Tableau Server

Ask data is one of the new and good feature that is available in tableau server. 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 visualization tools is outstanding.

Tableau Server on Linux supports a subset of the data sources on Tableau Server on Windows. You need to confirm that the data sources used by your organization are supported on Linux, and install any drivers required. Tableau Server will start a session for the user and the user will see the visualization. Of course, the user does not see the HTTP requests going on behind the scenes, but simply loads a page in your application and sees embedded Tableau content without having to signin.

As a person responsible for administering their self-hosted product, I would never recommend this to a collogue. Fragile product + ineffective support = operations nightmare. It breaks frequently (upgrades, extracts, backups/restores, sometimes a service just stops during normal usage), and basic support (costing 5 figures/yr) with a 3 bizday follow-up SLA on downtime events is essentially useless for anything more than functionality questions (which take weeks to resolve). Stack restarts take over 15 minutes and are required for just about every configuration change. [I believe] the product was a poor fit for our use-case (add-on service for multitenant customer SAAS applications) for several reasons: - There's no supported method for changing datasource connections, which is a problem if you plan on publishing data sources from dev to prod environment without Tableau Desktop and manual effort. You'll have to make your own tooling to modify the XML directly (unsupported) - Trusted ticket implementation is secured via IP whitelist. If you want to use a modern SAAS product and not have to manage this IP whitelist (every change requires 15min restart), you'll have to write your own ticket-granting service over top of this API. - Security architecture offers poor segmentation between client databases. You can very easily provide customer A access to customer B's database. This danger is aggravated by the lack of a supported method for modifying data source connections in an automated fashion. - All users exist at a server level. This adds to the "poor segmentation between sites" argument, and also complicates things when you have 2 clients bound to different sites, trying to add the same username "jsmith". But hey, it's really pretty. Our product team bought it, infra team has paid for it since.

"What support?"
Support barely exists at the "standard" (5 figure) price point. The SLA's are terrible. They won't help you expediently in an outage scenario. Their approach to any server problem appears to be "ask them for logs until they solve the problem themselves". For functionality questions they're somewhat useful, but it'll take you a few rounds (over 2 weeks) to get the answer you need.

Prices for better support are around the same as a full-time professional.

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.

Tableau Server support is readily available and delivers a reasonably efficient service. The Tableau obline community is an invaluable resource as well. Because Tableau has become an industry standard tool, there is a wealth of publicly available online resources to build your knowledge base. Tableau's user guides and troubleshooting information are straightforward and easy to use.

Tableau [Server] is a user friendly tool and is applicable for any areas where KPI can Ben understood by just dragging and dropping the visualization objects.

The Support Team of Tableau [Server] is quite helpful

It is well suited where data is clearly arranged in a particular format and is less useful if the data is not in the format usable by tableau
The formulas are sometimes difficult to enter into tableau and that restricts some analysis to be performed.
Visualization within tableau is the best but the trend line graphs are not great

I have not used the support function of tableau a lot as I am not the administrator. Our data platforms team takes care of any internal requests for issues within tableau. Our organization as a whole uses tableau for creating different visualizations for management views and there have been no issues which have caused issues with the server

Tableau may be well suited to non-Microsoft shops. Its methodologies, internal management, and overall approach seem geared more toward Oracle/Java shops. It also does require a decent amount of care and feeding. Backups, upgrades, etc., tend to be cumbersome and require some level of IT knowledge, despite how the product is often sold. Smaller shops that wish to pursue Tableau may be better off leveraging their SaaS offerings.

We are a small organization, and it was a budget stretch to get Tableau Server in the first place but we took a chance. Our goal was sharing analytics data. Unfortunately, we found the product to be overly complicated. It was not easy to transfer data between Tableau Desktop and Server as advertised. That made sharing overly difficult, which was our primary goal. In the end, we chose not to renew the license and are pursuing other options for collaboration/sharing of analytics data.

Well suited for companies with multiple sites, not good for places with a small budget

When multiple people need to look at the same report (either with or without Tableau desktop). Allowing users to see data dynamically versus an Excel spreadsheet.

Tableau Server is great for gathering data from different sources and displaying that data through dashboards and reports that are easy to create and modify. It can be easily used on a mobile platform. However, Tableau Server can be expensive for a company, and may not be able to create all kinds of graphs, dashboards, and reports.

It doesn't have any particular scenarios...but If you are using Tableau Desktop and if you want to share your dashboard with other people in your organization, then you need to go for Tableau Server for sharing and collaboration. If you want to share your dashboard by using cloud-based functionality, then Tableau Online is sufficient. Tableau Server is not required.

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.

The scenario where you need Tableau Desktop is if you need to share the content of workbooks across a broad audience, and access it through an on-demand web interface. The alternative being downloading a workbook from some shared drive and opening it in Tableau Desktop. I suppose the latter could work in small team environments, but that would be very tedious for anything beyond a small project.

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.

Tableau Server is awesome for creating easy to understand visualizations for busy executives. An analyst can be up and running with some cool visualizations fairly quickly. But, if you're thinking of using Tableau Server for real machine learning, this is not the tool.

If you have to quickly explore a large volume of unknown big data (really large tables), then Tableau is a great choice.
It is a great tool for any ad-hoc analysis that has to deliver an interactive story to management (client), it will not only deliver nice visualizations, but will also allow for drill-downs to the primary data and proof for your audience that your numbers in the presented graph are correct

Document management and scheduling work very well. No complaints about the product.

Tableau is a fully agnostic tool for simply representing complex data. If thought is given to the design of the visualizations, they are very powerful and intuitive to use. We recently used Tableau to go deeper into our staffing. We looked at various demographic profiles of attendance centers to see which ones should receive more FTE. This would have taken much longer and been much less insightful without Tableau.

If you have sensitive data that you are wanting to share in a High Level Visual Analytics environment, Tableau Server is the way to go. Your executives will appreciate no longer wondering how their business is actually doing, but can in a lot of cases have real-time visual depictions on the health of their companies, or at least accurate as of the previous day (depending on your data ecosystem).

When you are using it to collaborate with other Tableau Servers, it is very useful. However, if you have data sets to be added from another sheet, it is not possible using Tableau Server. Tableau desktop version needs to be used to cope up with such a scenario. Thus we should have both Tableau Server as well as the desktop accounts.

The Tableau Server can be used based on different requirements and is very user-friendly.

It is well suited in an industry rich with data flow and more room for public information. The reason behind the public information use case is that can Tableau can be made visualize value, and in return adds value to proof of concepts or detailed plan. Tableau Server is economical, and many organizations look for such products, as it is no harm to test and try such an enterprise tool.

Tableau is great for aggregating data for reporting across many different systems. The perpetual licensing made it an affordable solution for a small subset of our company. It is nice that end users can create reports and dashboards without a dedicated report writing resource. If Tableau is used for reporting outside the company to external users it can get very expensive.