

IBM Planning Analytics and SAP Business Data Cloud are formidable contenders in the business analytics domain, competing in data-driven decision support and enterprise planning. IBM Planning Analytics stands out in data management and scenario planning, while SAP Business Data Cloud is renowned for its robust integration within the SAP ecosystem and intuitive analytics interface.
Features: IBM Planning Analytics offers high-speed calculations, real-time scenario analysis, and extensive Excel integration ensuring a seamless user experience. Its centralized data storage and machine learning integration are valued in transforming raw data into actionable insights. SAP Business Data Cloud provides comprehensive analytics with built-in AI and machine learning capabilities, offering predictive analysis and the flexibility of integrating BI and planning functionalities into a single platform. Its smooth SAP ecosystem integration enhances collaboration among business units.
Room for Improvement: IBM Planning Analytics has areas for enhancement in its data visualization features and the modernization of its development environment to match contemporary IDE standards. Users report the need for improved dashboarding functionalities. SAP Business Data Cloud could benefit from enhanced connectivity with non-SAP systems and more competitive visualization capabilities, while better integration tools and flexible pricing options are also needed to remain competitive.
Ease of Deployment and Customer Service: IBM Planning Analytics deploys on-premises or via the public cloud, generally requiring moderate support with positive feedback on its responsive customer service. SAP Business Data Cloud's deployment, optimized for SAP environments, benefits from its cloud integration facilitating smoother setup, although customer support, while satisfactory, has been critiqued for its slower response times.
Pricing and ROI: IBM Planning Analytics, though considered expensive, justifies its pricing with strong ROI outcomes through process improvements and accuracy in decision-making. Its cost is perceived as aligned with capabilities despite being higher than competitors. SAP Business Data Cloud also faces pricing criticism but offers valuable features for enterprises, leveraging comprehensive analytics within the SAP framework, posing challenges for smaller businesses.
I have seen a return on investment, as the accuracy has really improved in my organization since everything is automated.
Since using this tool, I can now make decisions faster, even when there is just a small change in the data.
We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.
Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.
There is a return on investment with SAP Business Data Cloud, as it saves money because it performs results quickly and easily, facilitating integrations and speeding up operations compared to other analytics tools, thereby saving time and money.
We have a multi-level support system, with the initial level handled by the company we bought the license from and subsequent support from IBM.
Instead, we rely on third-party partners recognized by IBM, who provide cost-effective support.
They have been very dedicated and provided top-notch solutions.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
For example, when I provide a set of instructions, they often simply ask me to implement those steps without checking whether they are applicable.
In SAP's policy, for the first couple of years, the product team is also part of the support team.
IBM Planning Analytics' scalability is impressive, as it is able to gather data from multiple sources and handle huge amounts of data without any lagging or downtime.
Scalability is quite hard to implement in TM1, largely since the on-premise installation chosen back in 2014.
Scalability is straightforward but it is pricey since it's a SaaS model priced per user.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
Since SAP has consolidated everything on one platform, there is ample room to expand as much as needed.
There are no limitations in terms of scale, so it fits both SMB customers and enterprise customers.
The performance of IBM Planning Analytics has always been fast and reliable for my needs, even when dealing with huge volumes of data.
This stability is really important as we use it for budget calculation, which is time-consuming.
IBM Planning Analytics is stable because the reason we switched from IBM Cognos is that IBM Planning Analytics capability allows us to connect to multiple tools, which we could not do before.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
Other than during these quarterly release periods, the availability is excellent.
In a typical quarter, the availability has been over 99%; in a few cases, it dropped to around 98.5%.
The abundance of features results in complexity, requiring strict guidelines for developers to ensure simplistic approaches are adhered to.
IBM's visualization needs significant improvement.
The advanced features are somewhat complex to understand, and if the data set is very large, it takes a lot of time to process, which causes performance to become slower.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
TM1 is quite expensive, and I'd rate the pricing as an eight out of ten.
While IBM's solutions were costly before, the introduction of SaaS models has reduced prices significantly.
My experience with pricing, setup cost, and licensing for IBM Planning Analytics is that the pricing and licensing cost can be somewhat on the higher side, especially for small organizations.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
Frankly, pricing, setup cost, and licensing seem a bit high compared to other hyperscalers.
The pricing for SAP Business Data Cloud is higher compared to alternatives.
Its stability helps controllers win time in their planning processes.
It also integrates machine learning and AI engines, enabling us to use algorithms for inventory forecasting which optimizes our inventory and replenishment rates.
Some of the valuable features of IBM Planning Analytics are its intuitive and user-friendly interface, reporting output and scheduling, access control and security, and mobile capabilities.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.
The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.
| Product | Mindshare (%) |
|---|---|
| SAP Business Data Cloud | 2.8% |
| IBM Planning Analytics | 4.4% |
| Other | 92.8% |

| Company Size | Count |
|---|---|
| Small Business | 16 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 19 |
| Large Enterprise | 51 |
IBM Planning Analytics offers a robust planning, budgeting, and forecasting platform powered by TM1 technologies, integrating with Excel while offering real-time calculations, data governance, and security.
Supporting flexible scenario modeling and forecasting, IBM Planning Analytics enhances planning processes via machine learning, real-time data calculations, and meaningful collaboration. In-memory processing and data slicing boost automation, reduces errors, and increase performance, while the centralized database facilitates secure and governed data management. Sandbox environments assist users in testing scenarios, and integration with Excel is crucial for financial planning and resource allocation.
What are the key features of IBM Planning Analytics?In multiple industries, IBM Planning Analytics is key in supporting budgeting, planning, and forecasting efforts. Financial services use it for cash flow modeling and resource allocation, while manufacturing sectors benefit from its dashboard-driven data visualization capabilities. Businesses utilize its robust reporting and real-time analysis functionalities to manage resources and assess future risks effectively.
SAP Business Data Cloud provides cloud-based predictive analysis, robust visualization, and integrated planning capabilities with seamless SAP integration. It enhances analytics and reporting efficiency with machine learning and AI features.
SAP Business Data Cloud stands out with its user-friendly application design, leveraging TypeScript scripting for flexibility. It enables easy data integration, customizable dashboards, and collaborative planning. Renowned for its seamless connectivity and comprehensive business intelligence offerings, it is designed to support real-time analytics and planning across both on-prem and cloud environments. Improvements are anticipated in visualization features, connectivity, and third-party system integration, with calls for more customizable chart options and real-time reporting capabilities.
What are the most important features of SAP Business Data Cloud?SAP Business Data Cloud serves industries by powering cloud-based reporting, analytics, financial planning, and executive dashboards. Companies utilize it to integrate SAP and non-SAP data sources for insights and forecasts. It is applied in constructing dashboards, boardroom presentations, budgeting, and predictive analytics, supporting versatile use cases across multiple sectors.
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