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Look No Further
December 20, 2017

Look No Further

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Looker

We use Looker to build dashboards to serve each area of the business: clinical, financial, marketing, and supply chain.
  • The granular permissions sets allow a large amount of control over what users can see and do.
  • Views, models, and (optionally) dashboards are version-controlled and stored in a git repo of your choosing. This is indispensable for having peace of mind when performing large refactors.
  • Incredible customer support offered conveniently via live chat within the app. Feature requests are always taken seriously and you can check back anytime to see where it is in the queue.
  • Option to implement custom D3 visualizations.
  • There could be more stock visualizations.
  • The delineation between user-defined dashboards and LookML-defined dashboards is confusing and disjointed.
Sisense aims to do too many things, such as ETL, at the cost of not excelling at any one thing. Looker excels by keeping the focus on data exploration and doing it extremely well.
Looker integrates with an expansive list of databases, from a traditional open-source RDBMS, such as Postgres or MySQL, to elastic hosted database, such as Snowflake. It does not provide ETL features.
Sharing is as simple as sending a URL to a Look or dashboard to another user. PDF dashboard delivery via email can be scheduled to any email address (non-users included).
Looker is best for environments in which users are empowered to perform some of their own exploration and analysis. Although it is an excellent dashboard tool in its own right, its potential isn’t realized until data models specific to each line of business are created and users understand how to explore their own data.

Looker Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
8.0
Pixel Perfect reports
7
Customizable dashboards
9
9.5
Drill-down analysis
10
Formatting capabilities
8
Integration with R or other statistical packages
10
Report sharing and collaboration
10
9.0
Publish to Web
10
Publish to PDF
6
Report Versioning
10
Report Delivery Scheduling
10
8.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
8
10.0
Multi-User Support (named login)
10
Role-Based Security Model
10
Multiple Access Permission Levels (Create, Read, Delete)
10
8.5
Responsive Design for Web Access
8
Dashboard / Report / Visualization Interactivity on Mobile
9
Application Program Interfaces (APIs) / Embedding ()
Not Rated