Tableau Enterprise Reviews

Tableau is primarily used for analyzing data. It is not just a dashboarding solution, it is also a visual analytics solution, which means that end users can make their own analyses on that product. They can find lots of findings. The product has lots of capabilities that allow the user to focus on data. 

One of the most valuable features of Tableau is that it's a visual analytics solution, not just a dashboarding solution. Compared to Power BI, which is a dashboarding solution, there are no limitations with Tableau. For example, when you add a chart or a map to Power BI, it has a 3,000-point limitation. When you try to track your whole vehicle on the map, you only see the first 3,000 rows on the map, and Power BI doesn't tell you which part of the data is shown on the map. But Tableau doesn't have any limitations, which means that you can see five million data points on a map. It starts the project by creating the visuals that directly converts to SQLs. In that way, all the components have no limitations. 

When we compared Tableau to Power BI, we also found Tableau to be more fancy. Fancy means you can create more visual graphics and more visual dashboards. With Power BI, this isn't so—it's just some tables and some simple charts together. 

Tableau is more for business users who want to analyze data. Tableau can directly connect the analytics systems, like R or python, and get the results in screen, so it's a good solution for analytics scientists. It has some predefined capabilities to understand the data. 

Tableau's automatic insight could be improved. It has some predefined capabilities to understand the data, but I think they need more. Customers need more insight automatically from data—they don't want to discover them, they want to get the forecast automatically. 

The data preparation should also be improved because it's not easy. 

Tableau tries to focus on the business side, but the backend side has not improved much. They also have an ETS solution, but it's limited. 

I have been working with Tableau for four years. 

Tableau is stable, but the analytic tools don't distribute. You should subscribe in analytic prospectus. In that way, Power BI or Calique or Tableau uses subscription instead of publication, so if the user should ask something or should want to avail of something, they focus on a report and click on subscribe. In that way, they get the data, so the business case is changing a little. Old products, like Oracle BI or SAP BusinessObjects, have more publication features that these kinds of products don't have. I think Tableau's publication feature needs to be improved. 

Tableau is scalable. 

We also evaluated Power BI. We chose Tableau because it is a visual analytics solution, not just a dashboarding solution, so there are no limitations with Tableau. The second reason was because Tableau is more fancy—you can create more visual graphics and visual dashboards. However, Power BI has the advantage on the backend side. It has a huge cloud environment, but Tableau doesn't. 

I rate Tableau an eight out of ten. 

Tableau has a good site named publictableau.com. There are lots of examples and millions of Tableau dashboards already published there. You can download the dashboard and see what's behind it, to analyze it. It's a good chance to create different kinds of dashboards. 

To those considering using Tableau, I would also advise that they understand the infrastructure of Tableau. Tableau uses lots of big data technology inside their product: Elasticsearch, Red Cache, Amazon Apache, etc. I think there are more than 50 different big data technologies inside them. If they know their infrastructure, they should understand the big data technologies also. 

We are not resellers, we are developing in Tableau, and we are implementers.

It is very simple to use for the end-user. It is user-friendly.

It integrates well.

The interface is good.

It is very easy to implement and to use.

A strict security measure is needed. I believe it is weak in terms of security.

We have been using Tableau for three years.

Tableau is a stable solution.

The scalability is great.

We have ten users in our organization.

We are also experienced in using Oracle OBIEE. We have the same application ruling in both technologies.

We have no issues with the configuration.

We need two people to deploy and maintain the system.

The price could be improved.

Licensing fees are paid on a yearly basis. 

The licensing is by addition, we currently have an administrator and the viewer.

Yes, I would recommend this solution to others who are considering using it.

I would rate Tableau, a nine out of ten.

Tableau can be helpful for BI reports and data dashboards. For example, say you are getting data from a few systems, and you want to see a consolidated report, like a management report or a transactional report. We use Tableau to build a dashboard using the data that we get.

I'm in a pre-sales role, so I don't have a lot of practical hands-on experience with Tableau, but there are experts in my company, and we've been using the solution for more than five years.  
We're consultants. If a customer wants to build a dashboard or run some custom reports using Tableau, we do the engineering part.

Performance-wise, Tableau is good but it could always be better. 

Since Tableau is on the cloud, we haven't faced any challenges around scalability. Since I'm not an engineer, I don't know if that scalability comes from the cloud infrastructure or Tableau itself. I can't rate it properly on that front.

The complexity of deploying Tableau generally depends on the size of the project. As far as I know, it takes two or three Tableau engineers for the bigger projects where we're using utilizing them to build a database. 

To clarify, I'm talking about the engineers building the custom solutions for our clients, not consuming them. To construct the Tableau reports or the database we use to generate the reports, we need two or three Tableau engineers and around the same number of database engineers to generate the data or write the scripts required for generating the reports.

I would rate Tableau seven out of 10. Other tools are more competitively priced, but I wouldn't give it a low rating because Tableau still provides the functionality our clients need. I would recommend it.

I had a case in the dairy industry, and they had about 200 sales agents on the field. They needed some daily reports as well as some dashboards with the standard presentation of their goals and targets. So we prepared some dashboards and Kafka presentations of data collected daily and presented them to the field sales team. We drafted up some information for them about how to proceed with their daily targets. Tableau could visualize the salespeople's progress toward the targets. For example, it can use different colors to signify if the sales team is over or under its target. They can use this graphic to find what they need in their final reports. So if they are under a monthly benchmark, they can break down the graphic presentation, do final reports on a daily level, and find information on each day in the month.

Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool.

If you mainly need a tool for BI reporting, it's not the best option. Tableau needs better abilities to generate simple reports, integrate, create databases, and work with data lakes. 

I can't recall ever having an issue with Tableau's stability. And also, I'm not sure how often our clients have had to update software or install patches, but I think it's pretty stable. I would consider it moderately to highly stable.

We've used local technical consultants and support in Serbia, so it was pretty good. I can't remember having any problem solving issues during the implementation. And later, during the exportation of this tool, support solved all our issues and incidents in a reasonable time.

Tableau also has a broad user community that's helpful and powerful. When you're using Tableau, you get a knowledge base with a lot of interesting and valuable information. So it's not hard to find some solution that's already prepared for simple presentations, like templates for visualizing reports in a novel way. 

I've used two editions of Tableau. The free edition was very easy to use and set up. The enterprise requires a desktop and the Tableau server, and it's not too complicated. However, it's necessary to have experience and some documentation. So setting up the enterprise version isn't easy for someone who has no experience, but it isn't too complicated overall, either. We had the support of a local company here in Serbia who rebuilt it. They are consultants who specialize in Tableau databases and everything necessary to implement this tool. So I can't remember any problems with the setup. It was relatively easy. They also had to set up the desktops, the Tableau server, and a couple of professional licenses to prepare basic reporting and visualization segments. Lastly, they just have to set up the end-user with everything they need to read the reports and see presentation and visualization.

Tableau's prices are relatively high for our market. I am from Serbia, so many companies in this market don't have the ability to pay for expensive software. My clients are quite satisfied with a lot of Tableau's qualities except for the prices.

I rate Tableau eight out of 10. I would recommend it for companies that have a specific need for a solution with strong visualization capabilities. 

We were using Tableau for some simple data visualization statistics. Last year because of the pandemic, we collected locations of people who were positive and then tried to put the information on a map and see if we can find any patterns.

Tableau is easy to use compared to some other solutions, such as Excel.

There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities.

I currently have to use another Tableau solution that allows me to combine different data sources and do the data cleaning. I think they should combine these solutions together.

I have been using Tableau for approximately one year.

The solution is stable.

Tableau has been scalable for what we have used it for. However, we have not used a lot of large data sets at this point.

I am from a Oracle database background and I have used Oracle Reports.

I downloaded the solution online for free.

I would recommend others to have a look at Tableau for data visualization.

I rate Tableau an eight out of ten.

The solution is primarily used for analysis purposes. I use it quite a lot. 

Overall, the solution is pretty good.

