What users are saying about
102 Ratings

Tableau Server

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102 Ratings
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Score 8.5 out of 101

Tableau Server

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Top Rated
600 Ratings
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Score 8.2 out of 101

Add comparison

Likelihood to Recommend

Apache Spark

The software appears to run more efficiently than other big data tools, such as Hadoop. Given that, Apache Spark is well-suited for querying and trying to make sense of very, very large data sets. The software offers many advanced machine learning and econometrics tools, although these tools are used only partially because very large data sets require too much time when the data sets get too large. The software is not well-suited for projects that are not big data in size. The graphics and analytical output are subpar compared to other tools.
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Tableau Server

Tableau Server should be considered in organizations where you have several consumers of data and fewer creators. The licensing of the server will make you save and allow you to have some governance over your dashboards.In an environment where you have a lot of creators, the use of a server might not bring a lot of benefits, because creators using the desktop version can open and modify other people's dashboards.
Mathieu Gaouette profile photo

Feature Rating Comparison

BI Standard Reporting

Apache Spark
Tableau Server
8.3
Pixel Perfect reports
Apache Spark
Tableau Server
8.0
Customizable dashboards
Apache Spark
Tableau Server
8.8
Report Formatting Templates
Apache Spark
Tableau Server
8.0

Ad-hoc Reporting

Apache Spark
Tableau Server
8.2
Drill-down analysis
Apache Spark
Tableau Server
8.1
Formatting capabilities
Apache Spark
Tableau Server
8.2
Integration with R or other statistical packages
Apache Spark
Tableau Server
8.0
Report sharing and collaboration
Apache Spark
Tableau Server
8.4

Report Output and Scheduling

Apache Spark
Tableau Server
8.2
Publish to Web
Apache Spark
Tableau Server
9.1
Publish to PDF
Apache Spark
Tableau Server
8.1
Report Versioning
Apache Spark
Tableau Server
7.9
Report Delivery Scheduling
Apache Spark
Tableau Server
8.7
Delivery to Remote Servers
Apache Spark
Tableau Server
6.9

Data Discovery and Visualization

Apache Spark
Tableau Server
8.1
Pre-built visualization formats (heatmaps, scatter plots etc.)
Apache Spark
Tableau Server
8.5
Location Analytics / Geographic Visualization
Apache Spark
Tableau Server
8.6
Predictive Analytics
Apache Spark
Tableau Server
7.1

Access Control and Security

Apache Spark
Tableau Server
8.3
Multi-User Support (named login)
Apache Spark
Tableau Server
8.2
Role-Based Security Model
Apache Spark
Tableau Server
8.1
Multiple Access Permission Levels (Create, Read, Delete)
Apache Spark
Tableau Server
8.4
Single Sign-On (SSO)
Apache Spark
Tableau Server
8.6

Mobile Capabilities

Apache Spark
Tableau Server
7.9
Responsive Design for Web Access
Apache Spark
Tableau Server
7.8
Dedicated iOS Application
Apache Spark
Tableau Server
7.9
Dedicated Android Application
Apache Spark
Tableau Server
7.7
Dashboard / Report / Visualization Interactivity on Mobile
Apache Spark
Tableau Server
8.0

Application Program Interfaces (APIs) / Embedding

Apache Spark
Tableau Server
7.4
REST API
Apache Spark
Tableau Server
8.3
Javascript API
Apache Spark
Tableau Server
8.1
iFrames
Apache Spark
Tableau Server
7.8
Java API
Apache Spark
Tableau Server
7.2
Themeable User Interface (UI)
Apache Spark
Tableau Server
6.9
Customizable Platform (Open Source)
Apache Spark
Tableau Server
6.5

Pros

  • Machine Learning.
  • Data Analysis
  • WorkFlow process (faster than MapReduce).
  • SQL connector to multiple data sources
Anson Abraham profile photo
  • Tableau Server is compatible and flexible in terms of data connection and usage.
  • Tableau Server has the option of configuring on-site or cloud, which is excellent.
  • Tableau Server is economical and easily adaptive in nature.
Sachin Basappa profile photo

