcean App Platform
It can help you to host your virtual appliance or serverless application at very low cost. DigitalOcean marketplace also helps you to deploy the serverless app or virtual appliance effortlessly. It is suitable for small scale deployment and the process to setup an account and …
The ability to choose your own cloud provider is huge, especially for a small start up like I have. We have a lot of free credit from AWS, Google Cloud, IBM, Azure, etc...
The data layer is baked into the system which is better for integration then an external provider.
Most of our existing serverless services are deployed on Google to it was a natural choice. With the new artifact registry, its very easy to deploy. With git flows, its now even easier to update the deployment just with a commit to the main branch. The initial trial period is …
The other two obvious cloud providers have direct alternatives: AWS Lambda and Azure Functions. Both were also evaluated briefly (only to validate that they exist); however, the organization had settled on shifting to Google for business reasons, and therefore, the comparison …
Flexibility of features snd customzing options tha optimized the large process and make it on the the go to reuse the same process in multiple deployments ot rollouts
Cloud Run is just so much easier and straightforward to work with than EC2 when it comes to getting a Docker image up and running and serving requests.
Usage is easy and also we have GCP as out cloud partner hence we made up our mind to go with Cloud Run and so far no issues things are going fine with it. and getting good features from Google in it.
The Goolge docs for their products as well as the UI is a lot nicer than AWS or Azure and in general I found it much easy to work with. We selected Google mainly because of startup credits and the support offered but can confidently say we would choose them again without that …
It can help you to host your virtual appliance or serverless application at very low cost. DigitalOcean marketplace also helps you to deploy the serverless app or virtual appliance effortlessly. It is suitable for small-scale deployment and the process to set up an account and rolling out your app via the marketplace is easy and cheap.
Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.
The company has not been very communicative as of lately. Not much news, no apparent work on missing features.
Some components are incomplete as far as some critical features. For example, I use RethinkDB as my database and it's missing critical features like backup and clustering, so It is unusable and they should have made that clear from the get go.
The pricing on the support plan is vague. I do have the feeling it is actually well worth the money, but it's hard to form a decisions based without more predictable specific.
Seems to me like the platform's future is unclear.
The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.
The ability to choose your own cloud provider is huge, especially for a small start up like I have. We have a lot of free credit from AWS, Google Cloud, IBM, Azure, etc... The data layer is baked into the system which is better for integration then an external provider. There are also a lot fewer differences between environment as everything is Docker based which gives me the confidence that what works on my machine is going to work in production. Heroku doesn't have good support for Docker containers yet and although Heroku has served me well in the past, it is limited in some aspects.