Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$70
per month
Pricing
Salient Dashboard Miner
Tableau Desktop
Editions & Modules
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Tableau Creator
$70.00
Per User / Per Month
Offerings
Pricing Offerings
Salient Dashboard Miner
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Salient Dashboard Miner
Tableau Desktop
Considered Both Products
Salient Dashboard Miner
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Tableau Desktop
Verified User
Analyst
Chose Tableau Desktop
Tableau is next generation tool where other two are old traditional BI tools Other tools are very slow and difficult to use, and required lot of technical expertise to use them. Tableau's look and feel is much nicer than those two.
Against the usual incumbents within the pharmaceutical industry, Tableau has much better and faster access to database data especially stored in the Oracle database, without needing any interim transformations or data universe needing to be created. Also it has comparatively …
The reason I selected Tableau desktop was because it is so easy to use. You can easily download it, there are a large number of tutorials provided by Tableau that you can use to familiarise yourself with the tool. The learning curve for Tableau is less. I personally had a …
We were interested in expedience at reasonable cost and so didn't do any sort of bakeoff, but tried Tableau first as a potential solution for moving beyond Excel for large scale data analytics. We picked it because it more than met our functional needs at a very reasonable …
Tableau has a little less learning curve for developers but this is because fewer functions and customization options are available vs. Spotfire. Spotfire is a much more scalable solution, works many times faster with huge databases with over millions of rows.
We selected …
Tableau is not as user-friendly as SAP Lumira. SAP Lumira is more efficient and productive time-wise, especially for first-time users. Tableau is better for more complex and detailed dashboards; especially interactive dashboards. Tableau enables users to create interactive …
My current work environment uses both Tableau Online, MicroStrategy & SSRS in parallel. Tableau is much closer to the SSRS in terms of visualization tool where as MicroStrategy is an enterprise data modeling and reporting tool.
Based on the use case we use different tools. Here …
It is easier to start with Tableau. The out of the box ready feel is more with Tableau than any of the other BI products. Product scalability is at a steep cost with Tableau but it gives the possibility to begin small and then grow as it proves its capability as compared to all …
QlikView is more customizable and has more depth, but is much harder to learn and much slower to develop. Tableau Desktop is much quicker to put together and if you have questions the community of support is much better. It doesn't handle as much data as QlikView does.
In comparison to Tableau, the other dashboarding/BI tools I've used feel clunky, are very slow to develop in, and seem to lack features of a more modernized tool like Tableau. In Pentaho Analyzer, for instance, trying to include multiple worksheets or reports in a single …
As far as I know, we do not currently use Domo, however I've seen some demos of their product. Domo is very good with cloud-based software and it also incorporates social media data. Domo is also good at using cloud-based excel file building vs. building spreadsheets on my …
Cass evaluated Domo, QlikView and Birst prior to selecting Tableau. It came down to cost (and by a significant margin); the others have relatively high implementation, hosting and other costs. Additionally, based on a recent Gartner "Magic Quadrant", Tableau exceeds all others …
I had the trial version of Tableau Desktop downloaded, installed, configured and was creating meaningful dashboards in almost 15 minutes. While other software we used had great features, none of them were able to compare with this trial experience. Tableau's user forums were …
Verified User
Administrator
Chose Tableau Desktop
I have used several reporting tools and Tableau is the best by far.
Python is programming tools, while Tableau is an easy to use drag and drop data visualization tool. This may not be an apple to apple comparison. Compared to Excel, Tableua is way over the top when it comes to data visualization.
Tableau is by far the superior product when it comes to analysis, ease of use, and end user experience. People are usually more familiar with Excel so it can be difficult to break them out of their comfort zone. Lastly, when it comes to subscriptions, SSRS is the tool I prefer. …
The primary factors for choosing Tableau were the licensing costs; ability to view data from multiple data sources; the ease of infrastructure to setup; and ability for users to create and maintain their own worksheets without the need for IT assistance.
While I haven't done a lot of work in Microsoft BI, I do think they are on the right road to being a great product but they definitely lag behind Tableau in the number of features available. Obviously, it does integrate well with Microsoft products, but it remains to be seen …
Tableau Desktop is one the finest tool available in the market with such a wide range of capabilities in its suite that makes it easy to generate insights. Further, if optimally designed, then its reports are fairly simple to understand, yet capable enough to make changes at the required levels. One can create a variety of visualizations as required by the business or the clients. The data pipelines in the backend are very robust. The tableau desktop also provides options to develop the reports in developer mode, which is one of the finest features to embed and execute even the most complex possible logic. It's easier to operate, simple to navigate, and fluent to understand by the users.
An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.
Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.
Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast
I have never really used support much, to be honest. I think the support is not as user-friendly to search and use it. I did have an encounter with them once and it required a bit of going back and forth for licensing before reaching a resolution. They did solve my issue though
It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.
The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful
Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.
If we do not have legacy tools which have already been set up, I would switch the visualization method to open source software via PyCharm, Atom, and Visual Studio IDE. These IDEs cannot directly help you to visualize the data but you can use many python packages to do so through these IDEs.
Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.
Tableau was acquired years ago, and has provided good value with the content created.
Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.