Tableau Reviews

We use it for our customers in retail, healthcare, and manufacturing who need analytics. I'm doing use-cases like this a lot.

We have a customer who is an automation company, and we use Tableau for optimizing the inventory in the warehouses.

Tableau's easy to use, and easy to deploy. It has a good user interface. The most important feature in Tableau is visual analytics. The maps and geographical analytics are important for implementation. It's also easy to develop and work with historical data. It also makes it easy to create a culture within the organization.

The price could be better. The overall scalability can also be improved. I would like to see more machine learning components to do predictive analytics. It should be simple for our customers to use. Tableau should include an automated machine learning feature in the next release.

I've been using Tableau for about nine years.

The stability is good.

Tableau is scalable, but the overall scalability can be improved to accommodate large volumes of data.

The initial setup was easy. The time it takes to deploy depends on the company size. For example, one day, four days, or maybe even two weeks. It depends on the company and the data they have. It takes about three people to implement and maintain this product.

Pricing could be better. I believe they should offer better pricing for deployment in small to mid-sized companies. Tableau needs to change the pricing model and offer a monthly option. This is the principal benefit their competitors offer. If companies can pay month-to-month, it would provide more opportunities for them.

Our customers often evaluate competitors like Microsoft BI and Qlik Sense. These products are deployed everywhere, in the cloud and on-premise. Tableau loses to the competition because of price.

I would recommend Tableau to new users. This is a great tool.

On a scale from one to ten, I would give Tableau a ten.

We use it for dashboard designing.

It has improved our organizational departments, like sales, HR, etc.

The most valuable feature is the 3D charting.

They need to improve the bar chart position and width.

The most valuable feature in Tableau Desktop developer version is the drag and drop feature of dimensions & measures in the view. Parameters and action filters are also great.

Me and my team work extensively on geo-spatial data, wherein we are supposed to deal with shape files and state/city/pincode boundaries. Tableau also provides a feature to make custom geographic shapes, which helped us in delivering a wide range of solutions. 

I would love to see dynamic parameter values & radial distance recognition on other WMS maps.

I have been using Tableau Desktop and Tableau Server for four years now.

I have not encountered any deployment issues. Deployment is really easy and simple until and unless you get your hands on the Server-Worker Configuration setup. That is a bit tricky.

It is super stable. No issues whatsoever.

I have not encountered any scalability issues.

I used QlikView but switched; the UI was not that great.

Initial setup was straightforward.

I implemented Tableau Desktop & Server all by myself in my organisation.

ROI shows when you hear 'Wow' from your clients every time you deliver a dashboard or a report. They always come back with new projects and greater expectations.

The price is perfect, as the ROI is superb.

Before choosing this product, I did not evaluate other options.

• Easy to connect to random sources of info. In my case, to MySQL + Google Analytics + an Excel file with Facebook Insights in one case, and another MySQL + PostgreSQL in another case.
• Easy to build with drag & drop even for a rookie like me.
• Fancy graphics in the end result. This is important when I use it during a demo in front of potential customers.
• Interactive filters. A selected option in one widget can filter automatically the other widgets that are used in a dashboard. This is awesome!
• A wide range of customisations.

In less than 3-4 hours, I started from a pure installation on my Mac and succeeded in investigating a trip of a vehicle recorded in our records and had created a visualisation of that trip on a map.

That was used to prove a hypothesis that we can find answers to various questions about our vehicles without needing to wait for developers to handle the custom specific case.

I need to be able to combine in a worksheet from different sources because the insights could be much more powerful. It is possible that the product can do this now, but it was not easily found.

An option to interrupt the process of loading of external data (like from Google Analytics) would be helpful. A few times, I had issues with interruption of the initial data loading process, when it took longer than the expected.

I have been using it for a month.

I did not previously use a different solution. This is my first time with this. I did a lot of research into the final result of my BI work.

Initial setup was pretty straightforward!

It was an in-house implementation. Pretty easy.

If the price was cheaper, then my rating could have been a perfect 10 ;)

If you are looking regularly for answers that are hidden inside your data - like 3-4 times in a week - then it is undoubtedly more valuable to take a shot with a BI solution (even if you don’t use Tableau). The speed; the deadlock dependency on your R&D resources leads to a loss of time. Tableau gave me the freedom to experiment with the hypothesis that I had.

• Flexibility: It's able to connect to any data source.
• Reliability: So far, no major issue seen with the tool. It never crashes, even with huge amounts of data to handle.
• Easy to use: I can create and modify dashboards, workbook or stories easily
• Easy to share: Even without the online version, workbooks are easy to export and share without any additional cost.
• Easy to maintain: Once the workbooks are set up, updating them is quick and easy.

• More data-driven decisions. Thanks to its way of presenting data and its ability to handle a huge amount of data, it helps the organization see data in a different, and more visual, way.
• Reduction of non-value-added tasks due to maintenance.
• Possibility of sending out new customized reports in a quick and reliable way, so specific issues can be addressed.

