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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Elastic Beanstalk

    Score8.6 out of 10
    N/AAWS Elastic Beanstalk is the platform-as-a-service offering provided by Amazon and designed to leverage AWS services such as Amazon Elastic Cloud Compute (Amazon EC2), Amazon Simple Storage Service (Amazon S3).

    $35

    per month

    Google Cloud Functions

    Score8.7 out of 10
    N/AGoogle Cloud Functions enables users to run code in the cloud with no servers or containers to manage. Cloud Functions is a scalable, pay-as-you-go functions as a service (FaaS) product to help build and connect event driven services with simple, single purpose code.N/A
    Pricing
    AWS Elastic BeanstalkGoogle Cloud Functions
    Editions & Modules
    No Charge
    $0
    Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
    No answers on this topic
    Offerings
    Pricing Offerings
    AWS Elastic BeanstalkGoogle Cloud Functions
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    AWS Elastic BeanstalkGoogle Cloud Functions
    Considered Both Products
    Amazon AWS
    Chose AWS Elastic Beanstalk
    There are many services like AWS Elastic beanstalk, but there are none with the maturity in the platform or the cost-effectiveness of AWS Elastic Beanstalk. Also, AWS Elastic Beanstalk is the oldest among them, so there are more people with AWS experience than the other …
    Incentivized
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    88%
    Would buy again
    7 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    8 Answers
    No answers on this topic
    Happy with the feature set
    88%
    Happy with the feature set
    7 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    No answers on this topic
    Features
    AWS Elastic BeanstalkGoogle Cloud Functions
    Platform-as-a-Service
    Comparison of Platform-as-a-Service features of AWS Elastic Beanstalk and Google Cloud Functions
    Feature
    AWS Elastic Beanstalk
    7.8
    28 Ratings
    1% above category average
    Google Cloud Functions
    -
    Ratings
    Ease of building user interfaces8.018 Ratings00 Ratings
    Scalability7.028 Ratings00 Ratings
    Platform management overhead8.027 Ratings00 Ratings
    Workflow engine capability7.022 Ratings00 Ratings
    Platform access control8.027 Ratings00 Ratings
    Services-enabled integration8.027 Ratings00 Ratings
    Development environment creation7.027 Ratings00 Ratings
    Development environment replication8.028 Ratings00 Ratings
    Issue monitoring and notification8.027 Ratings00 Ratings
    Issue recovery9.025 Ratings00 Ratings
    Upgrades and platform fixes8.026 Ratings00 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of AWS Elastic Beanstalk and Google Cloud Functions
    Feature
    AWS Elastic Beanstalk
    -
    Ratings
    Google Cloud Functions
    7.5
    2 Ratings
    12% below category average
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.52 Ratings
    Single Sign-On (SSO)00 Ratings7.52 Ratings
    Reporting & Analytics
    Comparison of Reporting & Analytics features of AWS Elastic Beanstalk and Google Cloud Functions
    Feature
    AWS Elastic Beanstalk
    -
    Ratings
    Google Cloud Functions
    7.5
    2 Ratings
    13% above category average
    Dashboards00 Ratings7.52 Ratings
    Standard reports00 Ratings7.52 Ratings
    Custom reports00 Ratings7.52 Ratings
    Function as a Service (FaaS)
    Comparison of Function as a Service (FaaS) features of AWS Elastic Beanstalk and Google Cloud Functions
    Feature
    AWS Elastic Beanstalk
    -
    Ratings
    Google Cloud Functions
    7.3
    2 Ratings
    13% below category average
    Programming Language Diversity00 Ratings7.02 Ratings
    Runtime API Authoring00 Ratings6.52 Ratings
    Function/Database Integration00 Ratings8.52 Ratings
    DevOps Stack Integration00 Ratings7.52 Ratings
    Best Alternatives
    AWS Elastic BeanstalkGoogle Cloud Functions
    Small Businesses
    IBM Cloud Foundry
    Score8.5 out of 10
    IBM Cloud Functions
    Score6.5 out of 10
    Medium-sized Companies
    IBM Cloud Private
    Score9.6 out of 10
    AWS Lambda
    Score8.3 out of 10
    Enterprises
    Red Hat OpenShift
    Score9.1 out of 10
    AWS Lambda
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS Elastic BeanstalkGoogle Cloud Functions
    Likelihood to Recommend
    7.0
    (28 ratings)
    8.7
    (3 ratings)
    Likelihood to Renew
    7.9
    (2 ratings)
    -
    (0 ratings)
    Usability
    7.0
    (10 ratings)
    7.0
    (3 ratings)
    Support Rating
    8.0
    (12 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    7.0
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    AWS Elastic BeanstalkGoogle Cloud Functions
    Likelihood to Recommend
    Amazon AWS
    I have been using AWS Elastic Beanstalk for more than 5 years, and it has made our life so easy and hassle-free. Here are some scenarios where it excels -
    • I have been using different AWS services like EC2, S3, Cloudfront, Serverless, etc. And Elastic Beanstalk makes our lives easier by tieing each service together and making the deployment a smooth process.
    • N number of integrations with different CI/CD pipelines make this most engineer's favourite service.
    • Scalability & Security comes with the service, which makes it the absolute perfect product for your business.
    Personally, I haven't found any situations where it's not appropriate for the use cases it can be used. The pricing is also very cost-effective.
    Incentivized
    Read full review
    Google
    Any sort of transaction or complex logic that is going to take longer than 250ms or accesses resources that are protected by permissions, secrets, etc. is a great use case for a GCF. Some sort of "helper function" associated strictly with the UI inside browser would not be a good application of a GCF. It would not be crazy to create/debug some fairly complicated logic inside the browser/IDE and when perfected package it up as a Google Cloud Function. I have done that many times.
    Incentivized
    Read full review
    Pros
    Amazon AWS
    • Getting a project set up using the console or CLI is easy compared to other [computing] platforms.
    • AWS Elastic Beanstalk supports a variety of programming languages so teams can experiment with different frameworks but still use the same compute platform for rapid prototyping.
    • Common application architectures can be referenced as patterns during project [setup].
    • Multiple environments can be deployed for an application giving more flexibility for experimentation.
    Incentivized
    Read full review
    Google
    • integration with oAuth
    • integration with Firebase
    • integration with React Frontend
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example.
    • It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made.
    Incentivized
    Read full review
    Google
    • Needing a zip file is problematic (when wanting to automate deployment for example).
    • Requires another solution to execute automatically (ex. cloud scheduler).
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    As our technology grows, it makes more sense to individually provision each server rather than have it done via beanstalk. There are several reasons to do so, which I cannot explain without further diving into the architecture itself, but I can tell you this. With automation, you also loose the flexibility to morph the system for your specific needs. So if you expect that in future you need more customization to your deployment process, then there is a good chance that you might try to do things individually rather than use an automation like beanstalk.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Usability
    Amazon AWS
    The overall usability is good enough, as far as the scaling, interactive UI and logging system is concerned, could do a lot better when it comes to the efficiency, in case of complicated node logics and complicated node architectures. It can have better software compatibility and can try to support collaboration with more softwares
    Incentivized
    Read full review
    Google
    The console UI is pretty nasty. Managing various authentication/permissions configurations is just a nightmare. On the other hand, once you are over the hump it's not so bad. AWS Lambda is no better.
    Incentivized
    Read full review
    Support Rating
    Amazon AWS
    As I described earlier it has been really cost effective and really easy for fellow developers who don't want to waste weeks and weeks into learning and manually deploying stuff which basically takes month to create and go live with the Minimal viable product (MVP). With AWS Beanstalk within a week a developer can go live with the Minimal viable product easily.
    Incentivized
    Read full review
    Google
    Documentation is provided and clear for this service. Although GCP support is included in the current contract we didn't get to use it since the process is pretty straightforward.
    Incentivized
    Read full review
    Implementation Rating
    Amazon AWS
    - Do as many experiments as you can before you commit on using beanstalk or other AWS features. - Keep future state in mind. Think through what comes next, and if that is technically possible to do so. - Always factor in cost in terms of scaling. - We learned a valuable lesson when we wanted to go multi-region, because then we realized many things needs to change in code. So if you plan on using this a lot, factor multiple regions.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Alternatives Considered
    Amazon AWS
    We also use Heroku and it is a great platform for smaller projects and light Node.js services, but we have found that in terms of cost, the Elastic Beanstalk option is more affordable for the projects that we undertake. The fact that it sits inside of the greater AWS Cloud offering also compels us to use it, since integration is simpler. We have also evaluated Microsoft Azure and gave up trying to get an extremely basic implementation up and running after a few days of struggling with its mediocre user interface and constant issues with documentation being outdated. The authentication model is also badly broken and trying to manage resources is a pain. One cannot compare Azure with anything that Amazon has created in the cloud space since Azure really isn't a mature platform and we are always left wanting when we have to interface with it.
    Incentivized
    Read full review
    Google
    It is easier to keep everything in house when we are using GCP or AWS. To mix Lambda with google cloud is not a best practice and will cause problems ahead. The segmentation is clear, if you are using google, you use Google Cloud Functions. if you are on Amazon, you use all AWS tools. You can't mix them. The price is set.
    Incentivized
    Read full review
    Return on Investment
    Amazon AWS
    • till now we had not Calculated ROI as the project is still evolving and we had to keep on changing the environment implementation
    • it meets our purpose of quick deployment as compared to on-premises deployment
    • till now we look good as we also controlled our expenses which increased suddenly in the middle of deployment activity
    Incentivized
    Read full review
    Google
    • For training purposes, it is free
    • Budgeting makes it cap the use
    • monitoring makes it predictable
    Incentivized
    Read full review
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