SAP Analytics Cloud vs Sisense comparison

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SAP Analytics Cloud

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Executive SummaryUpdated on Jan 1, 2025

Sisense and SAP Analytics Cloud are both data analytics platforms that empower businesses with data visualizations. Sisense seems to have the upper hand in ease of use and integration, while SAP Analytics Cloud is noted for its rich predictive analytics and integration with SAP solutions.

Features: Sisense supports the integration of multiple data sources, offers a robust user management system, and provides efficient handling of large datasets, making it suitable for fast-paced environments. SAP Analytics Cloud provides advanced predictive analytics, supports comprehensive business planning, and integrates seamlessly with SAP solutions, appealing particularly to existing SAP users.

Room for Improvement: Sisense users suggest enhancements for handling complex datasets and better connectivity with statistical tools. Improvements in documentation and flexibility in analytics without relying on visual interfaces are also noted. Users of SAP Analytics Cloud recommend better real-time analytics, improved integration with non-SAP tools, and more user-friendly predictive features, despite its higher cost.

Ease of Deployment and Customer Service: Sisense offers flexible deployment with on-premises and cloud solutions, recognized for its exceptional customer service and responsive technical support. SAP Analytics Cloud is primarily available in public and hybrid cloud environments, with effective customer service, but faces complexities in setup, especially for non-SAP integrations.

Pricing and ROI: Sisense offers competitive pricing with a subscription model, though considered costly compared to tools like Power BI and Tableau. Its pricing is justified by its comprehensive features and quick ROI. SAP Analytics Cloud is seen as expensive, but its value lies in its integration and advanced planning capabilities for SAP-centric organizations, with a licensing model based on usage tiers.

To learn more, read our detailed SAP Analytics Cloud vs. Sisense Report (Updated: April 2025).

SAP Analytics Cloud vs. Sisense

April 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

SAP Analytics Cloud

Ranking in BI (Business Intelligence) Tools

4th

Average Rating

8.0

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Predictive Analytics (2nd)

Sisense

Ranking in BI (Business Intelligence) Tools

19th

Average Rating

8.8

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Cloud Analytics (4th), Reporting (14th), Data Visualization (15th), Embedded BI (9th)

Mindshare comparison

As of April 2025, in the BI (Business Intelligence) Tools category, the mindshare of SAP Analytics Cloud is 4.4%, down from 5.8% compared to the previous year. The mindshare of Sisense is 1.5%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools

Featured Reviews

RamasamyTelungupalayam

Product Manager - ERP Analytics and BI at Haleon

Seamless integration, collaborative features, and enhances data exploration

There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.

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Wiboon Thabsuwan

Senior Consultant at IMD Company Limited

Helps businesses save time and offers good integration features

I would say that using Sisense on Linux's platform might not be advantageous for everyone. I am more familiar with Windows than Linux. With Windows, the system performs very fast. Even if your data size consists of like 10,00,00,000 loads or whatever, it works very fast. When using Sisense, it is better to have some people with a very good understanding of Linux. I need more technical people who understand about Linux OS. Only two people would be enough to operate the tool.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Offers both business intelligence as well as inbuilt AI and machine learning capabilities."

"There is a real-time reporting mechanism in place. SAP Analytics Cloud operates on the SAP S/4HANA database, ensuring real-time reporting is always available. This capability allows the business to monitor cash inflows and outflows at any given moment easily."

"The stories have really been helpful in looking at specific scenarios and analyzing trends over periods of time."

"In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns."

"The most valuable features are the analytical application and the user story."

"The most valuable feature of the tool is machine learning."

"The tool's most valuable features are the BI and planning functionalities. I value being able to integrate smart planning with BI for analysis. The solution is user-friendly."

"Its user-friendliness is valuable. It is a product for end-users and not for IT, which is an advantage."

More SAP Analytics Cloud pros

"The solution's technical support team is good."

"We like that this solution allows us to use data cubes to set up specific visualizations."

"I have found the dashboard creating feature helpful."

"Sisense can integrate with multiple sources at one time."

"The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards."

"The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions."

"Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs."

"The Sisense solution was very easy to set up, and its visualizations were effective."

More Sisense pros

Cons

"Live Data Models are very slow and the setup can be improved, with tools such as Cloud Connector being inbuilt into SAP Analytics Cloud. Likewise, we need to write application code from scratch, rather than tweaking existing code, as we might with Excel macros. Moreover, when using responsive pages, the widgets get adjusted according to the mobile screen. As a result, when I place two or three KPI tiles, they can only be viewed tile-by-tile. We want to see the full dashboard on the mobile screen and zoom in to click on a particular section of the dashboard and go further into that. But displaying tile-by-tile makes it very annoying and the upper management using this dashboard might not be aware there are any more tiles to view."

