

Find out what your peers are saying about Alteryx, SAP, Red Hat and others in Predictive Analytics.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Since using this tool, I can now make decisions faster, even when there is just a small change in the data.
I have seen a return on investment such as a thirty percent increase in efficiency.
These use cases are already available in the market, and we have references that show these capabilities.
Customer support from Alteryx has been amazing.
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
I contacted customer support once or twice, and they were quick to respond.
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.
The customer support for IBM Planning Analytics is very responsive and supportive 24/7.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Alteryx is scalable, and I would give it eight out of ten.
It handles literally every single data we give to it without lagging or crashing.
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.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
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.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
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.
IBM Planning Analytics does not work offline, which makes it difficult for me and my team to work or gather required data when we do not have an internet connection.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
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.
Regarding pricing, the cost is high compared to the competitors of IBM Planning Analytics.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
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.
The scenario modeling feature in IBM Planning Analytics is probably the most robust planning and forecasting solution we use, especially for what-if scenarios.
| Product | Mindshare (%) |
|---|---|
| Alteryx One | 8.7% |
| DataRobot | 6.4% |
| Red Hat Lightspeed | 6.0% |
| Other | 78.9% |
| Product | Mindshare (%) |
|---|---|
| IBM Planning Analytics | 4.0% |
| Workday Adaptive Planning | 5.9% |
| Anaplan | 5.8% |
| Other | 84.3% |


| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 19 |
| Midsize Enterprise | 4 |
| Large Enterprise | 18 |
Alteryx is the agentic analytics and automation company helping organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business—analysts and operations teams—Alteryx helps organizations put data and AI to work by connecting data, applying governed business logic, and automating data-intensive processes.
At the center of this approach is Alteryx One, a platform designed to work across an organization’s existing data and technology ecosystem. It enables teams to bring together data, prepare and analyze it, and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights without coding.
Alteryx workflows close the last-mile gap between data platforms and the decisions and operations that run the business. While data platforms provide the foundation and AI creates new possibilities, the business logic needed to turn information into reliable action is often trapped in spreadsheets, processes, and the expertise of individual teams. Alteryx makes that logic visible, understandable, repeatable, and auditable (VURA)—giving AI the trusted business context it needs to deliver reliable results. This helps organizations scale trusted analytics and automation across teams without relying on specialized technical skills.
Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, customers run more than 380 million workflows on Alteryx each year.
Alteryx One brings together data, analytics, business logic, and AI to help organizations move from AI experimentation to trusted, enterprise-scale execution. Key capabilities include:
Alteryx One helps organizations turn AI and data investments into trusted business outcomes by connecting enterprise data, governed business logic, and AI-powered workflows.
By bringing together enterprise data, governed business logic, analytics, and AI, Alteryx helps organizations move beyond AI-generated answers to trusted, verifiable outcomes and intelligent workflows that drive real business value.
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.
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