Tableau Enterprise Reviews

We use the solution for the client's management of KPIs; it involves monitoring various aspects. If they are a manufacturing company, key performance indicators revolve around production and other relevant factors.

The solution helps users create dashboards and analyze data without relying on IT or product teams. 

The tool's OpenAI integration was announced last year. However, it is late. Tableau is a good solution for end customers. However, there are some concerns regarding the stability and performance of its server architecture, including SaaS services. The server side appears unstable, and performance issues are noticeable, often accompanied by unclear error messages.

I have been working with the product for seven years. 

I rate Tableau's stability a nine out of ten. 

Our experience spans around 70 customers, covering manufacturing, pharmacy, trading, construction, universities, and the public sector. I rate the product's scalability a seven out of ten. 

The tech support takes too much time to respond.

I rate the tool's setup a ten out of ten. While setting Tableau servers for customers, we often encounter challenges that vary based on their network configuration and operating systems, such as Windows or Linux.

In Korea, the tool's pricing depends on the scale of usage. For instance, it's reasonable for a department with fewer than 50 users to adopt Tableau, like sales. However, the pricing becomes an issue when considering an enterprise solution for a larger user base, say 10,000 people.

Tableau is integrating OpenAI's GPT feature. It will help to create automatic dashboards with natural language. Only ten percent of our customers use Tableau in the cloud since they prioritize their data. They don't want to import their data to the cloud. It is as per their policies and security advice. Traditional companies don't like exporting customer data outside the organizational network. 

Japanese data centers often support Korea. However, the challenge arises from the absence of a federal cloud data center in Korea. Consequently, utilizing Tableau Cloud may result in data being exported outside the country. This is not allowed legally for financial entities such as banks. 

However, the government does not regulate smaller companies like startups. Hence, they are more open to the cloud. This is not the case for public entities. They should install the software in the government's cloud. 

Our clients for Tableau are mainly enterprise businesses. I rate it a nine out of ten. 

On-premises

As an administrator, I use the solution in my company to deal with customers' current deployments and help with the troubleshooting process in case of issues while keeping a check on the performance, like the coverage provided by the solution.

Tableau is a good product for some of the projects my company has handled, and we have also used it as a visualization tool. Considering how certain products work for customers and how their businesses function, it is easy for my company to use Tableau in such environments as it is a user-friendly tool.

The most valuable features of the solution are the permission management and the user management.

With Tableau, the only downside stems from its prices, especially in the country where I reside, which is Sri Lanka. When my company reaches out to new customers with Tableau's new costs, we find ourselves at a disadvantage. The price is an area where improvements are required.

I think Tableau plans to release some AI-integrated features in 2024 for one of our company's clients we had initially. My company plans to use the AI-integrated version of the solution when it is released. AI is one of the best things that I was hoping to have on Tableau.

The only issue with the solution is with its prices at a regional level. Integration-wise, it is a good product. Tableau always provides support to users. Tableau should introduce some special pricing for its existing customers, and it should be possible for the partners and resellers to provide such special prices to customers.

I have been using Tableau as an administrator in my company for four years. My company, which is in Sri Lanka, has a partnership with Tableau.

It is a stable solution. If the people who are working on the tool know about the product, then it's a stable solution. New people who have an understanding of the product can use its stable nature. Stability-wise, I rate the solution a nine out of ten. There is a possibility that the product crashes at times.

The product offers scalability or scaling out options, but at the moment, there is no demand for the product from the customers, and nobody is getting it deployed. In general, though it is a scalable solution, no one prefers using the product presently. Recently, I have only done two deployments of the product for our company's customers. The people who use the product are not satisfied with it.

The product's clients are major banks and some other businesses operating in the financial sector, meaning all of the tool's customers run enterprise-sized companies.

The solution's technical support was good. I rate the technical support an eight to nine out of ten.

Positive

The product's initial setup phase was not very easy as it was a little bit of a technical process about which I didn't have any experience. I rate the product's initial setup phase a six to seven on a scale of one to ten, where one is a difficult setup process, and ten is an easy setup process.

Most of the solutions I have deployed have been done on an on-premises model. For some new customers, my company has deployed the product on the cloud. If customers are okay with their budgeting part, I suggest they deploy the tool on the cloud.

For new users, our company can set up an environment. If the customer can provide an on-premises environment, we can set up Tableau in four to five hours. A single-node deployment takes around four to five hours, but if it is a marginal level of deployment, it might take a day or a day and a half.

When involved in the deployment, if there is some support from the customer's IT team, then only one person is required to take care of the deployment process.

I rate the product price in the Indian region a seven to eight on a scale of one to ten, where one is a low price, and ten is a high price. For the other regions in the world, the price of the product might be average. The additional cost attached to the product crops up when users plan to use the product on an on-premises model.

