Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0
per month GB
SAP Business Technology Platform
Score 8.4 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 Compute Engine
SAP Business Technology Platform
Editions & Modules
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
No answers on this topic
Offerings
Pricing Offerings
Google Compute Engine
SAP Business Technology Platform
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.
SAP Business Technology Platform is highly suitable for AI agentic development, particularly when workflows require dynamic orchestration, modular service integration, and real-time decisioning. However, it may be less effective in environments where backend services are fully encapsulated and do not expose interfaces or events that SAP Business Technology Platform can interact with—limiting its ability to orchestrate or extend those services meaningfully.
Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs
Services are operated by SAP with outstanding support, always giving a helping hand even if it is custom code or solution provided on the platform
Services are easily connectable via standard approach to our backend SAP systems in SAP Rise/HEC
Secure access using identities from our existing identity management helping us to safeguard data security from within SAP systems up to custom frontend applications
For IAG, if there are multiple roles it can be overwhelming from an UX standpoint.
Controlling and identifying shadow user creation is not as intuitive.
Unlocking admin rights to an environment seems very easy if having elevated permissions, this seems like something that should have more controls rather than being able to unlock admin rights yourself.
Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
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.
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
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.
Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.
The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
Google support was great and their presence on site was very helpful in dealing with various issues.
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.
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
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.
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 intelligent applications to satisfy the users.
Still using traditional devops instead of using build. Very high cost in development.
Still using Node.js instead of REST ABAP. Additional cost of resources. Migration of current CAP to RAP will be costly and do not have a business case yet. Continue with multi-language is costly.
Integration suite is power but the migration from PIPO to IS has been more challenging than being advertised.
