The SAP Analytics Cloud solution brings together analytics and planning with integration to SAP applications and access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help make decisions without doubt.
$36
per month per user
SAP Datasphere
Score 8.3 out of 10
N/A
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…
N/A
Pricing
SAP Analytics Cloud
SAP Datasphere
Editions & Modules
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
No answers on this topic
Offerings
Pricing Offerings
SAP Analytics Cloud
SAP Datasphere
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
A 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.
SAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting …
SAP Analytics Cloud vs. Microsoft Power BI:Cost: Power BI is often perceived as a cost-effective solution, especially for organizations already using Microsoft products. SAP Analytics Cloud might be seen as a higher-cost option.Integration: SAP Analytics Cloud may have an edge …
SAC includes predictive analytics features, allowing users to perform advanced analytics and forecast future trends. This can be a valuable asset for organizations seeking predictive modeling capabilities.
It has an integration with the SAP landscape, seek a unified platform for …
We select SAP Analytics Cloud due to meet our all dashboards need, data integration, enrich option of modern data visualization, instant & enhance user experience. Agile supply chain planning and forecast easily doable from SAP Analytics Cloud. finally these all aspect make us …
I do not have decision making ability for anything within my company. I believe it was chosen specifically for how easy it is to use and the ability to scale it within a large company. There are other products out there but they are not as easy to learn and use.
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for …
I am only going to talk about the visualizing and analytics part of SAP Datasphere because if I start listing what the whole SAP ecosystem provides, then it would not even be a comparison. In a summary, Google Analytics is high-level. Of course, the introduction of the new GA4 …
Scalability and effectiveness to handle large volumes of data while maintaining consistency with the applications. Excellent with data integrity by eliminating duplications. Magnificent with a collection of data from different sources to get trusted data for making decisions.
The Friendly interface that SAP offered was second to none. The Tracking and tracebility that was Integrated helped in configuring locations quite easily and while shifting of cargo it was never an issue. Distribution wise SKU segregation was never a problem and report …
Compared to the SAP Business Warehouse, the DWC can be operated with the SAC in a cloud environment on the Business Technology Platform. Thus, a single point of entry or single point of truth is given in the DWC, and reporting in the SAC is possible. The complete corporate …
It is very easy and quick to develop.it has good and excellent self-service. The use of state art data platform is very easy and simple. It has a high-performance and scalable data warehouse. It accelerates time to value real-time. It gives data a new level of consumption.
It is user-friendly and has self-service tools. It has built-in capabilities such as a data lake. It backed integration capabilities. It gives data on a new level of consumption. It is easy and very quick to develop. It has a high-performance and scalable data warehouse.
Both tools are fairly the same, but we mainly focused on SAP Data Warehouse Cloud since we had a lot of SAP services that were simple to integrate with each other.
SAP Ecosystem Integration:For businesses already using other SAP solutions such as SAP BW or SAP HANA, SAP Analytics Cloud is a natural fit. It integrates well with the broader SAP ecosystem, providing a cohesive analytics experience for users familiar with SAP technologies.Predictive Analytics Use Cases:Companies seeking to incorporate predictive analytics into their decision-making processes can leverage SAP Analytics Cloud. Its built-in predictive features enable users to create models and gain insights into future trends based on historical data.
SAP is best suited for large global corporations. It is a very complex software and is difficult to come by individuals who have sufficient enough knowledge to master the product. Globally our company only has 1 person to support us in IT for SAP. It is great if you use a more complex web host such as SFCC as you can make connections to SAP for returns, inventory, price updates, etc.
It makes it easier yo analyse order and related records easily.
We can easily maintain and track the performance of employees in organisation.
Can easily track various aspects for the growth of an organisation thus allowing real time analysis and tracking of organisation's growth and performance.
SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
There’s no doubt I will renew SAP Analytics Cloud. It is the most vital tool in our organization that makes it seamless to make rapid business decisions by collecting, modeling and visualizing data in real-time.
On a scale of 1 to 10, I would rate 8 SAP Analytics Cloud's overall usability as a 7. SAC has a clean, modern user interface with drag-and-drop features. It is an integrated platform that combines reporting, planning, and predictive analytics in one tool. It has Real-time connectivity with SAP data sources like S/4HANA.
Self-service analytics capabilities allow non-technical users to build simple dashboards.
It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.
I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
I would rate SAP Analytics Cloud’s performance an 8 out of 10. Pages generally load quickly, and reports run within a reasonable time frame, even with complex datasets. Integration with other systems is smooth and doesn’t noticeably affect performance. Overall, it’s a responsive and efficient tool for business analytics. But
Since the implementation stage, the support team has been very helpful and assisting. Even in the later stages, the tech team had quite a rapid response. In general, SAP has provided us with great customer support, let it be for a specific product of SAP or for integration of different modules.
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
SAC is a simple solution ad it works fine when connecting it to other SAP tools. On the other hand, connecting it to third party solutions brings difficulties when there's no previous design and the objetives are not clear. It is really important to integrate Business users from the start to provide with valuable business insights
SAP Analytics Cloud and Power BI are both tools that help businesses understand their data, but they have some differences. SAC, made by SAP, works well if your company already uses other SAP products. It's in the cloud, easy to use, and has features for analyzing data, getting insights, and planning for the future. Power BI, made by Microsoft, can be used in the cloud or on your own computers. It fits well with Microsoft tools, is easy to use, and can do advanced data analysis. SAC has built-in planning tools, while Power BI needs extra tools for detailed planning
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
I would rate SAP Analytics Cloud an 8 out of 10 for scalability. It offers a flexible, cloud-based architecture that supports expansion across departments and geographies. The platform adapts well to growing data volumes and user needs, making it a strong choice for organizations looking to scale analytics capabilities efficiently.
Optimized our budgeting and forecasting processes. The platform facilitates real-time collaboration among our teams, allowing for more accurate and agile financial planning. This has led to improved precision in budget allocation, ensuring that resources are strategically deployed to support the most promising startups within our portfolio.
SAC's intuitive dashboards and visualizations provide a consolidated view of key performance indicators, startup health metrics, and portfolio analytics. This heightened data visibility enables our teams to make informed decisions promptly, identify emerging trends, and proactively address challenges.
Routine tasks, such as performance tracking and reporting, are automated, allowing our teams to focus on more strategic initiatives. This has resulted in time savings and increased productivity across various operational processes.