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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Lambda

    Score8.3 out of 10
    N/AAWS Lambda is a serverless computing platform that lets users run code without provisioning or managing servers. With Lambda, users can run code for virtually any type of app or backend service—all with zero administration. It takes of requirements to run and scale code with high availability.

    $NaN

    Per 1 ms

    Firebase

    Score8.2 out of 10
    N/AGoogle offers the Firebase suite of application development tools, available free or at cost for higher degree of usages, priced flexibly accorded to features needed. The suite includes A/B testing and Crashlytics, Cloud Messaging (FCM) and in-app messaging, cloud storage and NoSQL storage (Cloud Firestore and Firestore Realtime Database), and other features supporting developers with flexible mobile application development.

    $0.01

    Per Verification

    Pricing
    AWS LambdaFirebase
    Editions & Modules
    128 MB
    $0.0000000021
    Per 1 ms
    1024 MB
    $0.0000000167
    Per 1 ms
    10240 MB
    $0.0000001667
    Per 1 ms
    Phone Authentication
    $0.01
    Per Verification
    Stored Data
    $0.18
    Per GiB
    Offerings
    Pricing Offerings
    AWS LambdaFirebase
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    AWS LambdaFirebase
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Google
    Chose Firebase
    Unlike other tools in the GCP suite that have an equivalent in other clouds such as Bigquery (Athenas on AWS), AI Platform (Sagemaker), Storage (S3), we do not find an equivalent as complete as Firebase in any other provider. This is the main reason why we chose this provider …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    24 Answers
    83%
    Would buy again
    19 Answers
    Delivers good value for the price
    96%
    Delivers good value for the price
    22 Answers
    95%
    Delivers good value for the price
    19 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    24 Answers
    91%
    Happy with the feature set
    21 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    18 Answers
    83%
    Lived up to sales and marketing promises
    15 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    21 Answers
    90%
    Implementation went as expected
    19 Answers
    Features
    AWS LambdaFirebase
    Access Control and Security
    Comparison of Access Control and Security features of AWS Lambda and Firebase
    Feature
    AWS Lambda
    8.8
    7 Ratings
    4% above category average
    Firebase
    -
    Ratings
    Multiple Access Permission Levels (Create, Read, Delete)8.57 Ratings00 Ratings
    Single Sign-On (SSO)9.03 Ratings00 Ratings
    Reporting & Analytics
    Comparison of Reporting & Analytics features of AWS Lambda and Firebase
    Feature
    AWS Lambda
    4.9
    6 Ratings
    29% below category average
    Firebase
    -
    Ratings
    Dashboards5.46 Ratings00 Ratings
    Standard reports5.05 Ratings00 Ratings
    Custom reports4.35 Ratings00 Ratings
    Function as a Service (FaaS)
    Comparison of Function as a Service (FaaS) features of AWS Lambda and Firebase
    Feature
    AWS Lambda
    8.8
    7 Ratings
    5% above category average
    Firebase
    -
    Ratings
    Programming Language Diversity9.07 Ratings00 Ratings
    Runtime API Authoring8.07 Ratings00 Ratings
    Function/Database Integration9.07 Ratings00 Ratings
    DevOps Stack Integration9.17 Ratings00 Ratings
    Best Alternatives
    AWS LambdaFirebase
    Small Businesses
    IBM Cloud Functions
    Score6.5 out of 10
    IBM Cloud Foundry
    Score8.5 out of 10
    Medium-sized Companies
    IBM Cloud Functions
    Score6.5 out of 10
    IBM Cloud Private
    Score9.6 out of 10
    Enterprises
    IBM Cloud Functions
    Score6.5 out of 10
    AWS Elastic Beanstalk
    Score8.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS LambdaFirebase
    Likelihood to Recommend
    7.5
    (52 ratings)
    7.4
    (31 ratings)
    Usability
    8.3
    (17 ratings)
    7.1
    (6 ratings)
    Support Rating
    8.7
    (20 ratings)
    7.3
    (6 ratings)
    User Testimonials
    AWS LambdaFirebase
    Likelihood to Recommend
    Amazon AWS
    Lambda excels at event-driven, short-lived tasks, such as processing files or building simple APIs. However, it's less ideal for long-running, computationally intensive, or applications that rely on carrying the state between jobs. Cold starts and constant load can easily balloon the costs.
    Incentivized
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    Google
    Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.
    Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.
    Incentivized
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    Pros
    Amazon AWS
    • No provisioning required - we don't have to pay anything upfront
    • Serverless deployment - it gets executed only when request comes and we pay only for the time the request is getting executed
    • Integrates well with AWS CloudWatch triggers so it is easy to setup scheduled tasks like cron jobs
    Incentivized
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    Google
    • Analytics wise, retention is extremely important to our app, therefore we take advantage of the cohort analysis to see the impact of our middle funnel (retargeting, push, email) efforts affect the percent of users that come back into the app. Firebase allows us to easily segment these this data and look at a running average based on certain dates.
    • When it comes to any mobile app, a deep linking strategy is essential to any apps success. With Firebase's Dynamic Links, we are able to share dynamic links (recognize user device) that are able to redirect to in-app content. These deep links allow users to share other deep-linked content with friends, that also have link preview assets.
