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Compare IBM Process Mining and UiPath Agentic Automation 
Featured Products
At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Enterprise (47.9% of reviews)
Entry-Level Pricing
Free Trial 30 Day Trial of IBM Process Mining as a Service.
No pricing available
IBM Process Mining
Star Rating
(157)4.7 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial 30 Day Trial of IBM Process Mining as a Service.
Browse all 4 pricing plansUiPath Agentic Automation
Star Rating
(7,254)4.6 out of 5
Market Segments
Enterprise (47.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about UiPath Agentic AutomationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that UiPath Agentic Automation excels in overall user satisfaction, boasting a significantly higher G2 Score compared to IBM Process Mining. Users appreciate its innovative features, particularly the integration of Generative AI, which allows for more flexible automation workflows.
- Users say that the implementation process for UiPath Agentic Automation is notably quick and intuitive, with many highlighting the ease of onboarding. In contrast, while IBM Process Mining is praised for its simplicity, it has fewer recent reviews, suggesting a less active user base.
- Reviewers mention that UiPath Agentic Automation is particularly effective at automating complex end-to-end processes, even those that are unpredictable. This capability is a standout feature that users find transformative, whereas IBM Process Mining is recognized for enhancing workflow transparency but may not match the same level of complexity in automation.
- According to verified reviews, both products receive high marks for their support, but IBM Process Mining edges out slightly with a higher quality of support rating. Users appreciate the deep visibility and operational performance improvements it offers, which can be crucial for businesses looking to optimize processes.
- Users highlight that UiPath Agentic Automation's ability to analyze unstructured data and make autonomous decisions is a game changer, setting it apart in the automation landscape. Meanwhile, IBM Process Mining is noted for its effective AI features that assist in data analysis, but it may not provide the same level of automation flexibility.
- Reviewers note that while both products have strong collaboration and integration capabilities, UiPath Agentic Automation's RPA integration is particularly well-received, allowing for seamless connections with existing systems. This is a critical advantage for enterprises looking to enhance their automation strategies.
Pricing
Entry-Level Pricing
IBM Process Mining
IBM Process Mining Trial
Free Trial
30 Day Trial of IBM Process Mining as a Service.
Discover the power of process intelligence with IBM Process Mining.
Start your 30-day free trial to explore how IBM Process Mining uncovers inefficiencies, monitors compliance, and delivers AI-powered insights for actionable results. Upload up to 1GB of data and experience the full platform (task mining excluded) in a secure and scalable environment.
- AI insights
- Workflow optimization
- Compliance monitoring
UiPath Agentic Automation
No pricing availableFree Trial
IBM Process Mining
Free Trial is available
UiPath Agentic Automation
Free Trial is available
Ratings
Meets Requirements
9.6
132
9.1
4,607
Ease of Use
9.5
133
9.1
5,086
Ease of Setup
8.1
21
8.6
2,196
Ease of Admin
8.3
16
8.5
1,581
Quality of Support
9.7
129
8.8
4,402
Has the product been a good partner in doing business?
8.8
14
8.8
1,527
Product Direction (% positive)
9.7
128
9.5
4,531
Features by Category
Automation Building
Not enough data
9.1
3336
|
Verified
Not enough data
8.9
3340
|
Verified
Not enough data
8.8
3236
|
Verified
Not enough data
8.9
3293
|
Verified
Not enough data
8.9
3188
|
Verified
Not enough data
9.3
1514
|
Verified
Bot Management & Execution
Not enough data
9.1
3188
|
Verified
Not enough data
9.0
3196
|
Verified
Not enough data
9.0
3187
|
Verified
Not enough data
8.9
3027
|
Verified
Not enough data
9.1
1479
|
Verified
Not enough data
9.2
1479
|
Verified
Intelligent Automation
Not enough data
9.0
1443
Not enough data
9.0
1384
|
Verified
Not enough data
8.9
1326
Agentic AI - Robotic Process Automation (RPA)
Not enough data
8.5
86
Not enough data
8.3
83
Not enough data
8.4
86
Not enough data
8.4
85
Not enough data
8.3
81
Not enough data
8.2
84
Not enough data
8.2
80
Development
Not enough data
8.3
59
Not enough data
8.2
15
Not enough data
8.4
15
Not enough data
8.9
16
Not enough data
8.3
15
Not enough data
8.7
15
Not enough data
8.3
16
Management
Not enough data
8.6
16
Not enough data
8.8
14
Not enough data
8.6
15
Not enough data
8.5
16
Not enough data
8.7
15
Security
Not enough data
8.9
16
Not enough data
8.8
16
Not enough data
9.0
16
Integration Options
Not enough data
8.6
15
Not enough data
8.3
15
Not enough data
7.4
14
Not enough data
7.3
13
Deployment
Not enough data
8.8
14
Not enough data
9.0
13
Process Management
9.6
116
9.4
201
9.7
117
9.4
202
9.3
117
9.5
198
9.4
119
9.4
202
Process Analysis
9.6
119
9.4
201
9.4
118
9.4
199
9.6
119
9.4
200
Automation
9.1
29
9.7
200
9.7
118
9.6
198
Generative AI
7.6
7
8.8
23
Agentic AI - Process Mining
Not enough data
7.7
10
Not enough data
7.8
13
Not enough data
7.5
10