I recommend the product to those who plan to use it. Tableau is a good visualization tool for everyone, and it is also easy to learn, especially when compared with its competitors.

I rate the overall tool an eight to nine out of ten.

On-premises

We use the product to build diverse dashboards for a revenue authority. It helps us analyze taxpayer behavior to understand payment patterns and identify areas for improvement in compliance.

The platform's most important feature is predictive analysis. We can map taxpayers' locations with data and connectivity to databases and sources. We can forecast future trends using the visualization feature. These are a few features that make it unique.

The product's features for cloud integration need improvement. They should revise licensing and pricing models to cater to smaller enterprises. Users must be able to customize and write their code similarly to one of its competitors. Many companies have in-house data science models for Twitter or Facebook based on predictive analysis. There is a possibility of integrating these models seamlessly into Tableau.

We have been using Tableau for a year and a half.

It is a very stable tool. I rate the stability a ten out of ten.

We have 10 Tableau users in our organization. We plan to increase software usage.

The technical support team is very supportive.

We also work with Power BI and an open-source solution. In comparison, Tableau has a sharp learning curve. It is intuitive and easy to use. It has less deployment time and impressive visualization features. We can connect different data sources, including SQL, Oracle, etc.

The initial setup process is easy. It takes less than an hour to complete. I rate the process a nine out of ten.

The product's price is relatively inexpensive and manageable for enterprise-level companies. However, they could reduce the cost or offer discounts for smaller companies.

I rate Tableau a nine out of ten. It is a stable and powerful tool compared to Microsoft BI.

I use Tableau to understand how day-to-day business is going, where the gaps exist, and the KPIs. We use it for target analysis, identification, performance tracking, and financial metrics. 

The features I like most are data manipulation, Tableau Prep, the ability to do manipulation on the desktop, its connectivity to different and vast data sources, the capacity to handle such huge sets of data, and its flexibility to play around and create calculated fields and customized charts. LOD expression is also fantastic. Another useful feature is drag and drop, which means that if you're not into creating data manipulation, data comes very clean and clear to you, and you just have to drag and drop to create a job. This gives an upper hand to the end-user to work on the analytical tool and create their own dashboards. And even on the Tableau server, they can create their own metrics and publish them as a simple dashboard. You can create a view as per your user.

When you're working on a dashboard, you can't select multiple components at a time and align them, so you have to go one by one. This is very cumbersome if you're floating, and it loses in comparison to Power BI, which does allow multiple selections. In the next release, I would like to see an enhancement of the prescriptive analytics features.

I've been working with Tableau for a year and a half.

Technical support is more-or-less fine, though we have had a couple of cases where we weren't satisfied. We have had to ask our senior management to intervene sometimes because the support period has gone beyond fifteen or twenty-one days.

Neutral

I consider Tableau to be the best analytical tool available. It's really handy to use and can be used by non-technical people. For those thinking of implementing it, you can go with Tableau Online if you don't do too much data manipulation on the Tableau desktop itself. Try to keep it in a different layer of Tableau Prep and also make sure that your desktop is not heavy and leverage the features properly because Tableau offers a lot. I would give Tableau a rating of eight out of ten.

Public Cloud

Microsoft Azure

Overall, I am satisfied with Tableau.

When compared with Power BI, Tableau is much easier.

The charts need to be improved. The drawings and the visualization need to be more accurate.

I would like to see the visualization improved.

I have been working with Tableau for four months.

I am working with the most recent version.

So far, Tableau has been stable.

I can't say that it is scalable, as I am still learning.

Because I'm taking a data analytics course. I should begin with a product. At the moment, I am our company's only user.

I have not reached out to technical support. I haven't required any assistance. The guide was sufficient. I typed in Google and found the answer to every question I had, whether it was in a form or a guide itself.

Previously, I worked with Power BI.

The initial setup was easy. They have a guide available.

The deployment can take anywhere from an hour and a half to half a day.

I was able to complete the deployment, download, and installation with the help of the guide.

For me, for right now, the price is reasonable. Tableau is free.

You won't have to do anything if you read through the guide.

I would rate Tableau an eight out of ten.

Public Cloud

We use it in our parent company as well as in client companies. A few of our environments are on-premises, and a few are on Tableau Online. We have a mix of both.

The UI part is the best. The end-users can easily get started with Tableau Desktop or Tableau Online because of its user-friendliness.

I also work as an SME on the platform side. Tableau is very nice and jazzy for the end-users, but there are pain points for the admins. Performance is something about which we hear a lot of complaints, such as the dashboard doesn't open in time. It performs well on the desktop but not on the server. I know that there is always a limitation when it comes to a huge amount of data or the complexity of the calculations, but we often hear from end-users about the performance on the server side. It is easy to drag and drop all the columns and do what we want, but if it is not going to load better on the server, users are not going to like it.

