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).
$35
per month
Google Ads
Score 8.4 out of 10
N/A
Google Ads (formerly AdWords) is Google's pay-per-click online advertising program. With Google Ads users set their budget and choose where their ads appear in search listings, and on partner websites. Google Ads uses cost-per-click (CPC) bidding.
$500
in Ads credit in the first 60 days
Pricing
AWS Elastic Beanstalk
Google Ads
Editions & Modules
No Charge
$0
Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
Offer A
$500
in Ads credit in the first 60 days
Offer B
$1500
in Ads credit in the first 60 days
Offer C
$3000
in Ads credit in the first 60 days
Offerings
Pricing Offerings
AWS Elastic Beanstalk
Google Ads
Free Trial
No
No
Free/Freemium Version
Yes
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
AWS Elastic Beanstalk
Google Ads
Features
AWS Elastic Beanstalk
Google Ads
Platform-as-a-Service
Comparison of Platform-as-a-Service features of Product A and Product B
AWS Elastic Beanstalk
7.8
28 Ratings
0% above category average
Google Ads
-
Ratings
Ease of building user interfaces
8.018 Ratings
00 Ratings
Scalability
7.028 Ratings
00 Ratings
Platform management overhead
8.027 Ratings
00 Ratings
Workflow engine capability
7.022 Ratings
00 Ratings
Platform access control
8.027 Ratings
00 Ratings
Services-enabled integration
8.027 Ratings
00 Ratings
Development environment creation
7.027 Ratings
00 Ratings
Development environment replication
8.028 Ratings
00 Ratings
Issue monitoring and notification
8.027 Ratings
00 Ratings
Issue recovery
9.025 Ratings
00 Ratings
Upgrades and platform fixes
8.026 Ratings
00 Ratings
Ad Campaigns
Comparison of Ad Campaigns features of Product A and Product B
AWS Elastic Beanstalk
-
Ratings
Google Ads
6.9
11 Ratings
8% above category average
Ad campaign creation
00 Ratings
7.711 Ratings
Ad deployment
00 Ratings
7.310 Ratings
Display advertising
00 Ratings
7.410 Ratings
Ad display and retargeting segmentation
00 Ratings
7.411 Ratings
Sequence targeting
00 Ratings
6.510 Ratings
Contextual advertising
00 Ratings
6.810 Ratings
Social advertising
00 Ratings
5.35 Ratings
Ad Reporting & Analytics
Comparison of Ad Reporting & Analytics features of Product A and Product B
AWS Elastic Beanstalk
-
Ratings
Google Ads
7.2
11 Ratings
5% above category average
Ad dashboards
00 Ratings
7.211 Ratings
Ad performance reports
00 Ratings
7.911 Ratings
Ad conversion tracking
00 Ratings
7.311 Ratings
Ad attribution reporting
00 Ratings
7.211 Ratings
Ad forecasting and optimization
00 Ratings
6.611 Ratings
Ad Auctions
Comparison of Ad Auctions features of Product A and Product B
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.
Google Ads is a useful advertising tool to build brand exposure and generate lead volumes for your chosen product. Whilst it can be costly at times due to competitor bidding strategies and requires constant monitoring to ensure campaigns perform as expected, it typically provides the desired quality and quantity of leads for custom budgets.
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.
Automated targeting via Smart Shopping campaign. It's one of the best campaign types in Google Ads. In the beginning, you may see lower revenue and ROAS, but once you give some meaningful time to your campaign, it is most likely to perform well.
Smart bidding strategies: Google Ads has developed some really great bidding strategies such as maximizing conversion and maximizing conversion with ROAS settings. Based on one's requirement and their goal with revenue and target ROAS, they can choose the appropriate bidding strategy.
Reporting: A business owner and advertising must know about their audiences, how their campaigns have been performing, what's working and what's not, and for that reason, powerful, effective reporting is needed, and Google Ads provides rich details reporting that covers almost every aspect of a business.
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.
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.
I think Google Ads is good for getting your company out there and becoming more visible to potential customers in general. However, for specific product launches, social media advertising might be a better fit. Also, our user base is younger so social media is a better channel for our target audience.
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
This is more of a subjective rating, because I think it can be increased with how much our ad spend is. The more of an ad spend, the more visibility we can get, and therefore all features can climb. With an overall larger presence the usability is that where we can get messages out quick, and that's the main thing we try to do with our campaigns.
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.
We have not yet had an account rep who hasn't tried to bully me or other employees to raise our budgets. At the same time, several years ago, one attempted to help refine our ads and ended up changing the ads to be something we were not affiliated with
- 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.
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.
Our agency invests heavily in Google Ads (particularly paid search advertising) on behalf of our clients relative to competitors like Microsoft and Yahoo because Google is the top search engine in the world. Google collects the most search data which enables the company to improve its AI to drive better performance for agencies and brands. As such, our paid search and app install campaigns always start with Google. If a client has a large budget, we will allocate media dollars to other search engines, but in some cases, the entire search budget goes to Google because we see the best returns.
Google Ads is often one of our highest ROI channels, especially when you factor in branded ads.
Depending on the stage your business is in, search ads can be really powerful from an ROI perspective, providing an investment with a very high spend cap.
If you do not manage the campaigns well though, you can quickly spend a lot of money on nothing. So make sure someone is keeping an eye on your account.