AWS Elastic Beanstalk vs. Firebase

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Elastic Beanstalk
Score 8.5 out of 10
N/A
AWS 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).
$0
Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
Firebase
Score 8.2 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
AWS Elastic BeanstalkFirebase
Editions & Modules
No Charge
$0
Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
Phone Authentication
$0.01
Per Verification
Stored Data
$0.18
Per GiB
Offerings
Pricing Offerings
AWS Elastic BeanstalkFirebase
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 BeanstalkFirebase
Considered Both Products
AWS Elastic Beanstalk
Chose AWS Elastic Beanstalk
In some of the other companies that I've worked in, I've had the opportunity to work with the above softwares where the structure and architecture of the services was much complicated but the above softwares were able to handle it with more ease and efficiency. The complex …
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 …
Chose AWS Elastic Beanstalk
I have used App Engine on Google Cloud Platform and App Service on Microsoft Azure. Both offer similar capabilities to AWS Elastic Beanstalk. App Engine has the nice ability to scale to 0 instances when the application has not been in use for some time. This allows for …
Chose AWS Elastic Beanstalk
As it supports end to end flow of application deployment and not a part of any individual process like other AWS products, AWS Elastic Beanstalk can be a game changer in cloud industry.
Chose AWS Elastic Beanstalk
The AWS platform provides a great deal of configurability that is abstracted and provided very well through AWS Elastic Beanstalk. This is the main reason for choosing Elastic Beanstalk over competing services. Another reason for selecting AWS Beanstalk was vendor …
Chose AWS Elastic Beanstalk
I selected AWS Elastic Beanstalk mainly because we have been using AWS services for our company. Using AWS Elastic Beanstalk is relatively easier than starting to use a completely new cloud platform. But we are also reviewing Google App Engine, and found out Elastic Beanstalk …
Chose AWS Elastic Beanstalk
AWS Elastic Beanstalk is equivalent to Google App Engine in terms of product. I selected AWS Elastic Beanstalk because it was within the stack we were using, and it made sense for us given the other architecture.
Chose AWS Elastic Beanstalk
I use both EB and Lambda for different use cases. I normally use AWS Lambda for my smaller software needs.
Chose AWS Elastic Beanstalk
We now default to Amazon ECS, due to flexibility this gives us with how workloads scale, and more network flexibility as many of our workloads are internal / external facing. We selected Elastic Beanstalk at beginning of our containerization phase, which suited our needs …
Chose AWS Elastic Beanstalk
Azure currently doesn't have a solution that's similar to this but you can do a lot of the features with several of the components that Microsoft Azure offers. AWS Elastic Beanstalk exists in that niche market where if you have an existing solution, this is a great way to move &…
Chose AWS Elastic Beanstalk
We were already hosting on AWS so it just made sense to keep our infrastructure where we have it. And it all works pretty nicely.
Chose AWS Elastic Beanstalk
AWS is much more focused on scalability, but Heroku was much easier to get things up and running as a beginner. For simple hosting, I would stick to something like Heroku or Netlify. That said, Elastic Beanstalk is meant for more performant functions requiring large scaling and …
Chose AWS Elastic Beanstalk
AWS Elastic Beanstalk is a great option for an organization that's already invested in the AWS ecosystem. The greater the number of complementary features needed by the application (e.g. integrating with Amazon's Elastic Load Balancer, databases, etc), the greater the reward …
Chose AWS Elastic Beanstalk
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 …
Chose AWS Elastic Beanstalk
We ended up with AWS Lambda to take workload off the developers and develop in tandem, then later integrate. We use both though.
Chose AWS Elastic Beanstalk
I enjoyed that Lightsail was so simple to provision and access via the in-browser SSH terminal, but ultimately Elastic Beanstalk is a more robust offering that interfaces seamlessly with more of AWS's other services. Elastic Beanstalk is also better equipped to automate …
Chose AWS Elastic Beanstalk
I selected these solutions because they are the closest to being able to set up separate server or VM instances. As far as performance and scalability, Heroku does offer an autoscale option, but the base cost to have the autoscale in place, sets Heroku behind EBS. Digital …
Chose AWS Elastic Beanstalk
We didn't use Lambda much till now. We, however, found better control of resources in EBS.
