IBM Planning Analytics vs. SAP Analytics Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Planning Analytics
Score 8.4 out of 10
N/A
IBM Planning Analytics, powered by IBM TM1®, is an integrated planning solution designed to promote collaboration across the organization and help keep pace with the speed of modern business. With its calculation engine, this enterprise performance management solution is designed to help users move beyond the limits of spreadsheets, automating the planning process to drive faster, more accurate results. Use it to unify data sources into one single repository, enabling users to build…
$825
per month 5 users
SAP Analytics Cloud
Score 8.1 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
Pricing
IBM Planning AnalyticsSAP Analytics Cloud
Editions & Modules
Essentials
$825
per month 5 users
Standard
$1,650
per month 10 users
SAP Analytics Cloud for Business Intelligence
$36.00
per month per user
SAP Analytics Cloud for Planning
Price upon request
per month per user
Offerings
Pricing Offerings
IBM Planning AnalyticsSAP Analytics Cloud
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
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.
More Pricing Information
Community Pulse
IBM Planning AnalyticsSAP Analytics Cloud
Considered Both Products
IBM Planning Analytics
Chose IBM Planning Analytics
If compared to Excel, it eliminates version control issues and manual consolidation, which saves time and reduces errors.
On the other hand, if we compared with Hyperion, IBM Planning Analytics is more agile and user-friendly, especially with the Excel integration (PAx) and the …
Chose IBM Planning Analytics
IBM Planning Analytics was far more robust and worked well with our existing tools and processes.
Chose IBM Planning Analytics
The overall tool is robust and complete in its capabilities.
It has an edge over other competitors and state of art technology.
Chose IBM Planning Analytics
For strong technical teams and flexibility IBM Planning Analytics is the way to go. For quicker adoption and less technical teams Anaplan is the best option. If consolidation, financials, and moving from legacy tools are main focus than OneStream will be a really good choice. …
Chose IBM Planning Analytics
It is truly hard to compare both products. I like both products and would suggest choosing one but trying both. Some things are better through IBM Planning Analytics and some things are better through the IBM Analytics engine. Ultimately I believe that IBM Planning Analytics …
Chose IBM Planning Analytics
instead several, manual maintained excel spreadsheets, we have now implemented a save repeatable process to get data in and out to the users
Chose IBM Planning Analytics
We chose IBM Planning Analytics because we find that it still uniquely positions with OLAP engine
Chose IBM Planning Analytics
IBM Planning Analytics is my primary focus
Chose IBM Planning Analytics
IBM watsonx.ai and IBM Cognos Analytics
Chose IBM Planning Analytics
In our organization, we chose IBM Planning Analytics because, in our opinion, IBM Planning Analytics has more features
Chose IBM Planning Analytics
IBM Planning Analytics flexibility is what makes it stand out between the others. Generally in other platforms you are restricted to predefined flows. Although it sounds good in the beginning, when you start using those systems you face some challenges when trying to adapt new …
Chose IBM Planning Analytics
Workday Adaptive Planning is really tough to set up and use as a fresher. So I have always faced difficulties helping new joinees to set up and use it. But with IBM Planning Analytics, it is more straightforward and easier to use with a good interface.
Chose IBM Planning Analytics
As it is related to MS Excel, IBM Planning Analytics is a much more robust and complete solution for the CFO or COO in mind. Oracle Hyperion stacks up nicely against IBM Planning Analytics. However, IBM's investment in AI allows Planning Analytics users more options and speed.
Chose IBM Planning Analytics
It includes Oracle Cloud EPM Planning, Anaplan, and Adaptive Insight before deciding to choose IBM Planning Analytics. We selected Planning Analytics because of its work with complicated and many area models, the capability to work with big amounts of data, and compatibility …
Chose IBM Planning Analytics
Other options, namely Anaplan, Oracle EPM Cloud, and SAP Analytics Cloud, were also considered. Anaplan's interface lacked analytical depth. For product design metrics, flexibility was not as good in Oracle EPM Cloud. The final choice was moved by the fact that it was driven …
Chose IBM Planning Analytics
Prior to making the decision to go with IBM Planning Analytics, we had considered such options as Anaplan, Oracle Hyperion, and SAP Analytics Cloud. Despite the collaborative solutions offered by Anaplan and the good connection with other systems by SAP, the superb set of tool …
Chose IBM Planning Analytics
In this case, Vena and Planful are considered as other products that can be compared with IBM Planning Analytics, but among them, IBM Planning Analytics is more optimal in terms of user interface and integration. Its preconfigure risk assessment model and its format and …
Chose IBM Planning Analytics
This was an older verions that was also very good, but the new IBM Planning Analytics is a far better tool that enables better scenario planning or what-if analysis.