Not enough data
7.1
11
Not enough data
7.7
11
Not enough data
7.9
11
Not enough data
7.7
11
Functionality
Not enough data
9.2
124
Not enough data
9.2
120
Not enough data
9.2
121
Not enough data
9.2
119
Automation
Not enough data
9.3
123
Not enough data
9.2
119
Not enough data
9.2
120
Agentic AI - Automation Testing
Not enough data
8.7
21
Not enough data
8.4
21
Not enough data
8.2
21
Data Capture
Not enough data
8.6
85
Not enough data
8.6
85
Data Extraction
Not enough data
8.7
85
Not enough data
8.7
85
Data Validation
Not enough data
8.5
85
Workflow Automation
Not enough data
8.8
83
Not enough data
8.9
85
Document Management
Not enough data
8.7
84
Not enough data
8.5
84
Machine Learning
Not enough data
8.3
83
Natural Language Processing
Not enough data
8.3
83
Semantic Analysis
Not enough data
8.4
81
Data Integration
Not enough data
8.8
83
Security
Not enough data
8.9
85
Not enough data
8.9
83
Customization - AI Agent Builders
Not enough data
8.5
52
Not enough data
8.3
51
Not enough data
8.5
49
Functionality - AI Agent Builders
Not enough data
7.9
51
Not enough data
8.5
51
Not enough data
8.3
51
Not enough data
8.4
51
Data and Analytics - AI Agent Builders
Not enough data
8.5
50
Not enough data
8.5
51
Not enough data
8.5
51
Integration - AI Agent Builders
Not enough data
8.9
52
Not enough data
8.6
52
Not enough data
8.5
51
Not enough data
8.4
51
Workflow Design & Orchestration
Not enough data
8.7
21
Not enough data
8.5
22
Integrations & Connectivity
Not enough data
8.3
21
Not enough data
8.4
22
Automation Execution & Intelligence
Not enough data
8.6
22
Not enough data
8.6
21
Development & Customization
Not enough data
8.6
22
Not enough data
8.6
21
Governance & Security
Not enough data
8.5
22
Not enough data
8.8
21
Reporting & Analytics
Not enough data
8.6
22
Not enough data
8.2
22
Agentic AI - Business Automation Platforms (BAPs)
Not enough data
8.5
17
Not enough data
8.5
17
Not enough data
8.6
17
Not enough data
8.4
15
Not enough data
8.2
16
Not enough data
8.2
15
Generation and Interpretation - AI App Builder
Not enough data
8.8
7
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
9.0
7
Generated Application Quality - AI App Builder
Not enough data
8.8
7
Not enough data
8.3
7
Not enough data
8.1
7
Not enough data
9.3
7
Agentic AI - SAP Store
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
Not enough data
9.0
30
Not enough data
8.6
30
Not enough data
8.5
32
Not enough data
8.6
31
Not enough data
8.5
32
Not enough data
8.4
31
Performance Optimization & Analytics - AI Orchestration
Not enough data
8.7
31
Not enough data
8.8
31
Not enough data
8.8
32
Not enough data
8.3
31
Not enough data
8.4
31
Not enough data
8.6
31
Governance & Compliance Controls - AI Orchestration
Not enough data
8.8
28
Not enough data
8.9
31
Not enough data
9.3
29
Not enough data
8.9
30
Not enough data
9.0
29
AI Test Generation & Authoring
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Test Maintenance & Resilience
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Execution & Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Application Design
Not enough data
9.3
652
Not enough data
9.2
656
Not enough data
9.2
629
Not enough data
9.3
649
Not enough data
9.5
670
Data Control
Not enough data
9.3
643
Not enough data
9.3
643
Not enough data
9.3
643
Publishing
Not enough data
9.4
654
Not enough data
9.4
659
Not enough data
9.5
650
Agentic AI - Low-Code Development Platforms
Not enough data
8.3
25
Not enough data
8.3
23
Not enough data
8.3
23
Categories
Categories
Shared Categories
IBM Process Mining and UiPath Agentic Automation are categorized as Process Mining
Unique Categories
IBM Process Mining has no unique categories
UiPath Agentic Automation is categorized as AI Agent Builders, AI Orchestration, Automation Testing, Robotic Process Automation (RPA), Intelligent Document Processing (IDP), SAP Store, AI App Builder, AI Software Testing Tools, Business Automation Platforms (BAPs), iPaaS, and Low-Code Development Platforms
Reviews
Reviewers' Company Size
IBM Process Mining
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
UiPath Agentic Automation
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
21.3%
Telecommunications
15.5%
Computer Software
6.5%
Marketing and Advertising
5.8%
Internet
4.5%
Other
46.5%
Information Technology and Services
26.6%
Computer Software
9.5%
Financial Services
6.4%
Pharmaceuticals
3.7%
Telecommunications
3.7%
Other
50.2%
Alternatives
Discussions
How do IBM Process mining improves operational excellence
1 Comment
DK
Process Mining uses a data-driven approach to process discovery vs a traditional collaborative approach of mrocess modeling.
IBM Process Mining provides...Read more
IBM Process Mining has no more discussions with answers
Is it possible to integrate UIPath with any other software?
24 Comments
AD
Yes UI path integrates with another Application interfacing elements are triggers and user actionsRead more
What is the best way to learn more instead of just watching video tutorials?
8 Comments
SP
You have to practice more and more .Read more
How much accurate is OCR
7 Comments
DH
UiPath uses many different methods of text recognition and reading, including multiple OCR engines such as Microsoft and Google, all of which are very reliable.Read more
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