Google App Engine is Google Cloud's platform-as-a-service offering. It features pay-per-use pricing and support for a broad array of programming languages.
$0.05
Per Hour Per Instance
Microsoft Azure
Score 8.4 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
SAP Business Technology Platform
Score 8.5 out of 10
N/A
SAP Business Technology Platform (SAP BTP) is the company's Platform-as-a-Service (PaaS) offering, that brings together intelligent enterprise applications with database and data management, analytics, integration and extension capabilities into one platform for both cloud and hybrid environments, including hundreds of pre-built integrations for SAP and third-party applications.
N/A
Pricing
Google App Engine
Microsoft Azure
SAP Business Technology Platform
Editions & Modules
Starting Price
$0.05
Per Hour Per Instance
Max Price
$0.30
Per Hour Per Instance
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
No answers on this topic
Offerings
Pricing Offerings
Google App Engine
Microsoft Azure
SAP Business Technology Platform
Free Trial
No
Yes
Yes
Free/Freemium Version
Yes
Yes
Yes
Premium Consulting/Integration Services
No
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
Compared with Microsoft Azure, Google App Engine requires a more complicated development environment setup. It's not as simple as using Visual Studio 2015 with Azure SDK. There are multiple IDE on the market to choose from for developing apps for Google App Engine. JetBrains …
If you have a small team which is also responsible for development of the product then surely go for it. And if you have a larger team with dedicated person to take care of deployments. Go for cheaper options such as compute engine or AWS (be sure to do your research on pricing …
We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as …
I think that Microsoft and Amazon are simply investing more in their offerings, and there are a bunch of cool PaaS solutions out there as well. Google App Engine is solid, and is probably the right choice for some projects. But ultimately one should evaluate each platform …
We have settled with Microsoft Azure considered its effective administration and the ability to data visualization and analysis, together with the top-notch security/stability.
I have used but not evaluated some other products that are similar to SAP Business Technology Platform, like Microsoft Azure. The principle is the same: cloud computing platform and infrastructure for building, deploying, and managing applications and services. It offers …
SAP Business Technology Platform is easily connectable using standard solutions to the onpremise backend SAP systems. Services can be linked with each other and with SAP systems in a managed and secure way, while with the other products getting the data, access and networking …
Initially, SAP Business Technology Platform works hand in hand with S/4 HANA and the SAP product suite, but also can go and extra mile and integrate with other non-SAP products and services at hand. It's capable enough to understand the ERP use cases component and develop …
I selected SAP Business Technology Platform because it seamlessly integrates ERP and business applications, providing a clear and unified environment for data management and analytics.
SAP Business Technology Platform provides the services in a kind of ready-to-use. There is no requirement to first configure a whole environment. It makes it easy to just use the services and create new solutions on top of that.
Ability to develop and customise to handle complex business processes. It's cost effective despite being a bit more and time taking to implement, as it enhances labor savings. Not just in customer service, it has similar benefits in finance, warehousing, delivery and web …
App Engine is such a good resource for our team both internally and externally. You have complete control over your app, how it runs, when it runs, and more while Google handles the back-end, scaling, orchestration, and so on. If you are serving a tool, system, or web page, it's perfect. If you are serving something back-end, like an automation or ETL workflow, you should be a little considerate or careful with how you are structuring that job. For instance, the Standard environment in Google App Engine will present you with a resource limit for your server calls. If your operations are known to take longer than, say, 10 minutes or so, you may be better off moving to the Flexible environment (which may be a little more expensive but certainly a little more powerful and a little less limited) or even moving that workflow to something like Google Compute Engine or another managed service.
Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
If you want to use a well-designed SAP technology to shift into the cloud, you will be more than satisfied with the BTP services overall. There are some improvements for beginners to help them get a better overview of what to do and how to start with their account. My recommendation is to take a foundation training course from the SAP learning hub to prepare for the first steps.
Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
All the documentation around it is geared towards the enterprise use case, unlike some other hyperscalers' platforms.