Their standard support is not good. They should improve it. I don't know if it has anything to do with the acquisition, but lately, their support has not been great.

Their upgrades have always been an issue. They never work. 

Tableau is a little bit costlier than other tools such as Power BI.

They should make it easy to integrate with tools like SharePoint, Teams, OneDrive, etc. Its integration with Office 365 should be improved because most of the users already have tools like Outlook, Teams, and SharePoint, and they want to integrate a reporting tool or a visualization tool with their existing tools. 

It is very easy to integrate scripting in Spotfire. We can do a lot of changes in the UI by writing some scripts. That could be something that Tableau can look into. They can also consider providing APIs, but most of the people who work with Tableau do not really work much on the scripting side. So, I am not sure if it is feasible or required technically.

I have been using this solution for almost eight years.

It is scalable for online and on-premises versions. With the online version, they take care of the load, and we don't have to worry about that. For on-premises, initially, we used to have core-based licensing in which we had a cap on the number of cores we could expand to. We then moved to user-based licensing, which makes it easy to scale.

In our parent company, we have close to 200 users. We also have two clients on this platform. One of the clients has about 400 users. For another client, overall, we support close to 20K customers on this platform. That's one of the biggest environments.

Their premium support is really good, but their standard support is failing. Their standard support is the worst. We recently had an experience where we waited for more than seven days for a ticket to be picked up. It was vacation time, and there were a lot of factors, but their standard support is not good. For a few of our clients, we do have premium support, and they respond to any issue because we include the technical account managers in the communication.

Comparing it with Power BI, the main differences are the cost and the integration with Office 365. It is very easy to integrate Power BI with Teams or SharePoint because they all belong to the same company, whereas with Tableau, I have to integrate it with a third-party vendor. It is a little tough to integrate Tableau with SharePoint or Teams. Nowadays, everyone wants everything in one place; it could either be in SharePoint or in Teams. 

I have been working with Spotfire lately, and it is very easy to integrate scripting in Spotfire.

The Tableau server-side used to be very good initially, but for the last year, we are having issues with the upgrades. Their upgrades never work. We always get stuck while doing the upgrades, and we end up taking a different approach. We take the data and keep it somewhere. After that, we wipe out the entire server and install it again. We then restore the data into that environment. 

In terms of maintaining this solution, I used to belong to level three (L3) support till last month. We were only handling the performance issues and any issues that need RCA. The L3 support used to have close to five people. L2 support, which usually included adding a user, removing a user, adding a new group, and providing usual production support, was taken care of by the Ops team. They used to have more than five people on the team.

Cost is where tools like MicroStrategy, Power BI, or Spotfire come into play. Cost-wise, Tableau is a little bit costlier than other tools such as Power BI.

I have been using Tableau all these years, but about four years ago, Power BI came out at a very low cost. Their desktop version was free from the beginning. Power BI Desktop has always been free, whereas Tableau Desktop is costly. When it comes to cost, people prefer Power BI because it integrates very well with Office 365. You don't have to worry about integration with Teams or SharePoint.

It is easy to use for most business users, but before using it, you should understand the basics of dimensions or measurements. If you directly come to this tool without understanding the concepts of warehousing, dimensions, and fact tables, you would not get what you want. This applies to any reporting tool. You should have a basic understanding of what data warehousing is all about and then get started with the tool.

I would rate it an eight out of 10. Tableau has always been at the top of my list. Because of the technical hold that I have on the tool, I always prefer Tableau. It would always be on top as compared to any other tool.

I work in the hospitality industry and I use Tableau Online and Tableau Bridge with our food ordering company. In our specific uses, I have found that Tableau is very good for extracting data, rather than for working live on the data.

Although the process of transferring data to Tableau isn't the best, once the data is already on Tableau, it works completely fine. I will typically make use of layer aggregation and other operations such as slicing and analyzing it by getting right inside the data in various ways.

Due to the demands of our industry, we always have things that we would like to see more in-depth over different dimensions, such as restaurants, branches, cities, and so on. With Tableau's help, our company can aggregate all the raw data and then analyze by rows, to see, for instance, which restaurant is doing the best by comparing them with one another. It also enables us to easily split areas into zones and use the data to test for not only which restaurants are doing the best, but also where (i.e. in which cities and branches). 

Although Tableau isn't the best for us when it comes to processing and working on live data, it is very good at extracting data for analysis. Once you have extracted the data, the aggregate layers you can create, along with slicing and other operations, are very handy. It allows us to really get inside the data, and it is, in my opinion, better than any other tool I have used with the same pricing model.

