Convox vs Google App Engine: What are the differences?
What is Convox? Launch a Private Cloud in Minutes. The simplicity of Heroku. The power of AWS. Convox is an open source Platform as a Service that runs in your own Amazon Web Services (AWS) account. Instead of signing up for a multi-tenant PaaS like Heroku, you can have your own. This gives you privacy and control over your platform and avoids the substantial markup on AWS prices that other platforms charge.
What is Google App Engine? Build web applications on the same scalable systems that power Google applications. 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.
Convox and Google App Engine belong to "Platform as a Service" category of the tech stack.
Some of the features offered by Convox are:
- Instant Deploys
- Runs in your AWS account
- Open Source
On the other hand, Google App Engine provides the following key features:
- Zero to sixty: Scale your app automatically without worrying about managing machines.
- Supercharged APIs: Supercharge your app with services such as Task Queue, XMPP, and Cloud SQL, all powered by the same infrastructure that powers the Google services you use every day.
- You're in control: Manage your application with a simple, web-based dashboard allowing you to customize your app's performance.
"Your own scalable Heroku in 5 minutes" is the top reason why over 5 developers like Convox, while over 140 developers mention "Easy to deploy" as the leading cause for choosing Google App Engine.
Snapchat, Movielala, and Blossom are some of the popular companies that use Google App Engine, whereas Convox is used by Bit Zesty, Placeavote, and Truebill. Google App Engine has a broader approval, being mentioned in 481 company stacks & 343 developers stacks; compared to Convox, which is listed in 9 company stacks and 5 developer stacks.
What is Convox?
What is Google App Engine?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using Convox?
What are the cons of using Google App Engine?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
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.
With Cloud Endpoints you can create and deploy mobile backend in one hour or less.
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.
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.
App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.
We use the Convox platform to run the Convox website, naturally!
Convox is our deployment arm of all backend application services into our AWS ECS cluster.
Very easy to make cloud computing of ML models , and use containers like Kubernetes.