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
TARGIT
Score 7.4 out of 10
N/A
N/A
$53
Pricing
Tableau Desktop
TARGIT
Editions & Modules
Tableau Creator
$70.00
Per User / Per Month
Viewer
$53
Standard User
$105
Developer
$1,500
Business Intelligence Accelerator
$2,375
ANTserver
$8,000
Offerings
Pricing Offerings
Tableau Desktop
TARGIT
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
All pricing plans are billed annually.
All prices given are starting points; see vendor for more details.
More Pricing Information
Community Pulse
Tableau Desktop
TARGIT
Considered Both Products
Tableau Desktop
No answer on this topic
TARGIT
Verified User
Engineer
Chose TARGIT
TARGIT seemed to have all the BI tools , but they are not scalable to larger solutions.
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.
Targit is very strong when the data is presented to the system. Because of this, we are able to report on almost all of the information that is valuable to us. When we have questions or ideas on how to better leverage Targit, they are great to work with. We track our sales progress/process in Targit and AP tracks things such as outstanding invoices, open invoices, etc
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.
Probably one of our biggest complaints from the user community is the inability for the user to see the details behind the data. I know with the tool you can write reporting services reports that would allow users to see the detail by right clicking on a measure and selecting Actions, but for a very lean IT shop there simply has not been time to build these Actions for every possible scenario a user might want to see detailed reporting on.
Another complaint I've heard is the inability for the user to know exactly what the data represents from the source. If Targit had maybe some type of capability to hover over a measure or dimension and see a pop up of a more detailed description this might help resolve that issue.
The most difficult concepts to teach our users is how and when to use comparisons and the syntax for calculations. Creating comparisons has become much simpler with the 2k11 release but it is still difficult for my users.
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.
It is very easy to use and I am proficient at this point to be able to figure out how to run most of the reports I need. I have had the time to "play around" in TARGIT and really teach myself about the visibility settings and other aspects - though other users have needed help with some of these aspects - but once you conceptually understand how to build the reports, it is very simple from a power user perspective.
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.
Everything on the back end needs to be correct, which sometimes it may not be set up or missing some variables. Some of the more difficult parts of Targit require a lot more attention and object creation to work properly
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
Everyone I've dealt with at Targit genuinely cares about me and my success, and they respond to questions quickly and accurately. There is literally nothing more I could ask for from their support.
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.
Make sure all of the back end work is done prior to getting Targit set up. Every variable you may need for calculations needs to be correct and every item needs to be uniform so it is read properly.
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.
It really met our business requirements when we were searching for a reporting/Bi tool and the flexible business model of being able to introduce additional functionally as your organization grows and requires it made the investment decision the right one for us. The functionality available in comparison to the investment is well worth it.
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.
