Amazon Web Services offers the Amazon Simple Notification Service (SNS) which provides pub/sub messaging and push notifications to iOS and Android devices. It is meant to operate in a microservices architecture and which can support event-driven contingencies and support the decoupling of applications.
$0.01
per 1 million
Firebase
Score 8.4 out of 10
N/A
Google 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
Amazon Simple Notification Service (SNS)
Firebase
Editions & Modules
API Requests & Payload Data
$0.01
per 1 million
API Requests
$0.50
per 1 million requests
Notification Deliveries
$0.50
per million notifications
Phone Authentication
$0.01
Per Verification
Stored Data
$0.18
Per GiB
Offerings
Pricing Offerings
Amazon SNS
Firebase
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Amazon Simple Notification Service (SNS)
Firebase
Considered Both Products
Amazon SNS
Verified User
Professional
Chose Amazon Simple Notification Service (SNS)
We use AWS and becasue Amazon SNS can be easily integrated with AWS.
The Amazon SNS service is well suited to support event notifications, monitoring applications, workflow systems, time-sensitive information updates, and mobile applications that generates or consumes notifications. It can be used to relay time-critical events to mobile applications and devices. It provides significant advantages to developers who build mobile applications that rely on real-time events. It is not well suited for hybrid cross platform mobile application frameworks at this juncture. An optimal version to meet the needs of a cross platform mobile developer is needed as generally the frameworks are not meant to manage real-time events. It is also not suited for cases where the queue management needs improvement or requires special workflows/tooling.
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.
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).
At times you receive access denied errors which are annoying.
Rarely do you receive internal failure errors where you can't access the information. It is rare but it does happen.
You are required to add an MWS Authentication Token every so often. I wish it would pull that information automatically for you so you don't have to go searching for it.
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.
It is useful for applications developed using event driven architecture. It helps in tracking and logging the events in a very timely and efficient manner. The dashboards are a little difficult to implement. But overall it is very easy to integrate with other AWS services like Lambda, API GW, S3 and DynamoDB. The permissions to access should be resolved before using it.
It is simple to use overall, the console's main menu is divided into Develop, Quality, Analytics and Grow - which have further subdivisions by their set of features and tools. Develop and Quality are relevant for product and tech. Analytics is relevant for product, analytics and Grow is relevant for marketing. This makes the overall use very easy.
Amazon Simple Notification Sevices (SNS) support depends on your usage pattern and definitely on your support plan as an enterprise with AWS. Before reaching out to support you should read their documentation, as they have mentioned almost all the common issues and their solutions there. However, for specific issues, they generally respond in 1-2 business days.
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.
Amazon’s SNS is incredibly easy to set up compared to the more powerful, but complex, Kafka flavours.
SNS’s core advantages are –
· no setup/no maintenance
· either a queue (SQS) or a topic (SNS)
· various limitations (on size, how long a message lives, etc)
· limited throughput: you can do batch and concurrent requests, but still achieving high throughputs would be expensive
· SNS has notifications for email, SMS, SQS, HTTP built-in.
· no "message stream" concept Overall, it would be the best choice to get into the concepts of Pub/Sub concepts as although it has limitations it can provide significant capabilities and solutions
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.
Amazon Simple Notification Service (SNS) saved us a lot of extra coding time by providing straightforward functionality we needed in our ad campaign automation tool.
Amazon Simple Notification Service (SNS) allows us to maintain a consistent, serverless model within our applications.
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.
