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 Lumira Discovery
Score 7.2 out of 10
N/A
SAP Lumira Discovery is SAP’s data visualization and discovery application. It facilitates data discovery, visualization, and analysis by assisting users with creation of dashboards, infographics, presentations, data facets, tag clouds, and more.
$185
per user
Pricing
SAP Analytics Cloud
SAP Lumira Discovery
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
SAP Lumira, standard edition
$185
per user
Offerings
Pricing Offerings
SAP Analytics Cloud
SAP Lumira Discovery
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
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 Analytics Cloud provides the functionality to connect with SAP BW/4hHANA with live data connection by creating models on top of Bw queries and then creating stories on top of it. It even provides functionality to download the report and share across multiple landscapes. …
As compared to Lumira and design studio SAC is installation free software which offers multiple features on cloud platform with live and import data conectivity features within one product.
SAP Analytics Cloud is the product from SAP itself where most of the companies are well integrated with SAP S4 HANA, SAP BW, and SAP BW4HANA so this reporting tool helps us with the best integration and for faster reporting performance instead of other versions and also it is …
The solution very powerful, very interactive, designer is very good. Features like linked analysis, hierarchies are vey useful while analysing the data. The data wrangling options available in SAP Analytics cloud are also very powerful and they have very rich set of functions …
Better access to SAP BW in comparison to Power BI. Also, users without programming skills can build advanced dashboards as in comparison to Design Studio.
SAP seems to be giving its highest focus to SAC over the Lumira suite, so we think it’s likely a better path for us to go down as we were not entrenched with other tools. SAC performance during design and consume time seems much better than our experience with Lumira.
The speed of QlikView can be very slow when I would attempt to set up the dashboard with Microsoft Access. SAP Analytics Cloud has much tighter integration with our data sources which allowed for much more real-time integration as opposed to batch processing. This allowed for …
SAP Analytics Cloud is better than SAP Lumira Discovery in so many ways starting from data connectivity, modelling, self- service analytics, complex applications, planning to Augmented Analytics. When there are policy restrictions, then without much choice, users can go for …
Even though SAP Analytics Cloud is considered to be better in aspects such as data connectivity or analytics, we decided to choose Lumira as it was easier to understand, learn and use. As our business is not really that big and does not require the inclusion of large amounts of …
SAP Analytical Cloud is more advanced and go to product from SAP side and thus the use case identification and the need of the organization need to be looked into, before deciding the product. The performance of SAP SAC is also better than SAP Lumira, and SAP SAC is used for …
>> 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.
Infographics derived from specific data sources appears to be well suited for development using Lumira. The development of executive level dashboards was less appropriate from my perspective. The software does not provide sufficient demonstration or samples for the users to learn from in my opinion.
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.
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.
Even though the process of creating visualizations of data is now greatly improved, it could still be a lot better as users become accustomed to this kind of tool and bring forward edge cases the developers did not anticipate.
It would be awesome to have a cross platform tool that works on more than just Windows.
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.
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.
SAP Lumira is very good self service analytical tool with powerful capabilities. However need to look into other SAP products in BI space, like SAP SAC. SAP Lumira is more used for custom and complex analytical need in business intelligence area. Also SAP Lumira is going out of maintenance in coming future replaced by SAP SAC.
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.
Lumira is a desktop application runs in its own JVM. It installs its own java runtime libraries to avoid any core java version conflicts. The availability of the application is completely relies on individual machine hardware configuration. On a decent desktop, it performs well and always launches in either 32 or 64 bit environment based on the hosts system's OS
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
The performance is linear with amount of data that is being explored. We have done some benchmarks acquiring 10million data cells without having any performance problems. We need to make proper adjustments to jvm run time properties to start with higher heap size and other parameters that optimizes the run time performance
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.
It does not have many bugs or issues since not a lot of new features are being added. The customer support for SAP Lumira Discovery is good and anyone considering this as a self-service tool would be happy. It integrates well in the SAP BI suite of products and the overall experience is positive.
Most of the user guides are pretty comprehensive and very easy to understand. The product itself is designed to be self-serve tool, did not need much of the end-user training. Most of the training we had is to how to read the data, how to explore the data, how to acquire the data etc.
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
Installing the desktop software on end-user machines is always challenging. The machine specifications are the biggest factor when running Lumira and be able to handle large datasets during data exploration. This often demands beefy machines at least for power-users. Although Lumira software licensing is not a big problem but managing partner's extensions and keeping track of their individual licenses may be an issue. If there is a way to bundle the more popular extensions such as vSQL or vOLAP should be bundled in core product and offer them as part of Lumira license instead of a separate license which causer operational burden.
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
Even though SAP Analytics Cloud is considered to be better in aspects such as data connectivity or analytics, we decided to choose Lumira as it was easier to understand, learn and use. As our business is not really that big and does not require the inclusion of large amounts of data, Lumira was overall the safest and most comfortable option. Also, some members in our team had previous knowledge so it was easier to adapt
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.
Enterprise wide implementation is a challenge with data security and trustedness. No easy installation can be done across the enterprise. no upgrade paths also available from SAP. They have so much of experience with desktop implementation, there it could be a controlled environment with a capital budget. These may be resolved in the upcoming releases
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.
