What users are saying about
112 Ratings
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Top Rated
664 Ratings
112 Ratings
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Score 8.4 out of 101

Tableau Server

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664 Ratings
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Score 8.1 out of 101

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.
Thomas Young profile photo

Tableau Server

Tableau Server is extremely well suited for a company with a few dedicated analysts creating dashboards and reports for a few stakeholders. It is also great at handling a large amount of report viewers, but it is more expensive because you have to pay for each user.
Jacob Rasmussen profile photo

Feature Rating Comparison

BI Standard Reporting

Apache Spark
Tableau Server
8.2
Pixel Perfect reports
Apache Spark
Tableau Server
8.4
Customizable dashboards
Apache Spark
Tableau Server
8.6
Report Formatting Templates
Apache Spark
Tableau Server
7.5

Ad-hoc Reporting

Apache Spark
Tableau Server
8.0
Drill-down analysis
Apache Spark
Tableau Server
8.0
Formatting capabilities
Apache Spark
Tableau Server
8.1
Integration with R or other statistical packages
Apache Spark
Tableau Server
7.5
Report sharing and collaboration
Apache Spark
Tableau Server
8.3

Report Output and Scheduling

Apache Spark
Tableau Server
7.7
Publish to Web
Apache Spark
Tableau Server
8.8
Publish to PDF
Apache Spark
Tableau Server
7.8
Report Versioning
Apache Spark
Tableau Server
7.7
Report Delivery Scheduling
Apache Spark
Tableau Server
8.4
Delivery to Remote Servers
Apache Spark
Tableau Server
5.8

Data Discovery and Visualization

Apache Spark
Tableau Server
7.7
Pre-built visualization formats (heatmaps, scatter plots etc.)
Apache Spark
Tableau Server
8.2
Location Analytics / Geographic Visualization
Apache Spark
Tableau Server
8.2
Predictive Analytics
Apache Spark
Tableau Server
6.5

Access Control and Security

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

Mobile Capabilities

Apache Spark
Tableau Server
7.7
Responsive Design for Web Access
Apache Spark
Tableau Server
7.5
Dedicated iOS Application
Apache Spark
Tableau Server
7.8
Dedicated Android Application
Apache Spark
Tableau Server
7.7
Dashboard / Report / Visualization Interactivity on Mobile
Apache Spark
Tableau Server
7.8

Application Program Interfaces (APIs) / Embedding

Apache Spark
Tableau Server
6.8
REST API
Apache Spark
Tableau Server
7.9
Javascript API
Apache Spark
Tableau Server
7.7
iFrames
Apache Spark
Tableau Server
7.1
Java API
Apache Spark
Tableau Server
6.2
Themeable User Interface (UI)
Apache Spark
Tableau Server
6.4
Customizable Platform (Open Source)
Apache Spark
Tableau Server
5.4

Pros

Apache Spark

  • Rich APIs for data transformation making for very each to transform and prepare data in a distributed environment without worrying about memory issues
  • Faster in execution times compare to Hadoop and PIG Latin
  • Easy SQL interface to the same data set for people who are comfortable to explore data in a declarative manner
  • Interoperability between SQL and Scala / Python style of munging data
Nitin Pasumarthy profile photo

Tableau Server

  • Tableau server's portal and general look is really convenient and pretty. Users feel comfortable using it.
  • The learning curve of Tableau Server from an end-user perspective is really short. For the creator of content, it is a little more complex but easy to learn. Tableau has really succeeded in creating a user-friendly software.
  • From an administration point of view, Tableau is great. Installation and housekeeping are really easy and quick.
  • Visuals are really appealing and will help "sell" your presentations.
  • Tableau allows connectivity to a huge selection of data sources and data formats.
  • Online training for software is free and of very good quality.
Mathieu Gaouette profile photo

Cons

Apache Spark

  • 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

  • Tableau Server is sometimes referred to as simply Microsoft Excel with a power boost. I understand the reason analysts say this. It is because the software is almost exclusively a visualization software. If you're looking for truly advanced analytics combined with cutting-edge visualization, Tableau Server isn't it.
  • Tableau Server limits the type of graphs a user can create. There are numerous workarounds for different graph types, but they are not easy to implement.
  • Tableau Server can sometimes be slow to render graphics with lots of data and calculated fields.
Thomas Young profile photo

Likelihood to Renew

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 10.0
Based on 20 answers
We will continue our use of Tableau server due to the following factors:- Cost effectiveness. This persists from year-to-year. Tableau consistently gives us the best value for the cost- Reliability. Tableau server has been rock-solid for our users, particularly during emergencies.- Innovation. You can bet that Tableau will release stable new versions on a regular basis.We have often experienced the need for a function in Tableau that will be included in a future release.
Henry Yennie profile photo

Usability

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 9.0
Based on 11 answers
User experience is the most important factor to consider whenever considering capabilities for non-technical business users. If the learning curve is so steep business users must be advanced users to be productive, you hit the wall of diminishing returns, this is exceptionally true when it comes to analyzing data. Transforming data analysts into BI development experts shifts the focus of the analyst from analyzing data to mastering software. Tableau does a masterful job at minimizing the technology and maximizing the users understanding of their data.
Dwight Taylor profile photo

Reliability and Availability

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 9.0
Based on 9 answers
Over the past few years our company has expanded the use of Tableau. We've moved from 250 interactors to well over 1500 server interactions during that timeframe. During the expansion interactors we've yet to expereince any significant degradation of service
George McCarrolle profile photo

Performance

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 8.1
Based on 8 answers
While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.
Jonathan Drummey profile photo

Support

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 9.1
Based on 12 answers
I think the folks that work in support are generally pretty good at what they do (when you get them on a WebEx). But the process of reporting issues to them and waiting for a response (via email only) is a hassle. I never understood why you can't just call them up and discuss the issues with them. It would take a handful of email exchanges before they would agree to a WebEx session. That was frustrating.
Mashhood Syed profile photo

In-Person Training

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 8.0
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

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 9.0
Based on 9 answers
The Tableau website is full of videos that you can follow at your own pace. As a very small company with a Tableau install, access to these free resources was incredibly useful to allowing me to implement Tableau to its potential in a reasonable and proportionate manner.
Mel Stephenson profile photo

Implementation

Apache Spark

No score
No answers yet
No answers on this topic

Tableau Server

Tableau Server 9.1
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

Apache Spark

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

Tableau Server

There were a lot of reasons why we chose Tableau and the least is the cost but also the way Tableau stores data in the columnar fashion instead of in Cubes. We went through a painstaking selection process and at the end, came down to a couple of vendors and we ended up with the product that was least to pair up with Amazon Web Services to create a decent and cost-effective proof of concept and we landed with the solution we have today.
Siggy Tetteh, CSSGB, MBA, MCP profile photo

Return on Investment

Apache Spark

  • It has had a very positive impact, as it helps reduce the data processing time and thus helps us achieve our goals much faster.
  • Being easy to use, it allows us to adapt to the tool much faster than with others, which in turn allows us to access various data sources such as Hadoop, Apache Mesos, Kubernetes, independently or in the cloud. This makes it very useful.
  • It was very easy for me to use Apache Spark and learn it since I come from a background of Java and SQL, and it shares those basic principles and uses a very similar logic.
Carla Borges profile photo

Tableau Server

  • It has helped improve reporting capabilities from traditional to modern ways to view data.
  • It has helped in terms of using new maps and charts for devices availability and which is unique and insightful.
  • Interactive features attracted our client to look up business intelligence and other areas.
Sachin Basappa profile photo

Pricing Details

Apache Spark

General

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

Tableau Server

General

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

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