Akeneo vs Informatica

Compare Akeneo vs Informatica based on verified reviews from real users in the Master Data Management PDS market. Akeneo has a rating of 4.4 stars with 5 reviews while Informatica has a rating of 3.97 stars with 12 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.
Akeneo
Informatica
Overall Peer Rating
4.4
(5 reviews)
3.97
(12 reviews)
Ratings Distribution
 
 
 
 
 
 
 
 
 
 
Willingness to recommend
80% Yes
Would Recommend
42% Yes
Would Recommend

Product Capabilities

Overall Capability Score
Overall Capability Score
 
 
 
 
 
4.2
Overall Capability Score
 
 
 
 
 
3.42
Data Modeling
Data Modeling
 
 
 
 
 
3.67
Data Modeling
 
 
 
 
 
4
Information Quality / Semantics
Information Quality / Semantics
 
 
 
 
 
4
Information Quality / Semantics
 
 
 
 
 
3.7
Load / Synch / Business Services / Integration
Load / Synch / Business Services / Integration
 
 
 
 
 
4
Load / Synch / Business Services / Integration
 
 
 
 
 
3.55
Workflow / BPM
Workflow / BPM
 
 
 
 
 
4.5
Workflow / BPM
 
 
 
 
 
3.73
Perform / Scaling / Avail / Security
Perform / Scaling / Avail / Security
 
 
 
 
 
4
Perform / Scaling / Avail / Security
 
 
 
 
 
3.64
Stewardship Support
Stewardship Support
 
Stewardship Support
 
 
 
 
 
3.33
Information Governance Support
Information Governance Support
 
 
 
 
 
3.67
Information Governance Support
 
 
 
 
 
3.09
Product Stability
Product Stability
 
 
 
 
 
4.33
Product Stability
 
 
 
 
 
3.27

Customer Experience

Evaluation & Contracting
Evaluation & Contracting
 
 
 
 
 
4
Evaluation & Contracting
 
 
 
 
 
3.58
Pricing Flexibility
Pricing Flexibility
 
 
 
 
 
4.25
Pricing Flexibility
 
 
 
 
 
3.36
Ability to Understand Needs
Ability to Understand Needs
 
 
 
 
 
4
Ability to Understand Needs
 
 
 
 
 
3.58
Integration & Deployment
Integration & Deployment
 
 
 
 
 
4.2
Integration & Deployment
 
 
 
 
 
3.58
Ease of Deployment
Ease of Deployment
 
 
 
 
 
4.2
Ease of Deployment
 
 
 
 
 
3.33
Quality of End-User Training
Quality of End-User Training
 
 
 
 
 
4
Quality of End-User Training
 
 
 
 
 
3.64
Ease of Integration using Standard APIs and Tools
Ease of Integration using Standard APIs and Tools
 
 
 
 
 
4.75
Ease of Integration using Standard APIs and Tools
 
 
 
 
 
3.27
Availability of 3rd-Party Resources
Availability of 3rd-Party Resources
 
 
 
 
 
4.33
Availability of 3rd-Party Resources
 
 
 
 
 
3.55
Service & Support
Service & Support
 
 
 
 
 
4.2
Service & Support
 
 
 
 
 
3.5
Timeliness of Vendor Response
Timeliness of Vendor Response
 
 
 
 
 
4.25
Timeliness of Vendor Response
 
 
 
 
 
3.73
Quality of Technical Support
Quality of Technical Support
 
 
 
 
 
4.25
Quality of Technical Support
 
 
 
 
 
3.73
Quality of Peer User Community
Quality of Peer User Community
 
 
 
 
 
4.25
Quality of Peer User Community
 
 
 
 
 
3.4

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.