SAP Analytics Cloud vs. Sigma Computing

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Analytics Cloud
Score 7.8 out of 10
N/A
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
Sigma
Score 9.1 out of 10
N/A
Sigma Computing headquartered in San Francisco provides a suite of data services such as code free data modeling, data search and explorating, and related BI and data visualization services.N/A
Pricing
SAP Analytics CloudSigma Computing
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 CloudSigma
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsA 30-day trial with SAP Analytics Cloud is available, supporting analytics enterprise-wide. A trial can be extended up to 90 days on request.Contact us for pricing.
More Pricing Information
Community Pulse
SAP Analytics CloudSigma Computing
Considered Both Products
SAP Analytics Cloud
Chose SAP Analytics Cloud
SAP Analytics Cloud stacks better with SAP ERP and this has improved its workability and accuracy.
Chose SAP Analytics Cloud
SAP S/4HANA Cloud, SAP Business Technology Platform, SAP Integration Suite, SAP Concur and SAP Identity Management
Chose SAP Analytics Cloud
Great integration with sap. Not good for customization.
Chose SAP Analytics Cloud
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 …
Chose SAP Analytics Cloud
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 …
Chose SAP Analytics Cloud
It was a corporate decision that will serve all hubs in the world to gain scalability. Once a gain, one fits all.
Chose SAP Analytics Cloud
TIBCO BPM Enterprise and Salesforce Commerce Cloud
Chose SAP Analytics Cloud
SAP Analytics Cloud has the largest user base in the manufacturing field because of its service.
Chose SAP Analytics Cloud
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 …
Chose SAP Analytics Cloud
SAP Analytics Cloud has direct connectivity to S/4 and have the extended possibility for financial planning
Chose SAP Analytics Cloud
Data models are familiar and no additional reconciliations needed
Chose SAP Analytics Cloud
Power BI seem to work easier with other datasources (non-SAP)
Chose SAP Analytics Cloud
More integrated to our landscape SAP based
Chose SAP Analytics Cloud
it's the product supported by my organization, also it has better authorization features than Power BI
Chose SAP Analytics Cloud
Ease of Doing business is a big feature in the SAP side. Also, more efficient and easier to manage.
Chose SAP Analytics Cloud
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 …
Chose SAP Analytics Cloud
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.
Sigma
Chose Sigma
I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface …
Chose Sigma
Ease of use, access for teams, adhoc and iterative data analyses, from non-technical users, to experience data analysis teams.
Chose Sigma
Sigma Computing exclusively uses Snowflake as its data source, which enhances data security by not caching or extracting data locally. Tableau, on the other hand, allows a broader range of internal databases and files like SQL Server, Postgres, etc., and supports extracted …
Chose Sigma
Microsoft Power BI, Qlik Analytics Platform and Microsoft Excel
Chose Sigma
maintianed is very user friendly. Its various ways of embedding helped us in various aspects. The usage of control ids of the filters as parameters helped us in optimizing very longSQL queries. The live Support team every weekday is a very great intiative that helped in quick …
Chose Sigma
I'd rate Sigma to be extremely similar to Sisense except it looks not as nice. I would say that as a tool, Sigma is more user-friendly than Tableau, Power BI, Trevor, and Metabase.

I do feel that Looker is far more powerful and looks great, but I also recognize that Looker does …
Chose Sigma
Sigma computing has better pricing than the competitors. We're always looking for what is good for the price but also gives us all we need to complete our reporting. It also brings about a lot of updates that are nice to see. The embedding helps other BI tools sometimes.
Chose Sigma
We did not have any similar reporting system like Sigma.
Chose Sigma
Sigma has a better view of tables and it is much easier to create new data sets/aggregations. Tableau is better in some visual aspects because there is more customization available, albeit more confusing than Sigma to do. Sigma is very intuitive and did not take long to learn …
Chose Sigma
Sigma Computing had better functionality and is beginner friendly. While Tableau is a more well known product, Sigma Computing has a better user interface that is easier to comprehend for those without a non-technical background. This makes it easier to showcase dashboards to …
Chose Sigma
Sigma is better than Tableau in my opinion because Sigma has the connection to live data, rather than stale csv files.
