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At a Glance
Market Segments
Mid-Market (41.6% of reviews)
Mid-Market (40.0% of reviews)
Entry-Level Pricing
Contact Us
Free Trial 30 Day Trial of IBM Process Mining as a Service.
Bizagi
Star Rating
(268)4.6 out of 5
Market Segments
Mid-Market (41.6% of reviews)
Pros & Cons
Entry-Level Pricing
Contact Us
Browse all 2 pricing plansIBM 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 plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Bizagi excels in its Visual Editor with a score of 9.2, making it easier for teams to design workflows visually. In contrast, IBM Process Mining, while strong, does not have a comparable feature that matches this level of user satisfaction.
- Reviewers mention that IBM Process Mining shines in Quality of Support, scoring an impressive 9.7, which is significantly higher than Bizagi's 8.3. This indicates that users find IBM's support more responsive and helpful when issues arise.
- G2 users highlight Bizagi's Process Mapping - Simulation Software feature, which received a high score of 9.4, allowing for effective process visualization and analysis. Users on G2 feel this feature is crucial for understanding complex workflows.
- Users say that IBM Process Mining's Real-Time Process Monitoring feature, scoring 9.4, provides superior insights into ongoing processes, which is essential for timely decision-making. This is an area where Bizagi's score of 8.5 falls short.
- Reviewers mention that Bizagi's Collaboration tools, with a score of 9.1, facilitate teamwork effectively, but IBM Process Mining outperforms in this area with a score of 9.7, indicating a more robust set of collaborative features.
- Users report that while both products offer automation capabilities, IBM Process Mining's RPA Integration feature, scoring 9.1, is particularly praised for its seamless integration with existing systems, whereas Bizagi's score of 8.2 suggests room for improvement in this area.
Pricing
Entry-Level Pricing
Bizagi
Enterprise Pricing
Contact Us
Our consumption-based pricing enables you to start small at a lower initial investment, and then scale based on your needs over time. This makes transformation programs more accessible and reduces risk. Pricing based on usage creates a shared success dynamic, with a better correlation between cost and the value delivered. Bizagi is fully driven to help you deliver platform adoption and maximum business value. Furthermore, with no limits on the number of users or apps within your subscription and the ability to include suppliers and partners, you're free to experiment, creating new apps and automations without incurring any immediate cost.
- Consumption-Based 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
Free Trial
Bizagi
No trial information availableIBM Process Mining
Free Trial is available
Ratings
Meets Requirements
8.9
233
9.6
132
Ease of Use
9.0
238
9.5
133
Ease of Setup
8.8
218
8.1
21
Ease of Admin
8.7
114
8.3
16
Quality of Support
8.3
210
9.7
129
Has the product been a good partner in doing business?
8.6
108
8.8
14
Product Direction (% positive)
9.1
234
9.7
128
Features by Category
Automation Building
9.0
21
Not enough data
8.6
21
Not enough data
8.5
20
Not enough data
8.4
21
Not enough data
9.0
21
Not enough data
7.9
21
Not enough data
Bot Management & Execution
7.6
21
Not enough data
7.9
21
Not enough data
7.7
21
Not enough data
7.9
21
Not enough data
8.7
21
Not enough data
8.6
21
Not enough data
Intelligent Automation
7.7
21
Not enough data
7.5
21
Not enough data
7.6
21
Not enough data
Agentic AI - Robotic Process Automation (RPA)
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
Digital Workflows
9.2
65
|
Verified
Not enough data
8.6
68
|
Verified
Not enough data
8.6
67
|
Verified
Not enough data
Forms
9.0
67
|
Verified
Not enough data
8.8
68
|
Verified
Not enough data
8.4
65
|
Verified
Not enough data
Automation
9.0
68
|
Verified
Not enough data
9.0
67
|
Verified
Not enough data
8.7
66
|
Verified
Not enough data
8.0
67
|
Verified
Not enough data
Agentic AI - Digital Process Automation (DPA)
9.2
8
Not enough data
9.2
8
Not enough data
9.2
8
Not enough data
9.2
8
Not enough data
9.4
8
Not enough data
9.4
8
Not enough data
9.0
8
