Google (Looker) vs Microsoft

Compare Google (Looker) vs Microsoft based on verified reviews from real users in the Analytics and Business Intelligence Platforms market. Google (Looker) has a rating of 4.43 stars with 345 reviews while Microsoft has a rating of 4.38 stars with 2676 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.
Google (Looker)
Microsoft
Overall Peer Rating
4.43
(345 reviews)
4.38
(2676 reviews)
Ratings Distribution
 
 
 
 
 
 
 
 
 
 
Willingness to recommend
84% Yes
Would Recommend
80% Yes
Would Recommend

Product Capabilities

Overall Capability Score
Overall Capability Score
 
 
 
 
 
4.43

Visualizing and analyzing data from almost all of our data sources in one place powers our strategic decisions.

Overall Capability Score
 
 
 
 
 
4.41

It helps to create magnificent visual dashboards and help to show various analytics results which can help an organization to make decisions

Customer Experience

Evaluation & Contracting
Evaluation & Contracting
 
 
 
 
 
4.47

Looker was an excellent partner throughout that process and since as we've deployed and begun building products on our new system.

Evaluation & Contracting
 
 
 
 
 
4.29

Power BI filled the need for a fully featured BI platform that would allow end users to model their data based on business needs and rapidly turn this information into insights enabling senior management strategic decisions.

Pricing Flexibility
Pricing Flexibility
 
 
 
 
 
4.33
Pricing Flexibility
 
 
 
 
 
4.14
Ability to Understand Needs
Ability to Understand Needs
 
 
 
 
 
4.46
Ability to Understand Needs
 
 
 
 
 
4.3
Integration & Deployment
Integration & Deployment
 
 
 
 
 
4.45

We can make updates/changes and release new content to each of these customers all at once, in a matter of minutes.

Integration & Deployment
 
 
 
 
 
4.36

Our way to analyze data has completely changed, with the creation of dynamic dashboards and easy connection to data in whatever environment they are (on-premises or in the cloud).

Ease of Deployment
Ease of Deployment
 
 
 
 
 
4.46
Ease of Deployment
 
 
 
 
 
4.39
Quality of End-User Training
Quality of End-User Training
 
 
 
 
 
4.34
Quality of End-User Training
 
 
 
 
 
4.21
Ease of Integration using Standard APIs and Tools
Ease of Integration using Standard APIs and Tools
 
 
 
 
 
4.34
Ease of Integration using Standard APIs and Tools
 
 
 
 
 
4.24
Availability of 3rd-Party Resources
Availability of 3rd-Party Resources
 
 
 
 
 
4.26
Availability of 3rd-Party Resources
 
 
 
 
 
4.16
Service & Support
Service & Support
 
 
 
 
 
4.64

The customer service and support from Looker is by-far the best in the industry. Their team is knowledgable and always available to help, almost 24/7.

Service & Support
 
 
 
 
 
4.27

The product community is huge and it´s very easy to get more information about it when it´s needed.

Timeliness of Vendor Response
Timeliness of Vendor Response
 
 
 
 
 
4.67
Timeliness of Vendor Response
 
 
 
 
 
4.19
Quality of Technical Support
Quality of Technical Support
 
 
 
 
 
4.58
Quality of Technical Support
 
 
 
 
 
4.23
Quality of Peer User Community
Quality of Peer User Community
 
 
 
 
 
4.37
Quality of Peer User Community
 
 
 
 
 
4.38

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.