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 HANA Cloud
Score 8.9 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
$0.95
per month Capacity Units
Pricing
SAP Analytics Cloud
SAP HANA Cloud
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 HANA Cloud
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
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.
Because the connectivity is natural and is easy to work and develop everything behind the same brand. Also is easy to have all the data under control on this software and easily consume in SAP Analytics Cloud Review. As I said, great advantage of using sap that means all are …
I feel SAP Analytics Cloud is superior to other tools because of cloud capability and the ability to connect to several data sources. It also has a feature to store large set of data in-memory for faster reporting.
SAP Analytics Cloud is more user friendly as compared to Oracle Analytics Cloud and it offers much better user interface. Selection of any tool or product mostly weighs on how much would it cost, though SAP Analytics cloud is not cost effective but it is more economical as …
It provides superior connectivity to databases compared to Tableau as it is SAP product and all our ERP s used in Sales ,Planning and Dispatch is SAP .Its interface is more clean and intelligent to Tableau and offers superior BI models to generate effective report for the …
Our entire DB was connected to SAP products hence it made sense only to utilize a SAP analytics solution for our analytical need owing to ease of integrated and support on offer by SAP. Even though it is a bit buggy and not that feature rich I am pretty confident SAP will make …
Earlier I have used SAP Crystal for reporting. SAP Analytics Cloud is a next-gen business intelligence reporting tool with the capability of machine learning, interactive dashboards, and stories.
SAP Analytics Cloud - being a cloud offering does not require any infrastructure for development of the reports and dashboards and doesn't depend on the back-end system availability for preparing a prototype. Since there is already a lot of pre-built content available, it …
We are currently using Power BI primarily, and are using SAC primarily for planning at this point. Would be interested to explore more of the predictive and augmented analytics capabilities of SAC.
The smart insight and smart discovery features were a big seller in addition to the predictive scenarios. In addition to that, the fact that users can write their own stories and build their own PPTs is great.
SAC is better at performance when the data source is bigger and the volume of data is high. That is thanks to live connectivity. SAC is offering a planning version and more functionalities. SAC is offering a lot more business content in the library.
SAP HANA is a great backbone to BW/4HANA and enables great use of virtualization and on the fly calculations whereas BW helps sort/structure business data initially and make use of lots of standard functionalities.
SAP Analytics Cloud is a front end tool which can be used for …
We have also used SAP Analytics Cloud as front-end technology in combination with SAP HANA. Our experience is that connecting both systems is simple and quickly done. We experienced fast illustration of our SAP HANA backend data in SAP Analytics Cloud and we can fully recommend …
One area where SAP HANA Cloud stood out for us is in its support for real-time analytics on live transactional data. As a business that relies on up-to-date information to make critical decisions, this capability was essential for us. We found that SAP Analytics Cloud was more …
Evaluated for its separation of compute and storage and lower entry cost, but it lacked the native understanding of complex SAP ERP semantics (ABAP logic) without extensive data reconstruction
SAP is implementing in-memory computing and making all of their processes compatible and realistic in nature. SAP HANA can process a large amount of data. We can analyze the data built the reports with ease. Data handling is simple in SAP HANA. It is very fast and there no lag …
SAP hana is best utilised for data management at the backend. Therefore using SAP HANA at the backend and utilising SAP BO's reporting tools at the front end for visualising the data in a better presentable form is an example.
>> Using SAC predictive analytics capabilities for inventory management in a Production line setup has helped generate Purchase Requisitions and Purchase Orders for raw or semi-finished goods without much head-banging into Demand management rules. It does it beautifully with seamless integration with HANA core MM and PP modules, along with BI integration. It has resulted in 30% greater warehouse storage capacity, thereby saving revenue from piled-up inventory and associated manpower costs. >> SAC sometimes shows latency in working out a large data set, thus giving a poor user experience compared to its competition. Also, it may occasionally show misinterpretations when embedding data from 3rd-party systems into the HANA core dataset.
I think if you have a large organization, it's probably the product and the marketplace to go to. We're a large management consulting firm operating in four to seven countries. And generally speaking, I think that's the size and the scope where it scales best. I can't speak to smaller companies, but I can't see smaller companies leveraging the benefits as much as a larger organization can.
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.
Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
SAC supports various data sources, but improvements in the ease of connecting to and integrating with certain data repositories, especially non-SAP databases, would enhance the platform's versatility and integration capabilities.
An offline mode for SAC could be valuable for users who need to access and analyze data without an internet connection. Additionally, optimizing performance for large datasets and complex visualizations would contribute to a smoother user experience.
Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
Lack of clarity on licensing is one major challenge
Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
We are planning to review the licensing as we have issues with SAC dealing with huge datasets. Analytics area is good for import models but when we have live connections in place that's when we have issue with SAC dealing with huge datasets in live be it BW or be it HANA models in the backend.
We would rate our likelihood of renewing at 9/10. SAP HANA Cloud has proven to be a highly reliable and scalable data platform that consistently delivers strong performance. Its seamless integration with our overall SAP landscape, combined with improved analytics and real-time data capabilities, makes it a core part of our long-term technology strategy.
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 very useful solution which provides you speedier data processing, real-time analytics. It helps you manage diverse data types. It also offers you excellent disaster management. It has user friendly interface which helps you navigate system and transactions easily and perform task smoothly.
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.
However, I am not the right person to answer this as we have another department to handle support and contact the service provider for any support required. Although i will say that they are the quick respondent and knows how to handle querry of the customers and provide quick and better support.
In hindsight, it would have been easier to have someone there in person. Questions were answered, but with 11 participants, it got a bit chaotic online
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
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
Is good for use across multiple locations. It allows users to access data and reports from anywhere, regardless of their location. Can consolidate data from various sources, including different SAP systems and external sources, which facilitates cross-location analysis. SAC enables access to data and models from SAP Datasphere to create new stories. Detailed permissions can be defined for cross-departmental use.
Many manual data manipulations and exports in Excel have been replaced by the tool, providing management with improved insight into the amount of time spent at each stage of an invoice's lifetime, allowing bottlenecks to be discovered.
We now have more insight into the data, and people with little technical experience can easily build stories.