"I think it would be easier if there was another module created to retrieve only data."

"What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement."

"The general management of this solution could be improved. The graphics or icons could also be improved to allow them to integrate with other environments on the web."

"The price, integration, and modeling capabilities could be better. I have to use an integration engine to integrate our products and databases. SAP Analytics Cloud is made specifically for KPIs and business intelligence. The modeling capabilities are kind of poor. You always have to model the data and then present it visually in SAP Analytics Cloud. In the next release, I would like to have a lite version for planning to create scenarios quickly. For me personally, planning is the most complicated feature of SAP Analytics Cloud."

"AI doesn't work as well with SAP live connections."

"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."

"I would also like to have more advanced features for predictive analytics."

More SAP Analytics Cloud cons

"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data."

"The administrative side of Sisense is a little cumbersome and confusing."

"They should improve the filters to create downloaded data by moving them to the top of the dashboard."

"Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T"

"I would say that using Sisense on Linux's platform might not be advantageous for everyone."

"I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes."

"I would like to see an improvement in the live data connection, specifically making the process faster."

More Sisense cons

Pricing and Cost Advice

"It's not that costly as such for the time being."

"Compute and storage features should be sold separately."

"It Wasn't directly involved in the pricing discussions, but when I joined the organization, they had already purchased the SAP Analytics Cloud solution. The organization faced challenges due to its perceived expense, leading to restrictions on granting access to many users."

"I don't have the exact price for SAP Analytics Cloud, but it could be improved and made cheaper, especially when compared to Power BI."

"The pricing of this product is reasonable."

"It's quite expensive and costs a lot to maintain, especially with licensing."

"It is not the most expensive one. You have to do the cost-of-ownership analysis and take a lot of things into consideration to come up with the conclusion that it is cheaper or not, but its price is reasonable. It provides value for money."

"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."

More SAP Analytics Cloud pricing and cost advice

"Compared to Power BI or Tableau, Sisense is much more expensive."

"This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."

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Top Industries

By visitors reading reviews

Educational Organization

18%

Manufacturing Company

16%

Computer Software Company

Financial Services Firm

21%

Computer Software Company

15%

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

What do you like most about SAP Analytics Cloud?

In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.

What is your experience regarding pricing and costs for SAP Analytics Cloud?

The pricing model for SAP Analytics Cloud is quite competitive, but the cost for the planning functionality is high and can be a barrier to entry. The overall cost can be managed with better billin...

What do you like most about Sisense?

The solution's technical support team is good.

What needs improvement with Sisense?

I would like to see an improvement in the live data connection, specifically making the process faster. Additionally, incorporating more self-service capabilities would benefit the product.

What is your primary use case for Sisense?

I was looking into some of our business operations with tow truck companies. I focused on evaluating turnaround times for tow trucks to arrive on-site for accidents and how long it took them to cle...

Tableau vs SAP Analytics Cloud

Comparisons

Compared 18% of the time

SAP BusinessObjects Business Intelligence Platform vs SAP Analytics Cloud

Compared 15% of the time

IBM Planning Analytics vs SAP Analytics Cloud

Compared 13% of the time

Microsoft Power BI vs SAP Analytics Cloud

Compared 12% of the time

Anaplan vs SAP Analytics Cloud

Compared 10% of the time

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Microsoft Power BI vs Sisense

Compared 35% of the time

Tableau vs Sisense

Compared 23% of the time

Apache Superset vs Sisense

Compared 14% of the time

Databricks vs Sisense

Compared 6% of the time

Qlik Sense vs Sisense

Compared 6% of the time

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Product Reports

Download SAP Analytics Cloud product report

SAP Analytics Cloud

March 2025

Download Sisense product report

March 2025

Also Known As

SAP BusinessObjects Cloud

No data available

Overview

SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

SAP Analytics Cloud Capabilities

Data discovery
Machine learning
Integrated financial and business planning
Predictive analysis
Automated data cleansing
Custom widgets
Mobile extension
Role-based customization
Data exploration and visualization

SAP Analytics Cloud Key Features

Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.

Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

SAP Analytics Cloud Benefits

Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.
Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.
Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.
Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.
In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

Reviews from Real Users

Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

SAP

Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

Sample Customers

Live Oak Bank

Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo