Tableau Reviews

We can do many things with Tableau. I only use it for simple cases, but you can do many things with the device.

Tableau makes changes frequently. Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution.

The user story model is the most deceptive part of Tableau. It is a big marketing option, however, the reality is that it is not enough.

I have been using Tableau for two years.

Tableau is a good product. 

The advice I would give to someone looking to use Tableau would be to get prepared.

I use Tableau for BI and business subject, I would rate it a 9 out of 10.

Tableau is good for routine dashboards, and it has integration with Slack, through which it can send you daily updates.

Areas for improvement would be visualization and augmented analytics. In the next release, I would like to see automated insights from the data added to the dashboard.

I've been using this solution for about six years.

Tableau can be a little slow when loading, and it can fail with higher gigs or terabytes of data.

From working with my data analyst, I get the impression that Tableau can't take the load when scaling.

We had embedded technical support from Tableau in our enterprise, who was awesome and kept Tableau updated at all times.

Tableau is pretty good, interface-wise - it's easy to understand and to download data. It also has the most functionalities and capabilities of any tool. However, it doesn't have anything that differentiates it from its competitors, unlike Adobe Analytics' strength in visualization and data capture. If someone is looking for routine dashboards and wants operational dashboards, Tableau is the best solution. However, if they want to drive strategic decisions, they may have to look into a different product. I would rate Tableau as seven out of ten. 

Private Cloud

When we work with CXOs to create dashboards we use Tableau. C-level employees like a CXO, a CEO, a VP, prefer to work with Tableau. It's easier and better for them.

For Tableau, the most valuable feature is the user experience and the quality of the end product.

One thing I would want to change for Tableau is to have a lower-cost model. It's pretty high for enterprise deployment.

In the next release, I would like to have the capability to call machine learning models within Python while I'm building a dashboard. The value calculation should be a machine learning model, which is running somewhere else, on say, Amazon. These tools give good outputs, like calculated fields and all. But today the outputs are not straightforward. In simple terms, I need machine learning on the fly. That is not there.

I have been using the solution for four or five years.

I would say the solution is very stable. We have not had any issues in using the product at all.

The solution does have scalability issues. When the data size increases, the product slows down and doesn't work right. In addition, it's very expensive to scale.

The only other solution we use and have explored is Power BI from Microsoft.

The solution deployment was pretty simple and straightforward.

We deployed the solution with our in-house team.

It's an enterprise solution, and we have all licenses. Tableau has multiple licenses; there is a reader, a developer, and an administrator.

If there are 50 or 100 users wanting to use Tableau, it's pretty expensive. The license is very expensive. We have 20 to 30 users in our company.

Because the solution is a drag and drop tool and what unique features we need or what we want to build, we cannot build using the tool. So we use JavaScript for that. We write our own code and build our own solutions.

My advice would be that all solutions are good, but it depends on your use case. If you are building something for C-level employees, use Tableau or another solution.

I would rate this solution an eight out of ten.

On-premises

It is usually used to visualize how the data looks. It is used for drawing charts and different types of visualizations. You can visualize sales, profits, and metrics by geography, product categories, and so on.

I'm using the 2020 version. The latest version came out in 2021. I've not downloaded that one yet. I'm using the last year's version.

It is easy to use, and it can handle a large amount of data.

An advanced type of visualization is a bit tricky to create. It has something called a Calculated field, and that sometimes gets a bit difficult to use when you want to create an advanced type of visualization.

I've been using this solution for five to six years.

It is stable.

It is scalable. We have around 10 users.

I have not contacted their technical support.

It is just a matter of downloading the file from the internet and installing it. That's it.

It is pretty simple to use. We don't require anyone for its deployment and maintenance.

I believe it has a lifelong license, and once you purchase it, you don't have to renew it, but I'm not sure.

I would recommend this solution to others. I would rate Tableau an eight out of 10.

On-premises

• Creating dashboards to generate value out of data
• Great features and functionalities with customized dashboards
• Very intuitive and massive user support base.

It has helped to save millions by making informed decisions which are data driven. Visualization of data with great efficiency has helped to integrate dashboards across the organization.

• Platform to automate and make user-defined customized dashboards. 
• Very well integrated with other applications which helps to move data from one application to another with much ease.

Sometimes it crashes because of the huge database. This could be fixed so that it works smoothly with large databases.

One to three years.

Three years ago, Viber didn't have any visualization tool to present its massive data inside the company. One month after implementing Tableau, inside Viber we were able to understand much better the business, opportunities and technical problems.

• Drag and drop: It's easy for beginners to use Tableau as it's very intuitive and simple to create insights.
• Quick table calculations: There are some best-practice shortcuts for tables, which means Tableau can be implemented very quickly.
• Data Connectors: Tableau has many different connectors for different databases. It's very easy to connect to MySQL, SQL Server, Amazon EMR, Presto, Redshift, BigQuery, and so on. Just name it and they have the connector; the work they do is very impressive.

Data science: Tableau lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python. It has clustering and time-series forecasting abilities which are helpful, but adding machine learning capabilities like decision trees, CHAID analysis and K-means would make this product perfect! Tableau has a connector to R; you can use the ML algorithms there and visualize it back in the Tableau.

Previous versions suffered from instability but that has been fixed in later versions. The current version has no issues with stability as far as I can see.

Tableau is not scalable on the desktop version. On the server version, you can scale it by adding more machines and configuring Tableau to use all of them.

One of Tableau’s secrets is that they have one of the best tech support in the world of BI. The community of developers is great, with a lot of contributors; very nice and helpful – for beginners and professionals.

