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Celonis vs Cube comparison

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Comparison Buyer's Guide

Executive Summary

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

Celonis
Ranking in AI Data Analysis
10th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
60
Ranking in other categories
Process Mining (2nd)
Cube
Ranking in AI Data Analysis
18th
Average Rating
8.4
Reviews Sentiment
6.2
Number of Reviews
5
Ranking in other categories
Embedded BI (10th)
 

Mindshare comparison

As of October 2026, in the AI Data Analysis category, the mindshare of Celonis is 0.4%. The mindshare of Cube is 0.3%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Celonis0.4%
Cube0.3%
Other99.3%
AI Data Analysis
 

Featured Reviews

Prateek Rao - PeerSpot reviewer
PARTNER & MANAGING DIRECTOR at a financial services firm with 5,001-10,000 employees
Process intelligence has transformed procurement and order cycles and delivers measurable savings
Celonis can improve in several areas. The initial data modeling and continuous real-time ingestion, especially from non-standard legacy systems, can still be complex and quite resource-intensive, requiring a steep PQL learning curve for non-technical users. Simplifying the interface for business stakeholders would significantly accelerate the process. I think introducing a natural language to query interface would allow business users to query data without writing long PQL. Streamlining guided onboarding flows and offering modular plug-and-play dashboard templates tailored to specific roles would shorten ramp-up time for daily users. I think more transparent and predictable consumption-based pricing models would be helpful as data volume scaling can get costly quickly. I would also love to see native, real-time streaming connectors for unstructured data such as emails and support tickets. The learning curve for new users of Celonis is one of the pain points I raised earlier, and I find it to be quite steep.
Amir Hassan - PeerSpot reviewer
Data Scientist / Data Analytics Consultant at Fiverr International Ltd
Managing complex data hierarchies has improved analytics but still needs richer hierarchy types
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

Quotes from Members

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

Pros

"My two favorite features are execution management and process intelligence, which provide 360-degree data."
"The support we receive from Celonis is good."
"In my opinion, it's quite an advanced tool."
"We are trying to optimize all of our organizational processes with this solution, and it gives full visibility of how a process is run end to end."
"Orders are getting faster, clients are happier, and we can also redeploy the resources to process something else."
"With the help of data mining, we can identify different costs. Celonis does background research into the data from the different solutions and puts it into the dashboard and so we can see the differences between the pricing over the previous years."
"Regarding the measurable bottom-line value, I captured nearly 1.2 million in annualized early payment discounts, reduced duplicate, erroneous invoice payments by approximately 800 to 900 thousand USD, and automated exception handling cut manual process touchpoints by approximately 30 to 40%, saving approximately 15,000 to 20,000 operational labor hours annually."
"The solution has very detailed documentation for technical items so it is very easy for developers to use."
"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."
"Cube's caching mechanism impacts my database query loads and response times significantly."
"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."
"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."
 

Cons

"It is not particularly flexible in the way it works, and it is quite rigid."
"I have experienced lags in response times from customer service. We are not always receiving responses on time."
"The way they manage the data should also be improved. There is a lot of room for improvement there because a lot of duplicated data gets created, which should be improved. There should be ease of data management and code management."
"For example, we would like to see improvement of the simulation capabilities to include a BPMN-compliant modeler. That is, we would like to be able to connect the simulation to the BPMN modeler. I think it's one of the features that is missing in Celonis."
"The task mining feature of Celonis needs improvement because it's more challenging than it looks."
"I believe one thing I can recommend here is that they create a community atmosphere to assist new users in doing hands-on work."
"The pricing policy is not affordable in Ukraine."
"Celonis needs to improve the feature channel."
"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."
"Cube can be improved by enhancing data refresh over multiple tabs."
"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."
"There is no way to create a real template that is not exposed directly in the UI."
"I did not see any return on investment from Cube."
 

Pricing and Cost Advice

"The solution’s pricing is based on APC. It charges you based on the amount of GV that you use."
"Celonis is expensive, but it is functional."
"Celonis is expensive. It's not for mid or low-sized enterprises because the license price is high. Overall, it's quite pricey compared to anything else that I have heard about. But the good thing is that they don't charge per user. They charge for the data model."
"The cost would be a concern for a certain category of customers. Flexible cost models would help smaller players be able to adapt Celonis into their business operations."
"Celonis offers free learning possibilities. I am using the free version of Celonis."
"The pricing is reasonable."
"The solution’s pricing is high when compared to other process mining tools."
"Once we try to scale it up, the product becomes expensive."
Information not available
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Top Industries

By visitors reading reviews
Manufacturing Company
17%
Outsourcing Company
8%
Financial Services Firm
8%
Computer Software Company
8%
Construction Company
24%
Comms Service Provider
16%
Manufacturing Company
9%
Outsourcing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise6
Large Enterprise47
No data available
 

Questions from the Community

Which is better - Signavio Process Manager or Celonis?
SAP Signavio Process Manager is a very robust industrial-grade business process modeling tool. It is easy to use and does not require too much technological involvement. This solution has a collabo...
What is your experience regarding pricing and costs for Celonis?
I am not heavily involved in that particular aspect, but I have heard that Celonis is somewhat expensive.
What needs improvement with Celonis?
Celonis can improve in several areas. The initial data modeling and continuous real-time ingestion, especially from non-standard legacy systems, can still be complex and quite resource-intensive, r...
What is your experience regarding pricing and costs for Cube?
The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.
What needs improvement with Cube?
To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These ...
What is your primary use case for Cube?
In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...
 

Comparisons

 

Overview

 

Sample Customers

Anheuser-Busch InBev, AXA, Bayer, Cisco, Deloitte, Deutsche Telekom, Hitachi, Kellogg's, Lufthansa, and Whirlpool
Information Not Available
Find out what your peers are saying about Celonis vs. Cube and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.