Amazon Cognito vs. Firebase vs. Microsoft Entra Verified ID

Well Suited

1. B2C mobile and web apps with a high number of users.
2. Cheaper and cost-effective.
3. If the other pieces of the infra are already using AWS services like Lambda, S3, Pinpoint, etc.

Not Suited For:

1. Advanced use-cases (Biometrics based authentication) Email, and other MFA channels.
2. For any use-cases needing SCIM.
3. Customized flows of SSO, and MFA will need a layer on Lambda and other AWS services.

Incentivized

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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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• Strong integration with React.js and client-side applications
• Easy to bridge Cognito identities with the rest of the AWS ecosystem
• Easy to store user profile data directly in Cognito rather than having to build additional services/endpoints
• Easy integration with AWS Lambda to extend and add sophistication to the service

Incentivized

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• 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).

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• Amazon Cognito has a bit of a learning curve. You need to learn its concepts and terminology. The documentation does not describe some topics comprehensively.
• Some Console screens would benefit from improved search and filtering options.
• When another AWS product (e.g., SageMaker) configures Cognito on your behalf, it is not clear what you're getting. For example, the expiration of a temporary password was configured but never communicated.

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• 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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Amazon Cognito is easy to use and implement if you don't need to implement custom policies. But if your security team requires something outside the box, then implementation becomes complicated and you risk wasting time. There is no option for customizable regex for passwords, which is a major deficiency. The standard password policy, allow to choose the length of the password, if it should contains at least one number, one special character, one uppercase letter and one lowercase letter.

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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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Community support is excellent, many times even better and quicker then the offical AWS support. I really cannot recommend community support enough! Apart from that the service is relativily easy to use and does not have a huge learning curve. Examples are easy to follow and will help you start using the service.

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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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They are ideal tools to create a secure and unique login experience for our applications. Thanks to its API authorization, Amazon Cognito ensures connections to applications that are secure.It is easy to use and provides easy access to files and applications that you need to complete your goal.

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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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• ROI is great for Amazon Cognito Overall.
• It is included in the AWS Free Tier so you can use it for a good amount without paying, so the software can be tested beforehand.
• The paid pricing is also affordable, so a positive impact on ROI.

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• 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

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info