Chose IBM Planning Analytics
IBM PA is like having pivot tables on steroids. Possibilities are endless.
Chose IBM Planning Analytics
Ability to plan more products, locations, customers
Less expensive
Client already had IBM PA for FP&A
Chose IBM Planning Analytics
Sandboxing,Integration and Flexibility
Chose IBM Planning Analytics
IBM Planning Analytics is easier to use and setup for me. Easier to make reports. Works fast
Chose IBM Planning Analytics
We have been using IBM Planning Analytics and haven't explored other products that could cover our business needs.
SAP Analytics Cloud
Chose SAP Analytics Cloud
Its a modern user interface to access the data that BW is collecting
Chose SAP Analytics Cloud
Specific for planning

Específico para planificación
Chose SAP Analytics Cloud
Integrated model with SAP.
Chose SAP Analytics Cloud
Microsoft Power BI and Qlik Cloud Analytics (Qlik Sense)
Chose SAP Analytics Cloud
In our organization, we chose SAP Analytics Cloud because, in our experience, SAP Analytics Cloud has more power
Chose SAP Analytics Cloud
Real time connections with SAP and integration with our ERP
Chose SAP Analytics Cloud
Anaplan provides more power to the superusers but is not tightly integrated with SAP
Chose SAP Analytics Cloud
SAP Datasphere and SAP Integration Suite
Chose SAP Analytics Cloud
I have not had enough direct experience with the other products to offer a fair or informed comparison.
Chose SAP Analytics Cloud
Power BI definitely has more users and customers
Chose SAP Analytics Cloud
I was not involved in the decision making process, however a key benefit of SAP Analytics Cloud was our use of S4/HANA and the integration of master data cross-system.
Chose SAP Analytics Cloud
In case your source system is SAP then it is more user-friendly and also data can be accessed in real time. Even though Power BI can connect to multiple source systems, SAP ecosystem is more user friendly and also can connect to multiple products like Datasphere, BDC. Whereas …
Chose SAP Analytics Cloud
Like i mentioned earlier, SAP Analytics Cloud is the tool where SAP brought everything together at the right time starting with AI and planning capabilities. With evaluation of different tools for dashboard, this is where SAP made the right decision and this is the tool that is …
Chose SAP Analytics Cloud
all planning solutions are on par from a feature function standpoint
Chose SAP Analytics Cloud
Great compatibility to sap sources and easy planning and reporting
Chose SAP Analytics Cloud
It's a cool tool, but has taken some time to launch widely across my company due to compliance requirements.
Chose SAP Analytics Cloud
The key advantage of SAP Analytics Cloud is its native integration capabilities with the existing SAP landscape like SAP S/4 or BW/4 systems. This makes the development a breeze and very straight forward. Also with data sphere being evolved more and more by SAP, there are a lot …
Features
IBM Planning AnalyticsSAP Analytics Cloud
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Planning Analytics
7.5
Ratings
1% below category average
SAP Analytics Cloud
7.6
Ratings
7% below category average
Pixel Perfect reports7.30 Ratings7.40 Ratings
Customizable dashboards7.30 Ratings7.90 Ratings
Report Formatting Templates7.70 Ratings7.40 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Planning Analytics
7.6
Ratings
2% below category average
SAP Analytics Cloud
7.5
Ratings
7% below category average
Drill-down analysis7.90 Ratings7.90 Ratings
Formatting capabilities7.40 Ratings7.30 Ratings
Integration with R or other statistical packages7.40 Ratings6.90 Ratings
Report sharing and collaboration7.80 Ratings8.10 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Planning Analytics
8.0
Ratings
0% below category average
SAP Analytics Cloud
7.4
Ratings
10% below category average
Publish to Web7.90 Ratings7.70 Ratings
Publish to PDF7.90 Ratings7.80 Ratings
Report Versioning8.30 Ratings7.50 Ratings
Report Delivery Scheduling7.90 Ratings7.50 Ratings
Delivery to Remote Servers00 Ratings6.70 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM Planning Analytics
7.3
Ratings
2% below category average
SAP Analytics Cloud
7.4
Ratings
8% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)7.70 Ratings7.80 Ratings
Location Analytics / Geographic Visualization6.80 Ratings7.50 Ratings
Predictive Analytics7.80 Ratings7.20 Ratings
Pattern Recognition and Data Mining6.80 Ratings7.00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM Planning Analytics
7.8
Ratings
7% below category average
SAP Analytics Cloud
8.2
Ratings
3% below category average
Multi-User Support (named login)7.80 Ratings8.20 Ratings