• Improved predictive analytics. This part is still a bit missing and it'd be useful for the companies.
• More advanced built-in statistical tools. Still a bit rough on defining trends.
• More flexible "storyboard" worksheet implementation. For instance, having a summary where you can define the filters and worksheets in the storyboard, without having to define it sheet by sheet.
• More easily customizable fonts and formatting. Today, it still requires some time. It would be great to implement a "copy format" function.

I have used it for two-and-a-half years.

So far, I have not encountered any deployment, stability or scalability issues.

Some consultants are keeping track of us and I would say they are doing a good job. Technical support through Tableau’s online forum might not be sufficient sometimes but somehow, I've always managed to overcome issues without calling support.

Initial setup was straightforward; no issues.

In-house implementation; the process is smooth and easy.

ROI is difficult to calculate.

We evaluated Lumira and QlikView. Tableau is more flexible and reliable, and it has no additional cost for sharing reports.

It's a great visualization tool, but not only that: It simplifies implementing new reports and maintaining them, combining a great way of looking at data with flexibility never seen in other tools.

• Valuable to use smaller data sets
• Automatic Extract Creation
• Replace on publish data sources
• Online sync client
• Progressive-loading dashboards.
• Parameter to pass an initial SQL dynamically
• Combine multiple sets with union
• Subscribe and schedule the reports to receive email on data snapshot
• Ad-hoc reports and ease of use for the end user
• Reduces development effort
• Easy maintenance
• Security with role-based access and in line with Active Directory and SSO
• Alerts and scheduling
• Heat maps, geographical charts, 3D charts, drill down/drill up, drill through, cascading effects, and multi-dimensional and canned reports all in one tool
• Embedding into Microsoft SharePoint

• The end users need not depend on the regular BI developers for certain quick and ad-hoc reports.
• Generic avoidance of sharing the emails with an embedded Excel etc
• Can be accessed from multiple smart devices
• Snapshot facility to the end user for analysis
• Effective visuals

• Facility to add custom code to the dashboard will be helpful.
• Custom SQL feature is not working as expected from the performance perspective. Irrelevant of the SQL, the engine executes for everything available.
• Archive historical data using extracts
• MeasureName filter can’t be shared across multiple sheets in a dashboard.
• Cascading with relative has restrictions over the worksheets in a dashboard.
• Multiple selection in parameters
• Formatting option for individual filter is not available.
• Using HiveServer2 connector is a big challenge to pull, even with smaller data sets. Not sure if that has been improved with Spark Thrift server connector.
• Not much support for Hadoop / Hive as the backend in the market, connectivity issues not limited to the drivers.
• Few complex report requirements (for dashboards) could not be achieved with better performance (e.g. Dynamic Parameters).
• Reverse engineering from the front end report is not that impressive.
• For massive volumes of data, the performance acutely degrades.
• Permitting external users with no SSO is still a concern.
• Server support on Linux is lacking.
• Caps on report scheduling

I have been using this solution for more than three years.

TDS deployment will not encourage editing after the deployment.
With the TDS deployment, a few of the formats are lost. So far, this is not a serious issue.

Approached from the client side, waiting time is reasonable high.

I previously used MicroStrategy, QlikView, SQL Server Reporting Services, SQL Server Analysis Services, Panorama, SAP BusinessObjects, and in-house Java-based reports.

The reasons I chose this product were: ease of doing things, faster performance, and it is an all-in-one tool.

Comparatively, basic setup is not a hard task.

Our use case is met, but the pricing is still a matter of concern.

It is a nice visual and high performance all-in-one BI tool which is becoming more popular with its ease of use and user-friendly features, effective visuals and apt major functionalities of BI.

However, it depends on one’s requirements and budget to balance the need.

We would recommend using it for mid-size datasets to visualize near real-time data, as there is no control over the execution model.

• It is very powerful
• Flexibility
  

Minor issues only. My biggest one is control over the order in which filters and sorts are applied. There is some control of this but not enough.

I've used it for seven months.

No issues encountered.

No issues encountered.

No issues encountered.

It's very good.

Our parent company has its own internal Tableau support team so I have had no contact with Tableau’s own technical support

No previous solution was used in this company, but I do have experience of Domo.

It was complex. We have a complex situation with extensive data security set up at three and a half levels across over 100 active users with most of the users not only controlled by level but also having access to very specific sets of data only.

Inevitably the setup for this in Tableau was complex. This is not a criticism of Tableau however – just the opposite, the impressive thing is that it had the flexibility to achieve it at all

I implemented it myself.

Tableau is a very powerful and flexible product, it also demands some level of skill on the part of the user. When compared with Domo for example, the end result in its standard form is more flexible, is able to put more information in a single view, and offers more user interactivity. However the other side of this coin is that in its standard form, it is much less accessible to less skilled users. We have managed to develop an interface that is as accessible as Domo, but this has been quite a complex and time-consuming task.

I use Tableau for the ability to use the sheets/histories, dashboards, and various charts (some with GPS locations). I am also able to publish reports to my own server.

Tableau will automatically show charts for the related data that I choose, making it very easy to use.

In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI.

I also think that the trial period should be extended. It is currently only twenty-one days which is a short amount of time to get acquainted with the solution.

We looked at Power BI and realized that would would need some experience to use this solution since it will not automatically pair a chart with the data that it is related to.