Of the best analysis features, multi-aggregation layers come out on top for me, because they let you extract raw details while making multiple aggregations on different time levels and different dimensions, and you still manage to get your work done quickly without having to load a lot of data grouped over different dimensions.

Tableau Bridge is also a very good tool, however I can tell that it does need a few fixes and some maintenance. That said, it's still good for its first few years since release.

Most of the problems in Tableau Online that I have noticed have to do with performance or weird, inexplicable bugs that I can't pin down. For example, you might try unloading some data, and you'll be waiting for a long time without anything happening.

These bugs always seem to happen when we perform big upgrades or do maintenance work, and we have had to send a lot of tickets for unexplained issues during these times. It doesn't seem to be a problem only for us, but also for customers all over the world, such as in Ireland, Western Europe, Eastern Europe, and the US, too.

As for future features, I would like to see major upgrades in Bridge and the Flow Tool, allowing us to do more data engineering work. I think it would give Tableau a big edge in the market to look into how to incorporate more data engineering tools into their product. 

Besides that, I would also like the charts to be more realistic and easier on the eyes.

I have been using Tableau Online for three years now.

The stability is okay. It's not 24/7, but you can say it's stable enough. In the start, it's more stable, especially compared to our OBIEE problems, which have taken two or three days to solve in the past.

It's easy to contact Tableau and ask to increase users or resources. They'll do it in the blink of an eye.

At present, we have 20 users, 12 of which are shift users. The majority of our users in total are board members or high-level managers. 

I wouldn't give their support more than a seven out of ten rating.

I have previously used Power BI, Qlik Sense, and Qlikview. I switched because Tableau was better in working with different sources compared to Power BI which was the only one that was truly on par. Qlik Sense and QlikView were easy to use but didn't have most of the features that Tableau and Power BI offered. Then there's OBIEE which I have used for the past two years, but it is quite difficult for non-technical users.

I also didn't like that Power BI is typically coupled with Microsoft Azure, whereas Tableau works well with AWS and Google which are a lot easier. 

The setup is straightforward. I mean, there's not much setup at all. It's easy for any mid-level user to do it. For example, I just used the documentation they provided and did everything myself. The documentation was sufficient
and the implementation strategy doesn't take more than 20 days.

I implemented Tableau by myself using the documentation they have made available. And for maintenance on one single node, you might need only two to three people involved.

For data extraction and analysis, Tableau is better than any other tool I have used with the same pricing model.

My ultimate advice is that you should know what the tool is capable of first and what your needs are. I think it's better to use the Server edition, and not Cloud, because there are a lot of problems in the Cloud version that don't seem to be present in the Server version. As for myself, I will likely switch to Tableau Server next year after doing a bit more research on how to do the changeover.

I would rate Tableau an eight out of ten.

Public Cloud

We use Tableau for data analysis. We integrate 15 sources of data and then that data is brought into AWS. From the AWS, the data is uploaded onto a dedicated Tableau server where we have all our dashboards running. We then run code on the data to return results, such as the regression and causation.

The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature.

There is a lack of visualization in Tableau which could be improved. For example, if you want to do a Sankey in Tableau, you have to do a lot of work to do it. Sankeys are available, they are for sale for a minimum of $400, which is out of the question. Whereas if I wanted to do a Sankey, it is simple for me to use a free visualization and put in the data, and from what I already have, receive a fancy Sankey.

Whenever it comes to specialized visualization, Tableau is an absolute failure.

The integration between Tableau and our statistics software or other software, such as Python is very loose and undefined. If they improve that it would be a benefit.

I have been using Tableau for approximately two years.

The solution is stable.

If I have web analytic data on session IDs, Tableau or Power BI both fail miserably in scalability because you are not able to go on a session-level and have 18 million rows fire up visually.

We have approximately 100 users using the solution.

The initial setup is simple.

We had a local team of two technicians that do the implementation and maintenance of the solution.

We are on an annual license which costs us $1,400 which is very expensive. Microsft BI is less expensive.

I have evaluated Microsoft BI.

The reason why we are not getting rid of Tableau is because of legacy reasons. Legacy, meaning it is being carried over and our organization does not have time and energy to transfer everything to Microsoft BI.

I will not give any credit to Tableau or Power BI for the very simple reason that everything is in the hands of the developer of how you visualize the data. There is not any magic in what Tableau is doing, the magic is from the developers who are creating the visualization. Any visualization tool which gives that capability sets you apart.

I would not use Tableau if I am working out of a financial organization because it is lacking fancy visualization. However, if I was a bank or a government organization where I am only looking at trend charts and bar charts I think Tableau comes out ahead of other solutions, such as Microsoft BI.

I rate Tableau a five out of ten.

Private Cloud