

Google Compute Engine and SAP S4HANA on AWS compete in cloud services. SAP S4HANA on AWS appears to have the upper hand due to its superior real-time processing and advanced analytics.
Features: Google Compute Engine offers flexible virtual machine customization, preemptible VMs for cost savings, and seamless integration with Google services for automation. SAP S4HANA on AWS provides an in-memory database, real-time data processing, and comprehensive analytics capabilities, ideal for ERP systems in financial and manufacturing sectors.
Room for Improvement: Google Compute Engine could improve its user interface, simplify security settings, and enhance intuitive auto-scaling features. SAP S4HANA on AWS is criticized for its high cost, complex integration, and a need for a more modern GUI with better support for additional cloud providers.
Ease of Deployment and Customer Service: Google Compute Engine offers straightforward deployment on public cloud infrastructure with community-driven support, though customer support can be inconsistent. SAP S4HANA on AWS provides multiple deployment options, including hybrid and private clouds, with generally reliable support, although the setup can be complex and requires careful planning for optimal integration.
Pricing and ROI: Google Compute Engine's pay-as-you-go model offers flexibility and cost-effectiveness, particularly in development and testing environments, benefiting from integration with other Google services. SAP S4HANA on AWS is more expensive with substantial initial investments, but large enterprises find the comprehensive service quality justifies the cost for robust, integrated solutions.
On a very good implementation, usually, if the scale of the business is large, the implementation can give a payback within six, seven, or eight months of implementation.
Although our investment was higher compared to the previous ERP system, we are able to derive ROI from SAP S4HANA on AWS.
We received the right support during our implementation and continue to benefit from it.
They have a support model available, with first-level support handling initial issues when I integrate the system.
AWS has been running probably 96% of Fortune 500 companies across the globe, so scalability is not an issue.
For scalability and the ability to expand, I would also rate it an eight.
The product is versatile and can manage complexity beyond expectations.
The stability of Google Compute Engine is on par with other servers, akin to using instances from AWS, as no one needs any downtime.
As a finance controller, we have seen improvements in finance deliverables, SLAs in payables, and reconciliation timelines.
I would rate the stability of SAP S4HANA on AWS an eight out of ten.
I have noticed a positive impact since the deployment of Google Compute Engine; it is simpler.
The interface and interaction with the technical team require intensive training.
Having these integrations as a single source rather than working in silos would be beneficial for customers.
For smaller data, SAP S4HANA on AWS works, but it is not as efficient for mid-tier companies where the employee count exceeds five hundred or six hundred.
It is difficult to recommend GCP due to its complex architecture.
SAP is not cheap, with many hidden costs encountered during implementation.
The main issue is the pricing, which is typically too high for small companies.
The initial setup required a higher investment, but the return on investment has justified the cost.
In GCP, there's a custom configuration feature unlike AWS and Azure.
What I like the most about Google Compute Engine is SSH access and the different price categories.
From the finance side, we have enhanced our internal controls and reduced the timeline for closing the month from a year to just two days.
In terms of usage and automation, SAP S4HANA on AWS is very good at automation, where instead of manually punching entry by entry as with Tally, Zoho, or NetSuite, you can do a bulk upload and close it from one GL to another GL entry from one T-code to another T-code.
The costing and personnel planning integration are among the strongest areas of this solution.
| Product | Mindshare (%) |
|---|---|
| SAP S4HANA on AWS | 2.3% |
| Google Compute Engine | 1.3% |
| Other | 96.4% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 8 |
| Large Enterprise | 16 |
Google Compute Engine provides scalable virtual machines for hosting applications and services with integration into Google's ecosystem. Offering cost-saving options and customizable machine configurations, it supports high availability, effective migration, and flexible resource allocation.
Google Compute Engine stands out by offering seamless integration with Google services and cost-effective options such as Spot VMs and auto-scaling. With SSH access, customizable machine configurations, managed instance groups, and robust API integration, it provides a powerful platform. Enhanced by comprehensive documentation, it supports businesses in their cloud computing and storage requirements. While it is a robust solution, enhancements are needed in SQL query construction, user interface for non-tech users, multi-region support, and container deployment UI. Simplification of security setups and licensing processes, including BYOL, and improvements in hardware availability outside North America could enhance functionality further. Users benefit from its networking capabilities across multiple regions and features like instance templates and managed instances for consistent configurations and high availability, making it a reliable solution for testing, disaster recovery, and migrating workloads from on-premises environments.
What are the key features of Google Compute Engine?In industries such as technology and e-commerce, Google Compute Engine facilitates rapid deployment of virtual machines for hosting applications and services. It supports efficient testing, disaster recovery operations, and workload migration, making it a valuable asset in dynamic business environments that demand reliable cloud solutions.
SAP S4HANA on AWS integrates seamlessly for users, offering robust real-time analytics and AI features. It excels in performance, security, and scalability with AWS, optimizing infrastructure costs and enhancing complex business functions.
SAP S4HANA on AWS is valued for its automation and integration across devices with Fiori, providing users with a strong database, real-time analytics, and AI enablement. It offers high performance, security, and scalability, making it suitable for complex business processes in finance, manufacturing, and data management. Users benefit from predictive analysis and advanced analytics, ensuring stability and efficiency for business operations on AWS's robust cloud infrastructure.
What are the key features of SAP S4HANA on AWS?SAP S4HANA on AWS supports diverse industries such as finance, procurement, sales, and HR. Enterprises leverage its comprehensive ERP functionalities for real-time data management and streamlined processes. AWS's strong cloud infrastructure makes it ideal for large-scale operations, enabling integration and flexibility for technical adaptability across business processes.
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