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Compare IBM Process Automation Manager Open Edition and NewgenONE Digital Transformation Platform 
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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (58.4% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
IBM Process Automation Manager Open Edition
Star Rating
(19)4.4 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Process Automation Manager Open EditionNewgenONE Digital Transformation Platform
Star Rating
(90)4.5 out of 5
Market Segments
Enterprise (58.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about NewgenONE Digital Transformation PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the "Visual Editor" in NewgenONE Digital Transformation Platform is highly intuitive, allowing for easy automation building, while reviewers mention that IBM Process Automation Manager Open Edition's visual tools are less user-friendly, making it harder for non-technical users to create workflows.
- Reviewers mention that NewgenONE excels in "Workflow Recording" with a score of 9.7, which allows users to easily capture and automate processes, whereas users on G2 note that IBM's workflow recording features are not as robust, scoring only 7.5.
- G2 users highlight that NewgenONE's "Document Management" capabilities, scoring 9.1, provide comprehensive features for contract creation and management, while users report that IBM's document management features are less comprehensive, scoring 7.5.
- Users say that NewgenONE's "Custom Automation" feature, with a score of 9.4, allows for extensive customization of workflows, which is a significant advantage over IBM Process Automation Manager, where users feel limited by its more rigid automation options.
- Reviewers mention that NewgenONE's "Data Migration" feature scores an impressive 9.7, making it easier to transition data from legacy systems, while users on G2 report that IBM's data migration capabilities are not as seamless, scoring only 8.1.
- Users report that NewgenONE's "Real-Time Process Monitoring" feature, scoring 8.9, provides better insights into workflow performance compared to IBM's offering, which scores 7.5, leading to a more proactive approach to process management.
Pricing
Entry-Level Pricing
IBM Process Automation Manager Open Edition
No pricing availableNewgenONE Digital Transformation Platform
No pricing availableFree Trial
IBM Process Automation Manager Open Edition
No trial information availableNewgenONE Digital Transformation Platform
No trial information availableRatings
Meets Requirements
8.6
12
8.5
70
Ease of Use
8.3
12
8.5
74
Ease of Setup
8.5
8
7.5
45
Ease of Admin
8.5
8
7.9
45
Quality of Support
7.8
12
8.4
71
Has the product been a good partner in doing business?
8.5
8
8.6
43
Product Direction (% positive)
10.0
12
9.3
81
Features by Category
Edit
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Logistics
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
Setup
Not enough data
8.3
16
Not enough data
9.0
17
Not enough data
7.9
13
Not enough data
8.3
15
Management
Not enough data
8.7
14
Not enough data
8.5
16
Not enough data
8.6
16
Generative AI
Not enough data
Not enough data
Agentic AI - Workflow Management
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
Accounts Payable (AP) and Spend AnalysisHide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Data Management
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
Agentic AI - Accounts Payable (AP) and Spend Analysis
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Recovery
Not enough data
Not enough data
Not enough data
Not enough data
AP Data Processing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation Building
Not enough data
8.7
5
Not enough data
9.7
5
Not enough data
9.2
6
Not enough data
9.4
6
Not enough data
9.0
5
Not enough data
9.0
5
Bot Management & Execution
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
9.2
6
Intelligent Automation
Not enough data
8.9
6
Not enough data
8.7
5
Not enough data
8.7
5
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
Channels
Not enough data
8.0
11
Not enough data
7.8
9
Not enough data
8.7
9
Design
Not enough data
8.5
9
Not enough data
8.5
8
Not enough data
8.3
8
Not enough data
8.3
9
Not enough data
8.5
10
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Request Management
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 Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Digital Workflows
Not enough data
9.1
13
Not enough data
8.6
12
Not enough data
9.1
13
Forms
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
8.2
10
Automation
Not enough data
9.5
10
Not enough data
9.3
10
Not enough data
9.0
10
Not enough data
9.0
8
Agentic AI - Digital Process Automation (DPA)
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
Contract Creation & Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Other Platform Features
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
Contract 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
Agentic AI - Contract Lifecycle Management (CLM)
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
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Metrics
Not enough data
Not enough data
Not enough data
Not enough data
Visualizations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scenario Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Process Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Process Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
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
Not enough data
Not enough data
Not enough data
Not enough data
Process Management
Not enough data
8.9
46
Not enough data
8.6
42
Not enough data
8.9
44
Not enough data
8.1
35
Not enough data
8.5
41
Not enough data
8.1
40
Not enough data
8.9
40
Customization
Not enough data
8.7
46
Not enough data
8.9
47
Not enough data
8.9
45
Not enough data
8.1
37
Not enough data
7.9
38
Collaboration
Not enough data
8.0
41
Not enough data
8.3
41
Not enough data
8.8
48
Not enough data
9.1
45
Agentic AI - Business Process Management
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
Process Development
Not enough data
8.8
42
Agentic AI - Enterprise Content Management (ECM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
File Management
Not enough data
9.1
22
Not enough data
9.6
23
Not enough data
8.5
16
Not enough data
9.1
18
Not enough data
9.0
16
Not enough data
9.0
19
Not enough data
9.0
19
Not enough data
8.6
17
Not enough data
8.7
15
Not enough data
9.3
23
Not enough data
9.0
21
Not enough data
8.7
9
Workflow
Not enough data
9.5
19
Not enough data
9.3
19
Not enough data
9.3
20
Not enough data
9.2
22
Not enough data
9.3
16
Platform
Not enough data
9.2
12
Not enough data
9.3
21
Not enough data
8.9
19
Not enough data
9.2
17
Not enough data
9.3
20
Agentic AI - Vendor Management
Not enough data
Not enough data
Revenue Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Application Design
Not enough data
9.2
6
Not enough data
8.9
6
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
8.9
9
Data Control
Not enough data
9.7
6
Not enough data
9.5
7
Not enough data
9.8
7
Publishing
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.5
7
Agentic AI - Low-Code Development Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Process Automation Manager Open Edition and NewgenONE Digital Transformation Platform are categorized as Digital Process Automation (DPA)
Unique Categories
IBM Process Automation Manager Open Edition has no unique categories
NewgenONE Digital Transformation Platform is categorized as Contract Lifecycle Management (CLM), Public Records Management, Customer Communications Management, Accounts Payable (AP) and Spend Analysis, Workflow Management, Document Scanning, Process Mining, Robotic Process Automation (RPA), Low-Code Development Platforms, Enterprise Content Management (ECM), Business Process Management, Vendor Management, and Business Process Simulation
Reviews
Reviewers' Company Size
IBM Process Automation Manager Open Edition
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
NewgenONE Digital Transformation Platform
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
31.3%
Computer Software
18.8%
Telecommunications
6.3%
Information Services
6.3%
Health, Wellness and Fitness
6.3%
Other
31.3%
Banking
37.1%
Financial Services
12.4%
Information Technology and Services
7.9%
Insurance
6.7%
Hospital & Health Care
3.4%
Other
32.6%
Discussions
IBM Process Automation Manager Open Edition has no discussions with answers
NewgenONE Digital Transformation Platform has no discussions with answers
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