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 9.2 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
Features
DigitalOcean App Platform
Google Cloud Run
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
DigitalOcean App Platform
6.8
Ratings
16% below category average
Google Cloud Run
-
Ratings
Ease of building user interfaces
7.00 Ratings
00 Ratings
Scalability
4.00 Ratings
00 Ratings
Platform management overhead
4.00 Ratings
00 Ratings
Platform access control
4.00 Ratings
00 Ratings
Services-enabled integration
9.00 Ratings
00 Ratings
Development environment creation
10.00 Ratings
00 Ratings
Development environment replication
10.00 Ratings
00 Ratings
Issue monitoring and notification
6.00 Ratings
00 Ratings
Issue recovery
8.00 Ratings
00 Ratings
Upgrades and platform fixes
6.00 Ratings
00 Ratings
Container Management
Comparison of Container Management features of Product A and Product B
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.