Cubus Outperform EV Analytics vs Query Manager

Compare Cubus Outperform EV Analytics vs Query Manager based on verified reviews from real users in the Analytics and Business Intelligence Platforms market. Cubus Outperform EV Analytics has a rating of 5 stars with 1 reviews while Query Manager has a rating of 5 stars with 1 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.
Cubus Outperform EV Analytics

by Serviceware (cubus)

Query Manager

by EPI-USE Labs

Overall Peer Rating
5
(1 review)
5
(1 review)
Ratings Distribution
 
 
 
 
 
 
 
 
 
 
Willingness to recommend
100% Yes
Would Recommend
100% Yes
Would Recommend

Product Capabilities

Overall Capability Score
Overall Capability Score
 
 
 
 
 
5
Overall Capability Score
 
 
 
 
 
5
Collaboration & Social BI
Collaboration & Social BI
 
Collaboration & Social BI
 
Mobile Exploration and Authoring
Mobile Exploration and Authoring
 
 
 
 
 
2
Mobile Exploration and Authoring
 
Interactive Visual Exploration
Interactive Visual Exploration
 
Interactive Visual Exploration
 
Analytics Dashboards
Analytics Dashboards
 
 
 
 
 
3
Analytics Dashboards
 
Self-Contained Extraction, Transformation & Loading (ETL) & Data Storage
Self-Contained Extraction, Transformation & Loading (ETL) & Data Storage
 
Self-Contained Extraction, Transformation & Loading (ETL) & Data Storage
 
Ease of use to deploy and administer
Ease of use to deploy and administer
 
 
 
 
 
5
Ease of use to deploy and administer
 
Ease of use for content authors
Ease of use for content authors
 
 
 
 
 
5
Ease of use for content authors
 
Ease of use for content consumers
Ease of use for content consumers
 
 
 
 
 
5
Ease of use for content consumers
 
Publishing Analytic Content
Publishing Analytic Content
 
 
 
 
 
3
Publishing Analytic Content
 
Embedding Analytic Content
Embedding Analytic Content
 
 
 
 
 
4
Embedding Analytic Content
 
Embedded Advanced Analytics
Embedded Advanced Analytics
 
Embedded Advanced Analytics
 
Self-Service Data Preparation
Self-Service Data Preparation
 
Self-Service Data Preparation
 
Governance and Metadata Management
Governance and Metadata Management
 
Governance and Metadata Management
 
Data Source Connectivity
Data Source Connectivity
 
 
 
 
 
3
Data Source Connectivity
 
Security and Use Administration
Security and Use Administration
 
 
 
 
 
4
Security and Use Administration
 
Cloud BI
Cloud BI
 
Cloud BI
 
BI Platform Administration
BI Platform Administration
 
BI Platform Administration
 

Customer Experience

Evaluation & Contracting
Evaluation & Contracting
 
 
 
 
 
4
Evaluation & Contracting
 
 
 
 
 
5
Pricing Flexibility
Pricing Flexibility
 
 
 
 
 
5
Pricing Flexibility
 
Ability to Understand Needs
Ability to Understand Needs
 
 
 
 
 
4
Ability to Understand Needs
 
Integration & Deployment
Integration & Deployment
 
 
 
 
 
5
Integration & Deployment
 
 
 
 
 
5
Ease of Deployment
Ease of Deployment
 
 
 
 
 
4
Ease of Deployment
 
Quality of End-User Training
Quality of End-User Training
 
 
 
 
 
5
Quality of End-User Training
 
Ease of Integration using Standard APIs and Tools
Ease of Integration using Standard APIs and Tools
 
 
 
 
 
4
Ease of Integration using Standard APIs and Tools
 
Availability of 3rd-Party Resources
Availability of 3rd-Party Resources
 
Availability of 3rd-Party Resources
 
Service & Support
Service & Support
 
 
 
 
 
5
Service & Support
 
 
 
 
 
5
Timeliness of Vendor Response
Timeliness of Vendor Response
 
 
 
 
 
5
Timeliness of Vendor Response
 
Quality of Technical Support
Quality of Technical Support
 
 
 
 
 
5
Quality of Technical Support
 
Quality of Peer User Community
Quality of Peer User Community
 
 
 
 
 
3
Quality of Peer User Community
 

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.