Chose Sigma
Sigma is the easiest to use from a workbook developer perspective, and from a non-technical end user perspective. Everything from administration, semantic layer setup, to creating dashboards is easier in Sigma than these other tools. Developing content in Sigma is enjoyable, …
Chose Sigma
Sigma has the capabilities of the other BI tools. I think it's pretty user friendly and easy to learn. Many of our stakeholders are used to using Excel so it's nice that it is a smooth onboarding process for them. We haven't looked into much of the visualization capabilities so …
Chose Sigma
I have found that Tableau can be used to create a greater variety of custom and complex visuals, though these visuals are far more difficult to create in a quick turnaround. While Sigma may be more limited in terms of what types of visuals can be create or how customized they …
Chose Sigma
With Looker, to be effective, a substantial amount of coding & modeling needs to happen in LookML. Being another language to learn, users have to context switch again from at a minimum either SQL or Python into LookML. The concept of being able to source control, code review, …
Chose Sigma
Less visually appealing. Feels like fewer pixels. Harder to make graphs and visuals. Really good integration with snowflake and intuitive usage for custom equations and filters.
Chose Sigma
2 biggest reasons for Sigma were easy of use for power users, and cost of having a large amount of viewers of the data.
Chose Sigma
Much more customizable than Looker Studio
Some features are way better than Cluvio. But Cluvio search bar was better.
Chose Sigma
I was not involved in the buying and decision-making process.
Chose Sigma
Not even a comparison, Sigma is a far superior BI and data visualization tool
Chose Sigma
sorta in the middle.
One thing that differs than domo or power bi, is that those softwares bring in the data into the platform, instead of how sigma runs a query against our data warehouse each time a user interacts with the dashboard (there is some small caching, so not always)
Chose Sigma
Sigma is by far the best. It is easiest to learn and easiest to use on a day to day basis. I never have to wait for dashboards to load and it's very easy to understand the variables that are going into my visualizations. Best of all I can manipulate the data within Sigma …
Chose Sigma
flexibility, works really well with snowflake, export capability, level of support, the fact that Sigma Computing is a start up and improving so quickly. Web based software
Features
SAP Analytics CloudSigma Computing
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
SAP Analytics Cloud
8.0
Ratings
2% below category average
Sigma Computing
8.9
Ratings
9% above category average
Pixel Perfect reports8.00 Ratings8.80 Ratings
Customizable dashboards8.10 Ratings9.20 Ratings
Report Formatting Templates7.90 Ratings8.70 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
SAP Analytics Cloud
7.9
Ratings
2% below category average
Sigma Computing
8.6
Ratings
7% above category average
Drill-down analysis8.10 Ratings9.40 Ratings
Formatting capabilities8.10 Ratings8.20 Ratings
Integration with R or other statistical packages7.70 Ratings7.30 Ratings
Report sharing and collaboration7.80 Ratings9.40 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
SAP Analytics Cloud
8.0
Ratings
4% below category average
Sigma Computing
9.1
Ratings
9% above category average
Publish to Web8.00 Ratings9.90 Ratings
Publish to PDF8.40 Ratings9.00 Ratings
Report Versioning8.10 Ratings9.90 Ratings
Report Delivery Scheduling7.70 Ratings9.70 Ratings
Delivery to Remote Servers00 Ratings7.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
SAP Analytics Cloud
8.0
Ratings
0% above category average
Sigma Computing
6.6
Ratings
19% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)7.70 Ratings7.90 Ratings
Location Analytics / Geographic Visualization7.70 Ratings5.60 Ratings
Predictive Analytics8.30 Ratings6.20 Ratings
Pattern Recognition and Data Mining8.20 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
SAP Analytics Cloud
8.1
Ratings
5% below category average
Sigma Computing
-
Ratings
Multi-User Support (named login)8.10 Ratings00 Ratings
Role-Based Security Model8.10 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)7.80 Ratings00 Ratings
Report-Level Access Control8.20 Ratings00 Ratings
Single Sign-On (SSO)8.50 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
SAP Analytics Cloud
7.9
Ratings
0% above category average
Sigma Computing
-
Ratings
Responsive Design for Web Access7.70 Ratings00 Ratings
Mobile Application7.60 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile8.00 Ratings00 Ratings
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User Ratings
SAP Analytics CloudSigma Computing
Likelihood to Recommend
8.2
(0 ratings)
8.1
(0 ratings)
Likelihood to Renew
7.8
(0 ratings)
10.0
(0 ratings)
Usability
8.0
(0 ratings)
7.6
(0 ratings)
Availability
-
(0 ratings)
8.2
(0 ratings)
Performance
-
(0 ratings)
9.1
(0 ratings)
Support Rating
5.6
(0 ratings)
10.0
(0 ratings)
In-Person Training
9.0
(0 ratings)
-
(0 ratings)
Implementation Rating
2.0
(0 ratings)
9.1
(0 ratings)
Configurability
-
(0 ratings)
7.3
(0 ratings)
Ease of integration
-
(0 ratings)
9.1
(0 ratings)
Product Scalability
-
(0 ratings)
8.2
(0 ratings)
Vendor post-sale
-
(0 ratings)
7.3
(0 ratings)
User Testimonials
SAP Analytics CloudSigma Computing
Likelihood to Recommend
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.
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Scenarios where Sigma Computing is well suited: - Data Reporting and Visualisation : It is suitable for dashboards that integrate data from multiple back-office systems - Search and Filtering Capabilities: It provides a robust platform for searching through datasets and visualisations. Scenarios where Sigma Computing is less appropriate: Handling of null values and dynamic table adjustments
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Pros
  • 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.
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  • Allows end users to easily dive into the data without having direct access to the table in our database management software.
  • Can easily turnaround dashboards that are detailed and visually pleasing.
  • Sigma is intuitive and as new features are rolled out it is easy to adopt and incorporate them into new and existing dashboards.
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Cons
  • Possibility of more advanced scripting for data transformation without analytics designer
  • Provision to consider rate types from TCURR in SAC and should be able to write FX conversion logic considering rate types
  • Read data directly from BW by reading aDSOs backend tables
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  • Viewer level license is quite limited. These users can't download data or even add filters on datasets. Something to keep in mind.
  • Directly querying the underlying data warehouse will lead to increased usage. Not a big deal on something like Redshift, but your Snowflake consumption will increase, potentially by a lot.
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Likelihood to Renew
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.
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Because we are very satisfied with the product and would most likely renew because of the services it provides. It is a tool that you bring into your organization and let it change the way you analyze your data, present your data and share you date within the Respective teams
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Usability
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.
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It has a clean and modern interface. However, it is not completely intuitive. I think it would be better and easier to navigate with more Windows style drop down menus and/or tabls. There is a significant learning curve, but that may be due in part to the technical nature of this type of software tool.
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Reliability and Availability
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.
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Yes, as long as you don’t conduct user error sigma is always up and running and waiting for you to complete your dashboards
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Performance
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
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It depends, it loads quickly for smaller dashboards but when loading larger amounts of data it takes more time to do so
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Support Rating
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.
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They are very friendly and informative. They are quick in resolving our queries and help us understand very minute things as well. They are quick in creating feature tickets based on our custom requirements, and they would also create a bug ticket if there is any discrepancy and get that checked on time.
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In-Person Training
Good videos and reference material available in SAP Portal.
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No answers on this topic
Online Training
it's ok
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No answers on this topic
Implementation Rating
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
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Was not involved in implementation
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Alternatives Considered
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
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I am not an expert in any of these, though from my brief exposure to Looker it felt like a steeper learning curve, more appropriate to companies with dedicated and skilled BI engineers, whereas Sigma (and Tableau, and Looker Studio) offer a quicker and more intuitive interface for smaller companies like ours without dedicated BI resources on staff.
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Scalability
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.
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It is a cloud service offering that is able to expand based on your usage
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Return on Investment
  • 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.
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  • Monitoring health of cloud platform has allowed the company to anticipate issues before they affect customers – Sigma prompted us building a canary monitoring process that provides customer container health.
  • Customer success has used an activity report to discover customers running runaway processes that they were unaware of, creating an alert to contact the customer and prevent an embarrassing situation.
  • Customer success uses the activity report to prompt conversations regarding increases or declines in behavior that led to increasing contract limits or addressing churn concerns.
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ScreenShots