Item: Looker
Rating: 9
Author: Kenneth Berland

Use Cases and Deployment Scope

Looker is used across our organization for business analysis. We also use Looker as a platform for customer-facing metrics.

Pros and Cons

Seamless integration with Amazon's Redshift.
Visualization without additional software development.
Painless user management and information segmentation.

Separation of development and production data and source code. However, great strides have been made here.

Alternatives Considered

Birst,Tableau,Good Data,BIME

Birst: very opaque for teams accustomed to DevOps (i.e., programmable infrastructure)
Tableau: no cloud strategy. Does not scale horizontally
GoodData: flexible, but cumbersome. Requires Java
BIME: less flexible, inferior charting

Data Integration

Looker supported the key cloud-based connection types we required: Redshift, MySQL, and PostgreSQL.

Well suited for teams that wish to focus on software development and not BI development. Looker has the cloud architecture that we believe all next-gen BI platforms must have. We chose them because they seemed to have the right thesis and the ability to deliver continuous improvements. We've not been disappointed.

Looker: True Cloud-Based BI

Software Version

Overall Satisfaction with Looker

Use Cases and Deployment Scope

Pros and Cons

Alternatives Considered

Data Integration

Collaboration and Sharing

Likelihood to Recommend

Looker Feature Ratings