Tableau Server vs. Yellowfin

Tableau Server is well suited for a data warehouse build and handling big data. Tableau data aggregation, transformation, clustering capability is powerful and easy to implement. The choice of charts and visualisation tools is outstanding. Customisation and dynamic data visualisation capability is superb. The user interface takes some time getting used to.

Incentivized

We can recommend this software without hesitation, as it has the ability to generate reports and data analysis, as well as process the data automatically, which saves time. It is ideal for small and medium-sized companies that wish to improve their services in the business world

Incentivized

• It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
• Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
• Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server

Incentivized

• The Yellowfin user interface fits seamlessly into our own web software as it too is designed in the latest web technologies making it easy to use and easily accessible to our client base.
• The Yellowfin user interface is intuitive and easy to use, elevating VSV clients from needing in-depth training on the product before true value can be realised.
• The Yellowfin architecture supports the Pintl architecture 100% due to a similar design strategy and as such no real overhead is added to the Pintl system for the addition of the Yellowfin product nor does it add any additional IT overhead to be used.
• The Yellowfin product is quick and simple to develop reports and dashboards in cutting turn-around-time at the VSV development team and when new/custom reports are required by VSV clients.

• While it took little time for our data analysts to crank out visualizations, it did take some time(longer than I expected) for our technology operations team to configure the server to share the sizes.
• The server update process is rather cumbersome -- requires a full uninstall/re-install.
• Again, while it took our data analysts next to no time to start creating, I've been in other organizations that have struggled with the feature-rich interface and complexity of the Tableau client. So, it requires the right personnel, with dedicated time, to fully leverage the tool.

Incentivized

• The ability to predefine a colour for a specific graph as a selection option dynamically.
• The ability to customise the label of a chart, especially with respect to performance related reporting graphs we need an increase in dynamic charting options to meet our more specialised requirements.

It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.

Incentivized

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.

Yellowfin has large promises that did not meet our expectations after we got it installed. We tried to configure it but things did not go as planned. After 1 year of trying - we still cannot get it working. Be very careful when signing up with them - everything is not what it seems.

Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues

99.9% availability

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.

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.

Anytime I needed a report, I ran into issues with this software. We used Yellowfin for a period of months, having switched from Salesforce. I found the reports were difficult to produce, and the data management was okay at best.

Incentivized

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.

Yellowfin provides 3 levels of training to support consumers, business analytics, developers and Administrations :

1. Yellowfin BI Training - Level 1 (Exploration)
2. Yellowfin BI Training - Level 2 (Advanced)
3. Yellowfin BI Training - Level 3(Expert)

The sales consultants do an amazing job of introducing the tool and its capabilities. They are also helpful in explaining the layout of the desktop client and its different functionality. Keep in mind that they use a sample data source (MS Excel) with a very small amount of data to show off what it can do. What you have to remember is that you are buying the tool so that you can connect to large amounts of data (and possibly blend data together from different databases).

Web-based training for large audiences for Level 1 and Level 2 I would suggest

Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either

Design the data model and views for each dashboard is very important and it is the success factor Configuration of cluster for large implementation

Looker and Tableau are quite similar products. I think Tableau's ability to view data visually is more comprehensive. The different breakdowns in UTM level versus first touch and last touch are shown in a visual format, making it much easier to view and interpret the results. Tableau also has faster load times compared to Looker for larger datasets.

Incentivized

Yellowfin is no doubt, a stronger, more eloquent and polished tool compared to Microsoft's Power BI. The issue with our company specifically is that we are a big Microsoft shop, and pay for Power BI more or less in our bundle esp w/ O365. While the Yellowfin tool is a more sleek tool, the cost to our company is something that we have to weight against a negligible cost with Power BI.

Incentivized

- Tested 500 con-current users in Linux platform with 4 cores systems - Tested with cloud based VM - Tested with 1000 reads per minutes

• Tableau Server has had a huge positive impact. It has allowed us to quickly distribute complex dashboards across the company
• Tableau Server has allowed us to easily manage our entire employee base at the company and control the dashboards they view and interact with

Incentivized

• made our org more data centric
• Decisions are made based on data vs opinion
• has created a single source of truth for the bulk of the organization

Incentivized