Google App Engine vs. Catalyze vs. cloudControl
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GitHub Stats |
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Description |
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.
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What is Catalyze?Cloud tools for healthcare. We provide a HIPAA-compliant Platform as a Service (PaaS), HIPAA-compliant Mobile Backend (BaaS), and HL7 integration services. Focus on building your digital health app, and not on compliance. Think of us as your healthcare-specific DevOps team.
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What is cloudControl?The cloudControl PaaS supports multiple languages and their ecosystems natively and without vendor lock-in through open source buildpacks. Native support means you can continue to use the tools you know and love for development and simply push your code to the cloudControl platform. A buildpack is run on each push and prepares your app for deployment. E.g. compiling source code, minifying CSS and Javascript assets, pulling in dependencies with Maven, Composer, PIP, Bundler and more.
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Want advice about which of these to choose?Ask the StackShare community! |
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Pros |
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Cons |
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Pricing |
How much does Google App Engine cost?
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How much does Catalyze cost?
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How much does cloudControl cost?
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Companies |
What companies use Google App Engine?
542 companies on StackShare use Google App Engine
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What companies use Catalyze?
2 companies on StackShare use Catalyze
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What companies use cloudControl?
1 companies on StackShare use cloudControl
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Integrations |
What tools integrate with Google App Engine?
21 tools on StackShare integrate with Google App Engine
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No integrations listed yet
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What tools integrate with cloudControl?
22 tools on StackShare integrate with cloudControl
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What are some alternatives to Google App Engine, Catalyze, and cloudControl?
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Latest News |
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February 12, 2018
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February 08, 2018
GCP is building its second Japanese region in Osaka
February 07, 2018
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Related Comparisons
Interest Over Time
Reviews of Google App Engine, Catalyze, and cloudControl
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dlukashevEasily create scalable backend for mobile
March 27, 2014 07:50
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.
Ease of Use Documentation Reliability Support -
alinastancuEasily create scalable backend for mobile
March 26, 2018 00:24
With Cloud Endpoints you can create and deploy mobile backend in one hour or less.
Ease of Use Documentation Reliability Support
How developers use Google App Engine vs Catalyze vs cloudControl
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csmith932 uses Google 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.
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shcheuk uses Google 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.
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CommentBox.io uses Google App Engine
App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.
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abunickabhi uses Google App Engine
Very easy to make cloud computing of ML models , and use containers like Kubernetes.
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vamsiikrishna uses Google App Engine
Cloud instances to run our app, Cloud MySQL , Network Load Balancer