In the past, I used QlikView as the BI solution. It's also a great tool with many features and great support. The problem with QlikView is that it's expensive and it takes longer to implement inside organizations.

It's very simple and quick to implement Tableau in an organization; you can have helpful dashboards in a matter of hours.

Tableau pricing is low compared to other solutions that are in the market; for small-medium businesses, that would provide good cost-effectiveness. For big business, Tableau could be expensive as having a lot of Tableau server users (entering with a browser to reports) could be a bit expensive.

We compared Tableau to QlikView, Panorama Necto and TIBCO Spotfire. We evaluated them by:

• Price
• Ease of use
• Speed of implementation
• Use-case visualizations

Don't visualize more than 2M data points in a report. Use extracted data and not a direct connection to the database; it will run faster. Don't use too many sections in a report; 3-4 at most. Make most calculations during the ETL process and not in Tableau; every calculation that Tableau does will make the report go slower.

The ability to make interactive graphs, tables, and maps that can be shared on social media, linked to, or embedded on a website are the most valuable features. The ability to allow readers to view and download the underlying data is another valuable feature.

I just did an analysis of real estate sales in my county (Bay County, FL) and it allowed me to share the results with the public in a way they can make their own discoveries beyond what I have presented. 

Tableau Public is free, which is incredible. However, the paid version is too expensive per user. They need to reduce the cost of the user that is not making the analysis, but only reading / drilling down on the results. It is hard to get a client to pay that kind of money to view reports.

From my conversations with Tableau, their product Tableau Online is what allows others to view and interact with data online privately. The cost per online user is $500 per year. There is a free Tableau Reader, but it is limited. So, if I wanted to make data visualizations for a client or within my own company, I would have to pay for the desktop software to make the visuals plus pay an additional fee for everyone who wants to use the full functions online. Tableau Public is free and an awesome tool, but it is all publicly available.

I've had no issues with deployment.

I've had no issues with stability.

I've had no issues with scalability.

Ease of use. The power to do anything I want to do. The ability to connect to any data. The ability to merge ("Blend" data from multiple sources). Built in "best practices" in data visualization. Statistical capabilities with the "R" integration.

I'm a consultant - specializing in Tableau. It allows me to go into a client and be productive immediately. Also, it's ease of use helps me get in the doors, initially - I can walk in, connect to a client's real data, and find insights from that data, in a 30 minute meeting.

Everytime I make a request for a new feature, it is, typically, in the next release. I would like to see some additional calculation functions - maybe some statistical one for clients that do not want to have to learn R. As in every product, there are things it does not do, but, I've never had a user need I could not meet.

I started with Tableau Desktop in 2005. At that time I had been using Brio Query, Cognos, and some others. Once I saw Tableau, talked to the founders and heard where they were going, I started leaning toward Tableau & I've never looked back!

I've had no deployment issues. With some clients that have "specialized/custom designed environments", it may take a few minutes/hours longer to get everything running, but, Tableau Support has always been there for me.

I have had a couple crashes - usually linked back to something stupid I did in my Windows machine. I've done some work with the latest Mac version - have had no issues, in it...

Never. I do a BILLION+ record demo on my notebook, with sub-second response time. As in any other tool/application, proper design is still needed. Tableau affords me the advantage of being able to implement increment aggregate data sets without having IT involvement. THAT is BIG!

Customer Service: Excellent - best Customer Service in the industry, from my experience. I've never had a question or issue where I did not feel like I was their top priority...Technical Support: They suffered some growing pains, for a while. But, they seem to have implemented processes and procedures that aid in the support function. Right now, I rate them as excellent.

I was a Cognos and a Brio user / developer. Every update became more fragmented and harder to use - always seemed to be from acquisition, not smart & integrated, development. As an experienced BI consultant, I saw that Tableau's direction was where they all should have been going. Switching was the smartest business decision I ever made!

Server and Desktop install the same way. Double-click on the installer program - click "Next" a few times. Done. You can customize the Server installation, along the way. in many cases, that is not needed. The whole process is easy and fast. Desktop installs in a minute. Initial Server installation can take 10 minutes.

I've always done my own Tableau installations and upgrades - too easy to think about paying someone. There are consulting companies, that specialize in Tableau, for businesses that have too few resources, or, might have a complex environment. For the most part, Tableau Support can help with installation issues. Once set up, I advise clients to work with experienced consultants, for a short period of time, to set up a "production process".

As an independent consultant, I have no "projects" of my own. Two comments, 1. My entire income from consulting is based on my Tableau knowledge. In that sense, my ROI is an infinite percent. 2. I've seen clients find actionable insights so fast, and with so much bottom line impact, that the cost of implementing an enterprise environment was paid for, up front, from a two week trial copy of Tableau Desktop.

Tableau Desktop is $1999 per named user (Professional version). There are no add-on fees. Mapping, census demographics, R interface, ALL data connectors - are all included... From my perspective, and from my client's perspectives, the pricing model is ideal. You get it ALL for one price - no issues after the fact...

Yes & no. No real "project" to review where I was going. Many times, the client dictates what I would be using. As I developed into more a higher level consultant, I was always looking at new products, and updates from existing ones. In the last nine years, no one has come close to unseating Tableau as my choice...

Start NOW, In the free, full offering trial (2 weeks), coupled with the free on-demand training and passionate & active user community, you will be amazed at what you can accomplish. Many find they PAY for it, BEFORE they buy it! If you need help, there is Tableau Support, Tableau Consulting and a bunch of us in the independent world, all ready to assist.