Our experience by using Tableau Server
Updated December 27, 2016

Our experience by using Tableau Server

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

Overall Satisfaction with Tableau Server

[It is being used] by our purchase department for analyzing major material price. The visualization capability performs well for big data and BI areas. We also use other enterprise BI solutions, but only Tableau Desktop and Server can support our visualization needs. We use Tableau Server to show highly complex and large analyzed data for several purchase staff [members] and executives.

Pros

  • Easy to use
  • Mobile device support
  • Good investment return

Cons

  • Lacks some functions in enterprise BI like robust scheduling reporting.
  • Cannot build data source when you use a browser to create a new report.
  • Monitoring capabilities are not comprehensive.
  • For our big data project, we think it returned our investment
  • We also consider[ed] using it for our next-generation dashboard solution
  • We don't think about it's good solution for an enterprise reporting system
Because our big data project team wants to show highly customized visualization for their complex data and analyzed results, only Tableau Desktop can support this target. After we developed many, many dashboards and other views, we wanted to share it with different users. We tried to deploy these design to Tableau Server and got good results. So, we chose it for our presentation layer server.
I strongly recommend using it on big data analyzing scenarios. It's not a reporting system. If you want enterprise BI, please don't consider it. It is very suitable for self-service power users. And, IT staff won’t waste much effort implementing and managing it. The cost of Tableau Server is ok.

Tableau Server Feature Ratings

BI Platform ()
Not Rated
Supported Data Sources ()
Not Rated
7.7
Pixel Perfect reports
10
Customizable dashboards
8
Report Formatting Templates
5
7.0
Drill-down analysis
7
Formatting capabilities
8
Integration with R or other statistical packages
7
Report sharing and collaboration
6
7.5
Publish to Web
9
Publish to PDF
8
Report Versioning
7
Report Delivery Scheduling
6
8.3
Pre-built visualization formats (heatmaps, scatter plots etc.)
9
Location Analytics / Geographic Visualization
9
Predictive Analytics
7
8.0
Multi-User Support (named login)
9
Role-Based Security Model
8
Multiple Access Permission Levels (Create, Read, Delete)
7
8.7
Responsive Design for Web Access
9
Mobile Application
9
Dashboard / Report / Visualization Interactivity on Mobile
8
Application Program Interfaces (APIs) / Embedding ()
Not Rated

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