You can do a lot of filtering from the dashboard. 

You are able to see and follow trends.

The scalability of the solution is very good.

There is a lot more that can be done with Tableau than what is actually happening within Juniper. The company is not getting the answers to the questions directly from the Tableau database, for example. Of course, Tableau can be extended to answer those questions. 

What is happening, with so many tools coming up in the market, is that people have to continuously get educated in order to use some of the more advanced features. What's happening with Tableau is that, except for the dashboard view and all the filtering and that's happening from a dashboard perspective, it doesn't seem to be very good in making me understand the trend insights. For example, if I saw that the average sales price for Product A was lower than the average sales price for Product B, I'm not saying that B is inferior to A or anything. I'm just noting what I found and I cannot give more details. It doesn't go deeper into the analysis. I'd like more analysis to better understand what a trend might mean, and not just a report that a trend is happening. Right now, Tableau is not so good at providing that extra bit of insight.

What happens is Tableau data is used very often. From the quarterly business reviews, et cetera, the executives have direct access to the Tableau dashboard. More than anything else, they're able to do all this filtering. They could probably improve the user interface response times. When it comes to slicing and dicing of data viewing the results, it needs to be just easier in general as executives are using it and looking at it, and they are not very technical. 

When executives look at the Tableau dashboard, they want to know why, for example, Product A bringing in less than Product B. Those kinds of key questions, which come from executives for reviewing the Tableau data need to be addressed and in a simple to understand way. I think Tableau has to work a little more in terms of the business insights aspect of it, where it communicates to the user and answers their questions. That intelligence part needs to be developed in Tableau. 

Something great would be, if, for example, like in Google, if you asked a question, it could feed you back potential information. I don't want to compare everything to Google, however, it's so easy to find the answers you need in the way Google is set up. If Tableau could do something similar to showcase answers to questions, that would be ideal. It needs some sort of smart dashboard. 

I've found the scalability to be quite good. If a user needs to expand it, they can do so. 

I also have used Teradata previously. 

The front-end of Teradata is not so well used and therefore I cannot talk about it much, however, the dashboard is pretty good. Much like Google, which uses ML and AI to help answer questions, both solutions could benefit from extracting intelligence to answer questions. 

I'm simply an end-user of the product. I don't have a business relationship with Tableau.

I'd rate the solution at a seven out of ten. I'd like to talk to a Tableau product manager about the solution and describe how I would like the solution to work, especially around deeper analysis.

I'm a computer science professor and I teach analytics. We use Tableau to teach students how to develop visualizations of data sets.

I like Tableau's heat maps and the storyboard. You can create data stories and tons of visuals with it, and it goes together really well. Tableau lets you manipulate the data in various ways. But since we are teaching, we have to accommodate the needs of the students. Often, we have to go back to basic stuff like Excel because that is what the students will be working with at whatever jobs they get. So we try to use the type of tools that their workplace will offer. We know Excel is widely used and Tableau is not.

I've been working with Tableau for about half a year or so.

It's an individual solution so it works on as many desktops as you can download it to.

We were using Azure, but we're trying to get away from that because Microsoft is very expensive. We're trying to keep our expenses down while trying to find some decent products. 

Setting up Tableau is straightforward. You just can download it and set it up on your system in five minutes.

The price of Tableau is too high.

I rate Tableau eight out of 10.

We use this solution to create dashboards, analyze data and create presentation of data to have discussions with clients. We also use it to sort huge amounts of data. 

The solution is very user friendly, particularly in terms of the ease of analyzing data.

Tableau would be difficult to implement without training or the in-house technical support we have.

I've been using this solution for three years. 

The stability is very good, especially now that they've joined with Salesforce.

We have support from within the company. 

The initial setup is straightforward because the solution is already set up in the company. It was just a matter of requesting it and downloading.

We have a global package but I'm not involved in licensing and don't know the cost.

I had a look at Qlik but didn't get a chance to really evaluate the benefits from one platform to another, other than what you find on the internet. 

I rate the solution nine out of 10, there's always room for improvement.