Cons

  • Memory management. Very weak on that.
  • PySpark not as robust as scala with spark.
  • spark master HA is needed. Not as HA as it should be.
  • Locality should not be a necessity, but does help improvement. But would prefer no locality
Anson Abraham profile photo
  • Tableau Server could be made more flexible in terms of data connection and ease of use in terms of documenting.
  • In Tableau Server, the workbook folder itself should be made available with share options to web embed.
  • Groups should be enhanced with more test case scenarios so organizations can easily follow the protocols.
Sachin Basappa profile photo

Likelihood to Renew

No score
No answers yet
No answers on this topic
Tableau Server10.0
Based on 20 answers
Fairly easy to use and very powerful. Everyone who uses it loves it.
Torry Johnson profile photo

Usability

No score
No answers yet
No answers on this topic
Tableau Server9.0
Based on 11 answers
Great interface, allows for amazing flexibility in building visualizations. There are a few minor quirks that have to be learned though.
Torry Johnson profile photo

Reliability and Availability

No score
No answers yet
No answers on this topic
Tableau Server9.0
Based on 9 answers
Tableau Server is very stable. But Tableau desktop has crashed (or become unresponsive) on a few instances.
Mashhood Syed profile photo

Performance

No score
No answers yet
No answers on this topic
Tableau Server8.1
Based on 8 answers
Due to it's skillful use of in-memory processing and columnar data structures ensures optimal performance. However, with larger data sets, especially with LIVE connections to back-end DBMS platforms, performance degrades quickly. However, with minimal planning and Tableau data extracts, exceptional performance is achievable.
Dwight Taylor profile photo

Support

No score
No answers yet
No answers on this topic
Tableau Server9.1
Based on 12 answers
We've only reached out to Tableau once for support. It wasn't related to the operation of the software but some complex Data Visualization we wanted to develop. The same day Tableau engaged us and provided outstanding support and follow-up resources.
Dwight Taylor profile photo

In-Person Training

No score
No answers yet
No answers on this topic
Tableau Server8.0
Based on 4 answers
In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.
Mashhood Syed profile photo

Online Training

No score
No answers yet
No answers on this topic
Tableau Server9.0
Based on 9 answers
Tableau has excellent on-demand training material - web based and free....
Charles Hooper profile photo

Implementation

No score
No answers yet
No answers on this topic
Tableau Server9.1
Based on 13 answers
My department was largely Excel and paper-based when I started, so there's been a tremendous amount of work to get the data into shape, so when I look at the overall implementation of our visualization and reporting infrastructure, I'm less satisfied. Tableau has been wonderful, the one place that would get me to a 10 is if it was easier to tune workbook performance on Tableau Server, there are a huge number of variables to deal with across the workbook/application/hardware stack. In a small environment like ours that takes more effort than I'd like.
Jonathan Drummey profile photo

Alternatives Considered

Spark in comparison to similar technologies ends up being a one stop shop. You can achieve so much with this one framework instead of having to stitch and weave multiple technologies from the Hadoop stack, all while getting incredibility performance, minimal boilerplate, and getting the ability to write your application in the language of your choosing.
No photo available
Cognos was outdated and much harder to use and implement.

Qlik was more expensive and a little harder to manage your data.
Bob Ladd profile photo

Return on Investment

  • Faster turn around on feature development, we have seen a noticeable improvement in our agile development since using Spark.
  • Easy adoption, having multiple departments use the same underlying technology even if the use cases are very different allows for more commonality amongst applications which definitely makes the operations team happy.
  • Performance, we have been able to make some applications run over 20x faster since switching to Spark. This has saved us time, headaches, and operating costs.
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  • We recently reduced our licensing due to scaling down the company and Tableau had a reasonable process to accommodate us.
  • The most recent version we use (10.4) has been much more reliable - looking forward to the 2018 version that we will implement next month.
  • Many times changes in version cause our analysts headaches by changing small things we don't always catch at first and we don't have the means to run a test environment for all of them.
Eli Massey profile photo

Pricing Details

Apache Spark

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

Apache Spark More Information

Tableau Server

General
Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
No
Additional Pricing Details

Tableau Server More Information