Not enough data
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
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
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
9.3
64
Not enough data
8.8
63
Not enough data
8.9
63
Not enough data
Performance Metrics
8.9
63
Not enough data
9.0
63
Not enough data
Visualizations
9.1
62
Not enough data
8.8
62
Not enough data
8.4
62
Not enough data
Scenario Analysis
8.5
63
Not enough data
8.7
62
Not enough data
8.6
62
Not enough data
Process Management
9.0
28
9.6
116
8.6
30
9.7
117
9.0
30
9.3
117
8.8
30
9.4
119
Process Analysis
9.1
30
9.6
119
8.8
30
9.4
118
8.9
30
9.6
119
Automation
8.2
29
9.1
29
8.3
29
9.7
118
Generative AI
Not enough data
7.6
7
Agentic AI - Process Mining
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
Generative AI
7.5
35
Not enough data
7.6
44
Not enough data
Process Management
9.1
149
Not enough data
9.0
147
Not enough data
8.4
143
Not enough data
8.6
137
Not enough data
8.2
139
Not enough data
7.9
138
Not enough data
8.6
136
Not enough data
Customization
8.8
149
Not enough data
9.2
153
Not enough data
8.7
149
Not enough data
8.3
150
Not enough data
8.5
140
Not enough data
Collaboration
8.4
150
Not enough data
8.5
147
Not enough data
8.6
148
Not enough data
8.9
141
Not enough data
Agentic AI - Business Process Management
8.1
15
Not enough data
8.1
15
Not enough data
8.1
15
Not enough data
8.1
15
Not enough data
8.0
15
Not enough data
8.0
15
Not enough data
8.6
15
Not enough data
Process Development
9.1
137
Not enough data
Functionality - Process Orchestration
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
Integration & Adaptability - Process Orchestration
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
Not enough data
Not enough data
Workflow Design & Orchestration
9.3
5
Not enough data
10.0
5
Not enough data
Integrations & Connectivity
9.7
5
Not enough data
10.0
5
Not enough data
Automation Execution & Intelligence
10.0
5
Not enough data
9.7
5
Not enough data
Development & Customization
10.0
5
Not enough data
10.0
5
Not enough data
Governance & Security
10.0
5
Not enough data
10.0
5
Not enough data
Reporting & Analytics
10.0
5
Not enough data
10.0
5
Not enough data
Agentic AI - Business Automation Platforms (BAPs)
10.0
5
Not enough data
10.0
5
Not enough data
10.0
5
Not enough data
10.0
5
Not enough data
10.0
5
Not enough data
10.0
5
Not enough data
Application Design
8.5
72
Not enough data
8.6
72
Not enough data
8.5
71
Not enough data
8.7
71
Not enough data
9.3
71
Not enough data
Data Control
8.5
69
Not enough data
8.6
70
Not enough data
8.8
68
Not enough data
Publishing
9.0
69
Not enough data
8.9
68
Not enough data
9.0
69
Not enough data
Agentic AI - Low-Code Development Platforms
9.3
5
Not enough data
9.7
5
Not enough data
9.7
5
Not enough data
User Interface Design
9.1
34
Not enough data
8.7
33
Not enough data
9.0
34
Not enough data
9.1
35
Not enough data
Data Control
8.7
33
Not enough data
8.8
34
Not enough data
8.8
34
Not enough data
Publishing
8.8
35
Not enough data
9.0
35
Not enough data
8.9
34
Not enough data
Agentic AI - No-Code Development Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AI Agents
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
Categories
Categories
Shared Categories
Bizagi and IBM Process Mining are categorized as Process Mining
Unique Categories
Bizagi is categorized as Business Process Simulation, Business Automation Platforms (BAPs), AI Agents For Business Operations, Digital Process Automation (DPA), Robotic Process Automation (RPA), No-Code Development Platforms, Low-Code Development Platforms, Business Process Management, and Process Orchestration
IBM Process Mining has no unique categories
Reviews
Reviewers' Company Size
Bizagi
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Process Mining
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
16.4%
Banking
7.2%
Computer Software
6.4%
Consulting
5.2%
Retail
4.4%
Other
60.4%
Information Technology and Services
21.3%
Telecommunications
15.5%
Computer Software
6.5%
Marketing and Advertising
5.8%
Internet
4.5%
Other
46.5%
Alternatives
Discussions
Bizagi has no discussions with answers
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
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