Role-Based Security Model7.40 Ratings8.00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)8.00 Ratings8.10 Ratings
Report-Level Access Control7.50 Ratings8.20 Ratings
Single Sign-On (SSO)8.30 Ratings8.50 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM Planning Analytics
7.1
Ratings
4% below category average
SAP Analytics Cloud
7.4
Ratings
5% below category average
Responsive Design for Web Access7.50 Ratings7.50 Ratings
Mobile Application6.70 Ratings6.80 Ratings
Dashboard / Report / Visualization Interactivity on Mobile5.90 Ratings7.00 Ratings
Budgeting, Planning, and Forecasting
Comparison of Budgeting, Planning, and Forecasting features of Product A and Product B
IBM Planning Analytics
8.7
Ratings
7% above category average
SAP Analytics Cloud
-
Ratings
Long-term financial planning8.30 Ratings00 Ratings
Financial budgeting8.70 Ratings00 Ratings
Forecasting9.30 Ratings00 Ratings
Scenario modeling9.00 Ratings00 Ratings
Management reporting8.30 Ratings00 Ratings
Consolidation and Close
Comparison of Consolidation and Close features of Product A and Product B
IBM Planning Analytics
8.4
Ratings
8% above category average
SAP Analytics Cloud
-
Ratings
Financial data consolidation9.20 Ratings00 Ratings
Journal entries and reports9.30 Ratings00 Ratings
Multi-currency management8.20 Ratings00 Ratings
Intercompany Eliminations8.30 Ratings00 Ratings
Minority Ownership8.80 Ratings00 Ratings
Local and consolidated reporting7.20 Ratings00 Ratings
Detailed Audit Trails7.80 Ratings00 Ratings
Financial Reporting and Compliance
Comparison of Financial Reporting and Compliance features of Product A and Product B
IBM Planning Analytics
8.4
Ratings
6% above category average
SAP Analytics Cloud
-
Ratings
Financial Statement Reporting8.00 Ratings00 Ratings
Management Reporting8.50 Ratings00 Ratings
Excel-based Reporting9.30 Ratings00 Ratings
Automated board and financial reporting9.20 Ratings00 Ratings
XBRL support for regulatory filing6.80 Ratings00 Ratings
Analytics and Reporting
Comparison of Analytics and Reporting features of Product A and Product B
IBM Planning Analytics
8.3
Ratings
3% above category average
SAP Analytics Cloud
-
Ratings
Personalized dashboards8.90 Ratings00 Ratings
Color-coded scorecards7.90 Ratings00 Ratings
KPIs8.20 Ratings00 Ratings
Cost and profitability analysis8.00 Ratings00 Ratings
Key Performance Indicator setting8.30 Ratings00 Ratings
Benchmarking with external data8.30 Ratings00 Ratings
Integration
Comparison of Integration features of Product A and Product B
IBM Planning Analytics
8.7
Ratings
7% above category average
SAP Analytics Cloud
-
Ratings
Flat file integration8.40 Ratings00 Ratings
Excel data integration9.00 Ratings00 Ratings
Direct links to 3rd-party data sources8.80 Ratings00 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
IBM Planning Analytics
-
Ratings
SAP Analytics Cloud
7.1
Ratings
8% below category average
REST API00 Ratings7.10 Ratings
Javascript API00 Ratings7.00 Ratings
iFrames00 Ratings7.10 Ratings
Java API00 Ratings7.10 Ratings
Themeable User Interface (UI)00 Ratings7.40 Ratings
Customizable Platform (Open Source)00 Ratings6.80 Ratings
Best Alternatives
IBM Planning AnalyticsSAP Analytics Cloud
Small Businesses

No answers on this topic

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Yellowfin
Score 8.6 out of 10
Medium-sized Companies
Centage
Centage
Score 9.4 out of 10
Reveal
Reveal
Score 10.0 out of 10
Enterprises
OneStream
OneStream
Score 8.8 out of 10
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Kyvos Semantic Layer
Score 9.5 out of 10
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User Ratings
IBM Planning AnalyticsSAP Analytics Cloud
Likelihood to Recommend
8.0
(0 ratings)
8.1
(0 ratings)
Likelihood to Renew
9.1
(0 ratings)
8.7
(0 ratings)
Usability
7.8
(0 ratings)
7.7
(0 ratings)
Availability
-
(0 ratings)
5.0
(0 ratings)
Performance
-
(0 ratings)
4.0
(0 ratings)
Support Rating
7.3
(0 ratings)
6.3
(0 ratings)
In-Person Training
-
(0 ratings)
9.0
(0 ratings)
Online Training
-
(0 ratings)
5.3
(0 ratings)
Implementation Rating
-
(0 ratings)
6.4
(0 ratings)
Configurability
-
(0 ratings)
5.0
(0 ratings)
Ease of integration
-
(0 ratings)
6.0
(0 ratings)
Product Scalability
9.1
(0 ratings)
7.0
(0 ratings)
Vendor post-sale
-
(0 ratings)
8.0
(0 ratings)
Vendor pre-sale
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
IBM Planning AnalyticsSAP Analytics Cloud
Likelihood to Recommend
For a CFO or a COO to do budgeting and planning, IBM Planning Analytics would be essential. It is a tool that can take in multiple data sources and showcase them in a multidimensional way. If you are looking just for a BI or reporting tool, Planning Analytics would be considered "overkill".
Read full review
>> 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.