    • Firebase allows users to effectively track events, funnels, and MAUs. With this simple event tracking feature, users can put organize these events into funnels of their main user flows (e.g., checkout flows, onboarding flows, etc.), and subsequently be able to understand where the drop-off is in the funnel and then prioritize areas of the funnel to fix. Also, MAU is important to be able to tell if you are bringing in new users and what's the active volume for each platform (Android, iOS).
    Incentivized
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    Cons
    Amazon AWS
    • Developing test cases for Lambda functions can be difficult. For functions that require some sort of input it can be tough to develop the proper payload and event for a test.
    • For the uninitiated, deploying functions with Infrastructure as Code tools can be a challenging undertaking.
    • Logging the output of a function feels disjointed from running the function in the console. A tighter integration with operational logging would be appreciated, perhaps being able to view function logs from the Lambda console instead of having to navigate over to CloudWatch.
    • Sometimes its difficult to determine the correct permissions needed for Lambda execution from other AWS services.
    Incentivized
    Read full review
    Google
    • Attribution and specifically multi-touch attribution could be more robust such as Branch or Appsflyer but understand this isn't Firebases bread and butter.
    • More parameters. Firebase allows you to track tons of events (believe it's up to 50 or so) but the parameters of the events it only allows you to track 5 which is so messily and unbelievable. So you're able to get good high-level data but if you want to get granular with the events and actions are taken on your app to get real data insight you either have to go with a paid data analytics platform or bring on someone that's an expert in SQL to go through Big Query.
    • City-specific data instead of just country-specific data would have been a huge plus as well.
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    Usability
    Amazon AWS
    I give it a seven is usability because it's AWS. Their UI's are always clunkier than the competition and their documentation is rather cumbersome. There's SO MUCH to dig through and it's a gamble if you actually end up finding the corresponding info if it will actually help. Like I said before, going to google with a specific problem is likely a better route because AWS is quite ubiquitous and chances are you're not the first to encounter the problem. That being said, using SAM (Serverless application model) and it's SAM Local environment makes running local instances of your Lambdas in dev environments painless and quite fun. Using Nodejs + Lambda + SAM Local + VS Code debugger = AWESOME.
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    Google
    I don't use the Firebase UI much, but rather connect it to GA4. GA4 has a great event model but the GA4 UI and analysis capabilities are limited. It's harder to measure product usage type of engagement but if you have the time and resources to leverage the GA4 to BiqQuery export you'll have all the raw event data you'll need for deep analysis, segmentation, and audience activation.
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    Support Rating
    Amazon AWS
    Amazon consistently provides comprehensive and easy-to-parse documentation of all AWS features and services. Most development team members find what they need with a quick internet search of the AWS documentation available online. If you need advanced support, though, you might need to engage an AWS engineer, and that could be an unexpected (or unwelcome) expense.
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    Google
    Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.
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    Alternatives Considered
    Amazon AWS
    AWS Lambda is good for short running functions, and ideally in response to events within AWS. Google App Engine is a more robust environment which can have complex code running for long periods of time, and across more than one instance of hardware. Google App Engine allows for both front-end and back-end infrastructure, while AWS Lambda is only for small back-end functions
    Incentivized
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    Google
    Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.
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    Return on Investment
    Amazon AWS
    • Positive - Only paying for when code is run, unlike virtual machines where you pay always regardless of processing power usage.
    • Positive - Scalability and accommodating larger amounts of demand is much cheaper. Instead of scaling up virtual machines and increasing the prices you pay for that, you are just increasing the number of times your lambda function is run.
    • Negative - Debugging/troubleshooting, and developing for lambda functions take a bit more time to get used to, and migrating code from virtual machines and normal processes to Lambda functions can take a bit of time.
    Incentivized
    Read full review
    Google
    • Makes building real-time interfaces easy to do at scale with no backend involvement.
    • Very low pricing for small companies and green-fields projects.
    • Lack of support for more complicated queries needs to be managed by users and often forces strange architecture choices for data to enable it to be easily accessed.
    Incentivized
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