The SAP Business Technology Platform is very good because it's got the SAP customer and their business processes in mind. Probably my favorite thing about it is how easy it is to get up and running with a new use case and how well it natively connects to an SAP solution.
There is a slight learning curve to getting used to code on Google App Engine.
Google Cloud Datastore is Google's NoSQL database in the cloud that your applications can use. NoSQL databases, by design, cannot give handle complex queries on the data. This means that sometimes you need to think carefully about your data structures - so that you can get the results you need in your code.
Setting up billing is a little annoying. It does not seem to save billing information to your account so you can re-use the same information across different Cloud projects. Each project requires you to re-enter all your billing information (if required)
The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
The documentation needs to be improved, and some advanced configuration options require research and experimentation.
Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
The Automation Integration service has some outdated workflows
New services should be available as entitlements as soon as they are released for a particular region without having to buy them from SAP for zero dollars
Any subaccount should be able to change the IAS tenant. Currently, if you set it up for a particular IAS, you cannot change to another tenant and are required to recreate the services in a new subaccount.
App Engine is a solid choice for deployments to Google Cloud Platform that do not want to move entirely to a Kubernetes-based container architecture using a different Google product. For rapid prototyping of new applications and fairly straightforward web application deployments, we'll continue to leverage the capabilities that App Engine affords us.
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
Seamless integration with external system and dashboard to monitor the data flow and analysis are very essential for the business. The way the product is designed and modelled lead to minimum business disruptions. Adopting to the new and modern technology was easy. Keeping the central system as clean and adopting project bases development are advantages.
I had to revisit the UI after a year of just setting up and forgetting. The UI got some improvements but the amount of navigation we have to go through to setup a new app has increased but also got easier to setup. Gemini now is integrated and make getting answers faster
As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
Okay, so the content that we have built on the platform is limited to specific testing on the iFlows within integration suite. The visualization layer is nice to use and helps with the design elements, however with developers that are more used to markup languages, it doesn't have the same CLI type feel when you want it. Perhaps the majority of users are that deep, but other platforms have a better CLI type developer experience.
Good amount of documentation available for Google App Engine and in general there is large developer community around Google App Engine and other products it interacts with. Lastly, Google support is great in general. No issues so far with them.
We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
The biggest problem we ran into was communication between SAP Business Technology Platform and onsite resources. Unfortunately our SAP Business Technology Platform and Cloud systems are under different customer numbers. I constantly had to open tickets under each customer number because I was unsure of where the issue lied. And having to create a dummy ticket for our ECC systems to open the ECC connections for another ticket under the Cloud customer is a pain.
Training material in Developers Community or from Learning hub are really good... also most of the time we route through Discovery center... so materials provided by SAP is really good.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
Having a full cloud native environment for devlopment of microservices and digitals solutions while having standardized access to our core data on SAP via cloud connector is one of the main benefits of using BTP over others hypervisors. BTP is the standard hyperscaler as soon as something relies on data from SAP systems in our company now
We were on another much smaller cloud provider and decided to make the switch for several reasons - stability, breadth of services, and security. In reviewing options, GCP provided the best mixtures of meeting our needs while also balancing the overall cost of the service as compared to the other major players in Azure and AWS.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
SAP Concur allows our staff to book, reimburse and remain spend audit compliant. Our Concur system takes feed from Workday and interacts with Credit card vendor. It also makes posting to Accounting and does clearing. SAP Business Technology Platform helped in establishing connection with all these different tools in real time. It helps in getting paid to the card service provider through our Bank through interface, which is built on SAP Business Technology Platform.
Effective integration to other java based frameworks.
Time to market is very quick. Build, test, deploy and use.
The GAE Whitelist for java is an important resource to know what works and what does not. So use it. It would also be nice for Google to expand on items that are allowed on GAE platform.
For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
Infusing Generative AI capabilities easily into our solutions with existing talent with minimal learning curve, has been very impactful. We have been able resolve several challenges for our clients with AI capabilities, that we could not, previously.
Integration Suite is quite extensive in capabilities for bringing together the IT landscape into a single ecosystem.
