

Celonis and UiPath Process Mining both compete in the process mining industry. UiPath has the upper hand in AI integration, while Celonis is commended for its robust training and pre-built tools.
Features: Celonis excels with its pre-built analysis tools, automatic process mapping, and comprehensive analytics alongside ERP integration. UiPath stands out with its AI integration for machine learning, enabling advanced data mining and model development within UiPath Studio. Users value UiPath for its feature set but often prefer Celonis for data mining efficiency.
Room for Improvement: Celonis could benefit from enhanced flexibility and user-friendliness, along with improved integration with RPA and simpler data manipulation features. Its pricing is not ideal for small businesses. UiPath faces challenges with its learning curve and struggles with legacy system integration. Users report that its analytics can be less intuitive than Celonis and seek better pricing transparency and data handling capabilities.
Ease of Deployment and Customer Service: Both offer deployment options like public, private, and hybrid cloud. Celonis also supports on-premises deployment and is recognized for responsive support, though some delays are reported. UiPath's support is useful, though its pricing models can lack clarity, impacting user satisfaction.
Pricing and ROI: Celonis is often seen as expensive, particularly for smaller enterprises, but users find its high ROI justifies the cost through process efficiencies and savings. UiPath Process Mining presents a more affordable option with competitive pricing, appealing to budget-conscious buyers. Both solutions offer substantial ROI, though UiPath's affordability provides an edge.
In the first couple of years, I would not expect a return on investment because the initial setup will take more than a year if the process requires significant customization.
In my opinion, there's a positive return on investment.
I have seen a return on investment, especially in time saved for my clients; in the incident management process, the average cycle time for handling tickets was over ninety-eight hours, but after identifying root causes, such as tickets being held due to wrong group allocation, the cycle time reduced to approximately thirty-eight hours.
It took more than two weeks to receive a response.
Celonis customer support is really good; they investigate concerns thoroughly and provide solutions or troubleshooting steps, which I find helpful.
Other times I do not get much clarity on the support from the team.
UiPath provides exceptional customer service and support, primarily due to its active community forum, community.uipath.com, which offers 24/7 support from developers and community members.
From a technical support standpoint, the SMEs are not confident enough in deciding what should be done.
They prioritize support based on the number of licenses purchased by an organization
I recall that when we started using Celonis, we had a space of five terabytes and around one thousand users, and Celonis managed all of that easily.
I recommend focusing on recent data or perhaps five years of historical data along with live data for better visibility and stability in the process.
At the moment, I'd rate scalability six or seven out of ten.
There's significant room for enhancing process integration, data accuracy, and the general applicability of process mining.
UiPath as a whole is scalable and works well for large-scale organizations.
It's super stable.
Celonis is stable.
We find UiPath Process Mining to be generally stable, particularly with the current build.
Ultimately, I need niche expertise, combining strong SAP knowledge with Celonis competency.
It is essential for the Celonis solution to have their services and solution models integrated with GenAI.
The most important area for improvement is the automation part.
UiPath Process Mining is associated with a high cost and a difficult learning curve for those unfamiliar with process mining tools.
It should focus on identifying opportunities for automation and resource allocation efficiently.
Adoption is the key.
I think it's relatively expensive, but it's also good.
Based on client feedback, I have heard that the pricing for Celonis is considered high.
creating a data model for one process will differ in cost if you add more data models for additional processes.
Compared to other solutions such as Power Automate, UiPath is significantly more expensive, with its pro plan starting at $420 per month.
UiPath Process Mining is better priced than Celonis, which we found to be on the costlier side.
It is a high price for a low rating.
Celonis is also beneficial for its built-in apps that streamline tasks from legacy applications, facilitating daily operations and improving efficiency.
It provides a visualization of the process itself, giving a very good synthesis of performance and helping me find improvements.
It's the first solution that combines business competence and capabilities with technological capabilities.
These elements allowed us to effectively understand and improve client interactions and manage complex data, especially in the context of banking operations.
It provides root cause analysis, which identifies delays and deviations in processes, visualizes bottlenecks, and assesses their impact with insightful visualizations.
It is excellent in its ability to help us turn raw data into actionable information.
| Product | Mindshare (%) |
|---|---|
| Celonis | 14.4% |
| UiPath Process Mining | 5.3% |
| Other | 80.3% |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 44 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 9 |
| Large Enterprise | 42 |
Celonis empowers businesses with process mining, offering automation and AI features that visualize processes, identify bottlenecks, and optimize operations. With seamless integration and user-friendly tools, Celonis adds significant value to businesses aiming for operational efficiency.
Celonis is a leading tool for process mining and optimization, seamlessly connecting with SAP and Oracle systems through pre-built connectors. Its capabilities include visualizing processes, identifying inefficiencies, and optimizing workflows with comprehensive dashboards and action flows. While Celonis scores high on functionality, integration with Microsoft, Azure connectivity, and an improved pricing model are areas for improvement. Training resources and an intuitive interface are essential for users managing frequent updates and complex programming needs. With robust process analysis and automation features, Celonis enhances decision-making and resource allocation.
What key features does Celonis offer?In finance, procurement, and supply chain, Celonis is utilized to monitor and optimize entire business processes, analyzing data from systems like SAP and Oracle to uncover inefficiencies. Organizations leverage its process analysis and automation triggers for improved performance and resource allocation.
UiPath Process Mining provides advanced process visualization and AI-powered insights, helping organizations identify inefficiencies and streamline processes. It offers automated document understanding and comprehensive dashboards, optimizing workflows and enhancing productivity across departments.
UiPath Process Mining offers robust process analysis and automation insights, enabling companies to optimize business operations effectively. Its integration capabilities and detailed process mapping allow users to discover automation opportunities and improve task efficiency. While it provides significant efficiencies, enhancements in user-friendliness, integration with legacy systems, and additional AI capabilities could improve its competitiveness. Organizations use it to automate data entry, document processing, and system integration, enhancing productivity in finance, procurement, and HR, though a steep learning curve and pricing concerns are noted.
What are the key features of UiPath Process Mining?In specific industries like finance, procurement, and HR, UiPath Process Mining is utilized to automate repetitive tasks such as invoicing, reconciliation, and reporting, significantly reducing processing times and enhancing accuracy. Organizations leverage it for seamless data integration and informed decision-making, thereby discovering opportunities to streamline operations.
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