ADONIS vs SAP Signavio Process Manager

Compare ADONIS vs SAP Signavio Process Manager based on verified reviews from real users in the Enterprise Business Process Analysis market. ADONIS has a rating of 4.76 stars with 121 reviews while SAP Signavio Process Manager has a rating of 4.57 stars with 115 reviews. See side-by-side comparisons of product capabilities, customer experience, pros and cons, and reviewer demographics to find the best fit for your organization.
ADONIS

by BOC Group

Overall Peer Rating
4.76
(121 reviews)
4.57
(115 reviews)
Ratings Distribution
 
 
 
 
 
 
 
 
 
 
Willingness to recommend
96% Yes
Would Recommend
90% Yes
Would Recommend

Product Capabilities

Overall Capability Score
Overall Capability Score
 
 
 
 
 
4.67
Overall Capability Score
 
 
 
 
 
4.49
Ontology
Ontology
 
 
 
 
 
4.54
Ontology
 
 
 
 
 
4.42
Support for iterative methods
Support for iterative methods
 
 
 
 
 
4.65
Support for iterative methods
 
 
 
 
 
4.55
Collaboration and communication
Collaboration and communication
 
 
 
 
 
4.55
Collaboration and communication
 
 
 
 
 
4.73
Support for distributed teams
Support for distributed teams
 
 
 
 
 
4.69
Support for distributed teams
 
 
 
 
 
4.65
Strategic and operational decision support
Strategic and operational decision support
 
 
 
 
 
4.55
Strategic and operational decision support
 
 
 
 
 
4.32
Support for the ability of using multiple channels
Support for the ability of using multiple channels
 
 
 
 
 
4.55
Support for the ability of using multiple channels
 
 
 
 
 
4.24
Discovery and harvesting of process and business knowledge assets
Discovery and harvesting of process and business knowledge assets
 
 
 
 
 
4.57
Discovery and harvesting of process and business knowledge assets
 
 
 
 
 
4.52
Align with Enterprise Architecture viewpoints
Align with Enterprise Architecture viewpoints
 
 
 
 
 
4.57
Align with Enterprise Architecture viewpoints
 
 
 
 
 
4.34
Access to project and program data
Access to project and program data
 
 
 
 
 
4.44
Access to project and program data
 
 
 
 
 
4.23

Customer Experience

Evaluation & Contracting
Evaluation & Contracting
 
 
 
 
 
4.63
Evaluation & Contracting
 
 
 
 
 
4.49
Pricing Flexibility
Pricing Flexibility
 
 
 
 
 
4.56
Pricing Flexibility
 
 
 
 
 
4.13
Ability to Understand Needs
Ability to Understand Needs
 
 
 
 
 
4.76
Ability to Understand Needs
 
 
 
 
 
4.55
Integration & Deployment
Integration & Deployment
 
 
 
 
 
4.65
Integration & Deployment
 
 
 
 
 
4.62
Ease of Deployment
Ease of Deployment
 
 
 
 
 
4.66
Ease of Deployment
 
 
 
 
 
4.75
Quality of End-User Training
Quality of End-User Training
 
 
 
 
 
4.63
Quality of End-User Training
 
 
 
 
 
4.4
Ease of Integration using Standard APIs and Tools
Ease of Integration using Standard APIs and Tools
 
 
 
 
 
4.41
Ease of Integration using Standard APIs and Tools
 
 
 
 
 
4.22
Availability of 3rd-Party Resources
Availability of 3rd-Party Resources
 
 
 
 
 
4.36
Availability of 3rd-Party Resources
 
 
 
 
 
4.24
Service & Support
Service & Support
 
 
 
 
 
4.72
Service & Support
 
 
 
 
 
4.68
Timeliness of Vendor Response
Timeliness of Vendor Response
 
 
 
 
 
4.7
Timeliness of Vendor Response
 
 
 
 
 
4.69
Quality of Technical Support
Quality of Technical Support
 
 
 
 
 
4.65
Quality of Technical Support
 
 
 
 
 
4.68
Quality of Peer User Community
Quality of Peer User Community
 
 
 
 
 
4.55
Quality of Peer User Community
 
 
 
 
 
4.42

Product Review Excerpts

Favorable Review Excerpts
Critical Review Excerpts

Reviewer Demographics

Reviewer Demographics by Company Size
Reviewer Demographics by Industry

Reviewer Considerations

Other Vendors Considered by Reviewers

"Willingness to Recommend" is calculated based on the responses to the question "Would you recommend this product to others?" The options include "yes," "yes, with reservations," "I do not know" and "no." The percentage is calculated as number of "yes" responses divided by total responses for the question.

"Favorable" and "Critical" user reviews are selected using the review helpfulness score. The helpfulness score predicts the relative value a user receives from a given review based on a number of factors. Factors may include the content in the review, feedback provided by other readers, the age of the review, and other factors that indicate review quality. The favorable review displayed is selected from the most helpful 4 or 5 star review. The critical user review displayed is selected from the most helpful 1,2 or 3 star review.