Read full review
Pros
  • Handle very large data volumes.
  • Scale to a large number of users.
  • Not having to compromise on business complexity.
  • It can be run by business users.
  • Availability of highly qualified consultants to support businesses.
  • REST API allows for an open eco system and a variety of solutions to extend the product.
  • Vast integration possibilities.
  • AI-infused engine with IBM Watson.
Read full review
  • 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.
Read full review
Cons
  • sometimes it is hard to produce pixel perfect reports from the Web UI. I know it is not made for this, but still, it'll be great
  • getting in e.g. an Excel file just by drag and drop, and the AI should "understand" what the data is all around
Read full review
  • 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
Read full review
Likelihood to Renew
Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.
Read full review
at the very beginning you need some sort of customizing and user trainings. At the end of the day this pays off. I would highly recommend an extended evaluation phase. That ensures a proper use. Over all - after the first hurdles were taken the application worked pretty smooth
Read full review
Usability
IBM Planning Analytics is generally good in terms of functionalities. It can be used reduce time for budget planning, resource planning, demand forecasting, etc. The performance of IBM Planning Analytics is acceptable, but user interface can be improved. It would be good to see new features that allow users to customise the dashboard.
Read full review
I landed on a 7 out of 10 for a few key reasons. The tool is flexible in the sense that we are using very very very (very) little off the shelf solutions and customizing to our needs. Users enjoy having the customized data actions, key variance calculations, and easy to use headcount/salary planning in the same tool. One downside is that users are hard to please when they are used to excel. SAP Analytics Cloud simply is not excel, and the flexibility of excel in a crunch is not there.
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Reliability and Availability
No answers on this topic
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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Performance
No answers on this topic
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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Support Rating
Although I find the IBM Planning analytics documentation quite time consuming, their support with email and call is something i can term as very considerate and patient, I have had few calls about the features and how i would want to implement them within my projects, and the teams have been super helpful to resolve my issues
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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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In-Person Training
No answers on this topic
Good videos and reference material available in SAP Portal.
Read full review
Online Training
No answers on this topic
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
Read full review
Implementation Rating
No answers on this topic
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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Alternatives Considered
For strong technical teams and flexibility IBM Planning Analytics is the way to go. For quicker adoption and less technical teams Anaplan is the best option. If consolidation, financials, and moving from legacy tools are main focus than OneStream will be a really good choice. If deeply invested into SAP already than the SAP BPC will be the best fit to maintain the investment.
Read full review
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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Scalability
No answers on this topic
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.
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Return on Investment
  • Much higher degree of accuracy in forecasting with the use of predictive analysis from historical data
  • Dozens of man hours saved in routine processes that are now handled with minimal human interaction
  • One system that holds the "source of truth," consolidating multiple systems together that were only accessible individually before
Read full review
  • 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.
Read full review
ScreenShots

IBM Planning Analytics Screenshots

Screenshot of Workflow managementScreenshot of Income statementScreenshot of Margin analysisScreenshot of Metrics managementScreenshot of Income statementScreenshot of Expense analysis