Chose AWS Elastic Beanstalk
Honestly, I haven't tried any other alternative products. As already mentioned, I am already heavily invested in AWS, so EBS was a natural choice for me. In other reviews, I have found, AWS is better than its competitors. There are more flavors, and options in AWS, better …
Chose AWS Elastic Beanstalk
Heroku is another similar product which we had tried out to deploy one of the NodeJs project and it has lot of developer friendly features as well. Though Heroku is more expensive than Beanstalk is what I found. Heroku also has some restrictions which can affect the …
Chose AWS Elastic Beanstalk
The other main competitor that I have used would probably be Heroku. While Heroku is incredibly simple and easy to get a sample web app online, its dashboard and product connectivity didn't feel quite as seamless as AWS Elastic Beanstalk. AWS Elastic Beanstalk has a higher up …
Firebase
Chose Firebase
I actually only have experience with Firebase. It's for a good reason. It's the first database I worked with and just stuck with it. It's beginner friendly while offering advanced tool.
Chose Firebase
Firebase provides an event based data model with well defined pre-determined dimensions. Where I've seen the strength of other platforms is the user interface where data is analyzed. However, other platforms such as AEP also have advanced data cleansing and standardization …
Chose Firebase
Supabase is more user-friendly especially since it is directly integrated with Lovable, one of the most popular AI coder for non-technical users.
Chose Firebase
Supabase seems to have the best of all worlds right now. Followed by MongoDB/Firebase for smaller projects requiring less manpower and resources. Azure and Microsoft are reserved for existing projects and larger corporate clients.
Chose Firebase
Although there are other backend platforms that could have provided us with a solution to our project. The way of grouping the solution in FIREBASE, atomizing in the same project the database, cloud functions, authentication, push notifications, etc., has given us a clearer …
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 …
Chose Firebase
Firebase came to a multiuse case for our product for authenticating backend services, users on the app & get data on the user base using the dashboard.
Chose Firebase
Firebase has a single NoSQL database, it is a simple, powerful and uniform application development platform in connectors, it has multiple programming languages ​​such as JavaScript and necessary tools that will simplify the creation of applications.
Chose Firebase
Firebase poses great documentation and integration with Android devices. And it's very good as well for iOS ones. So, for these scenarios, Firebase becomes the ideal ally.
Chose Firebase
It eases the app development process, has an extensive database that allows you to store media files in the cloud, supports robust uploads and downloads, and login authentication on any platform.
Chose Firebase
PostgreSQL is a relational database and is well suited for complex applications, however, Firebase is well suited for light and faster applications.
Chose Firebase
Firebase is easy to manage and scale really well for web application services. It offers better authentication and is easy to implement. For real-time analytics on web applications, it works very well. Firebase offers more features compared to other services especially it can …
Chose Firebase
  • User interface and console are very easy to understand
  • There is no pain in Integration with IOS, Android, and unity platforms
  • Cost-effective
Chose Firebase
We choose Firebase for various reasons:
  • A large set of resources and world-class Google support.
  • Pricing was a larger role in this decision.
Chose Firebase
If I get a suitable budget next year, I'll be switching us to Adobe Analytics. Their app/web tracking and the interface are streets ahead of Firebase.
Chose Firebase
Firebase is a much more comprehensive tool. While Fabric only had user traffic and trends data, it did not have the user communication set of tools. While CleverTap has CRM tools, it does not have tools for developers and product teams. While Adobe Analytics is good with …
Chose Firebase
I haven't played much with Heroku beyond deploying projects from Github. It looks to be very similar in providing a cloud-based platform for developing and deploying web apps as quickly as possible. I would look at comparing both of these before choosing a solution. I am just …
Chose Firebase
We chose Firebase for the following reasons.
  • Online resources.
  • Comes with better support.
Chose Firebase
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 …
Chose Firebase
Firebase does a lot of things well, but Branch.io does a lot of things great. We originally chose Firebase because it was free, had great crash reporting, and full event tracking. As we began to scale, increase paid marketing spend, and implement features such as journey …
Chose Firebase
It's tough to pick out competitors against Firebase as I'm really unsure and doubt there's another product exactly like it. As mentioned before Firebase literally does everything you can imagine for a mobile application but doesn't get insanely deep in one feature or action. It …
Chose Firebase
Firebase is well suited for projects with simpler database workloads that require its real-time features. For data that is heavily read in real time, it's a great choice and gives developers a lot of features that would have been complicated and time-consuming to build up front …
Features
AWS Elastic BeanstalkFirebase
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
AWS Elastic Beanstalk
7.8
Ratings
1% above category average
Firebase
-
Ratings
Ease of building user interfaces8.00 Ratings00 Ratings
Scalability7.00 Ratings00 Ratings
Platform management overhead8.00 Ratings00 Ratings
Workflow engine capability7.00 Ratings00 Ratings
Platform access control8.00 Ratings00 Ratings
Services-enabled integration8.00 Ratings00 Ratings
Development environment creation7.00 Ratings00 Ratings
Development environment replication8.00 Ratings00 Ratings
Issue monitoring and notification8.00 Ratings00 Ratings
Issue recovery9.00 Ratings00 Ratings
Upgrades and platform fixes8.00 Ratings00 Ratings
Best Alternatives
AWS Elastic BeanstalkFirebase
Small Businesses
AWS Lambda
AWS Lambda
Score 8.2 out of 10
AWS Lambda
AWS Lambda
Score 8.2 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 9.1 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.1 out of 10
Enterprises
Red Hat OpenShift
Red Hat OpenShift
Score 9.1 out of 10
Red Hat OpenShift
Red Hat OpenShift
Score 9.1 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Elastic BeanstalkFirebase
Likelihood to Recommend
7.0
(0 ratings)
7.3
(0 ratings)
Likelihood to Renew
7.9
(0 ratings)
-
(0 ratings)
Usability
7.0
(0 ratings)
7.0
(0 ratings)
Support Rating
8.0
(0 ratings)
7.3
(0 ratings)
Implementation Rating
7.0
(0 ratings)
-
(0 ratings)
User Testimonials
AWS Elastic BeanstalkFirebase
Likelihood to Recommend
AWS Elastic Beanstalk is well suited for [the] rapid development of applications that use standard compute platforms based on popular programming languages. So getting a Go, Python, Ruby, or Node.js app going in AWS Elastic Beanstalk will be easy. For non-standard applications, containers provide another option for using AWS Elastic Beanstalk. In either case, AWS Elastic Beanstalk is well suited for applications that are [self-contained]. AWS Elastic Beanstalk is also good for development or test environments that need a built-in deployment method. AWS Elastic Beanstalk is less appropriate for complex applications that rely on multiple AWS services. While deploying and running the base code might be easy to get going, it may be difficult to apply permissions and integrations with the other services.
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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.
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Pros
  • Extremely easy to get set up and get apps deployed.
  • Integrates really well with existing build processes and is manageable through a suite of CLI tools.
  • It is very easy to scale up.
  • The documentation is exceptionally detailed and covers a very wide range of deployment scenarios.
Read full review
  • Extremely robust. Has about any tool you can think of under one roof making it extremely useful as a backup platform for data analytics or small teams that need something quickly.
  • Intuitive and easy UI/UX. Being made and owned by Google, you expect nothing less. Very easy to use for anyone that has any marketing or analytical experience especially in Google Analytics (which I just assume all marketers do).
  • Safe, secure, and sturdy. Never need to worry about downtimes or misinformation as it's as clean and safe as it is being run by Google.
  • FREE! What else is there to say. Unless you're an extremely large application handling hundreds of thousands to millions of users, this pay as you go plan will stay free.
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Cons
  • How to more easily integrate with other other AWS services. There are plenty out there, but it's not quite as seamless as I feel like it should be to mix and match products.
  • Make backing up easier when scaling the server. It took quite a bit of time to make sure we had everything set up in case something went wrong.
  • When you are first starting to use AWS, the dashboard can be very intimidating. There are countless products all with names that aren't very indicative of what they actually do.
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  • Firebase/Firestore has very limited support for querying more complicated items; for example, performing a simple string search is not possible.
  • While upfront costs are low, costs can grow quickly if you're not careful about what you are being billed for.
  • Dashboards have at times shown different information to what is billed, and support from Google is less than stellar and not as effective as that from Amazon or Microsoft.
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Likelihood to Renew
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.
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No answers on this topic
Usability
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
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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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Support Rating
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.
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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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Implementation Rating
- 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.
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No answers on this topic
Alternatives Considered
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 platforms. The only thing is their documentation and UX are a bit old, which doesn't stop it from performing greatly, but yes, if you are looking for better UX, then you can check out other options.
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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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Return on Investment
  • Elastic Beanstalk removes countless hours from development team responsibility, freeing up those resources to instead focus on building the products that our customers want to use.
  • As a business that is already embedded into using EC2 instances, it's essentially free to leverage the work that AWS performs on configuring the Elastic Beanstalk stacks.
  • With Elastic Beanstalk, while there is still a responsibility to ensure that applications can work with updated underlying dependencies, it's much easier when AWS handled the heavy lifting of updating the stacks.
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  • Firebase has been able to help us understand reliably, the drop-off in our user flows with their funnel feature. This has made it easy for us to be able to pinpoint weaknesses in our funnel and test and optimize with data as the dependent variable.
  • From an economic standpoint, we don't pay for Firebase which is great, but as the saying goes "You get what you pay for" also holds true in this context. As we looked to grow and scale, we looked for a paid solution.
  • From a developer resource standpoint, Firebase has been extremely easy to integrate into our app. Whether it be the event tracking, dynamic links or crash reporting we have not had to waste too much developer time thanks to their well-organized developer docs.
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