Tableau Enterprise Reviews

Tableau is very good in the front-end visualization compared to Power BI.

The look and feel of Tableau are the best when compared with Power BI.

Power BI meets with my expectations but the wow factor is in Tableau.

An issue that is common to both Tableau and Power BI is with large data sets. When it comes to large datasets, the data should be extracted faster.

Tableau should offer the end-user a desktop version that is free where they can go in and practice. There are other solutions that offer it for free such as Huawei, and the desktop version of Power BI is also free.

People tend to know if they want to learn visualization. They don't have a proper tool in place, they don't know how to or where to go to learn. If you give them the tool to learn and let them explore when they want to go into production, people are able to purchase the license. A 14-day trial version would not be enough time.

If they want to be competitive in the market, the price must be improved.

They should allow more than a 14-day trial version. It should be a longer duration otherwise no one will want to learn it.

Tableau is $35, whereas Power BI is only $9.90. Tableau is not competitive and should reduce its price.

SQL is the most important. Writing SQL queries is very important and that's the first foundation I would recommend for any juniors to start.

If they're not very strong in SQL then they will not be able to write the functions for both Power BI and Tableau. SQL is the foundation for anything.

I would rate Tableau a seven out of ten.

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.

I primarily use the solution in order to utilize the graphs. It offers a good diversity of graphs and I can manage different data sets together with Excel. I can publish it for my manager, if, in the future, I'm going to use it at work. 

The solution offers good capabilities in terms of responding to my requirements. My dataset is so small and I don't need any complex graphs. It makes it very simple.

The solution is very stable.

The initial setup is quick and easy and you don't need special outside assistance to set everything up.

The integration with other program languages, like Python, needs to be better. I know the capability is there, however, there needs to be better integration. There needs to be integration for machine learning and AI. That would help data analysts and data scientists quite a bit.

I've only been using the solution for a few weeks at this point. I'm working on gaining some experience and familiarity with the product.

I've found the solution to be quite stable and reliable so far. I haven't used it long, however, I can't recall it crashing or freezing. I haven't experienced bugs or glitches. Its performance is good.

There might be about 20 people in our organization that use the solution.

I'm not sure if we will continue to use the product. Currently, I've only used it for a few weeks, and I'm learning it. However, our organization seems to like to work with Oracle. I'm not sure if we will focus on that or not in the future.

I've never used Oracle's technical support in the past. I can't speak to how well they help users with issues or how fast they respond.

I've worked a bit more with Power BI.

Our organization also works with Oracle's Analytics.

The installation was very, very easy. I didn't have any issues at all. It wasn't complex.

The deployment took less than 15 minutes. It was very fast and seamless.

I handled the implementation myself. I only had to download it onto my own PC.

Our company hasn't yet made a decision on the product in terms of long-term usage. I'm not sure what the licensing status is at this point.

We're just potential customers and end-users of the product. We don't have a business relationship with Tableau. I'm very new to the product and still really just testing it out to see how I could potentially work with it in the future.

I'm working with the latest version of the solution.

Overall, in my short time using the product, I've been largely happy with the results. I'd rate the product at an eight out of ten.

The primary use case of this solution is for the BI daily usage and all of the KPI for analysis.

It does many things.

The most valuable feature is the aggregation function.

It will be good if the server could be more stable, and I would like to have the technical service to be more reliable. 

I would like a better response time without having to wait for a week just to get feedback.

I have been using Tableau since 2016.

We update often and are using the latest version for both the server and the desktop.

I think currently we are suffering a lot of technical issues.

I am not sure if this is something encountered by other companies, but currently, the Tableau server is not really stable. We have many interruptions in the Big Tree.

It may not be related to the project directly, but because the server itself is not stable, it can impact everything, such as the performance.

We have more than 10 users in our company who use this solution on a daily basis.

We allow everyone in our company to use it. We don't really need to scale it. We use it as a platform to share the company's performance. It's not something that is being used by the entire company already.

Technical support needs improvement. The response time is very poor.

We have contacted technical support several times, but the response time is really slow. Sometimes, it can take up to one month to solve any issue.

Previously, we had not used another solution.

The initial setup was not straightforward. It was complex.

It was hosted within our own server. When we set up the Windows server, installed the product, and did the configuration on our end. It was complex, but not extremely complicated.

We implemented this solution in-house within the company, but the maintenance is done by the supplier, which is Tableau. They will update their products from time to time and all that we need to do is install the latest version.

It's an annual fee with everything included but it's quite expensive.

It's hosted on the Tableau server and hosted within our infrastructure and hosted in AWS.

I would recommend this solution to others with the understanding that they will not receive an instant response from Tableau technical support.

Also, because of the pricing, it may not be something suggested for a startup company.

I would rate this solution a five out of ten.

Tableau is good for data analysis.

The most valuable feature is the geographic data analysis.

It provides functionality for sending email alerts.

The performance is good compared to some other products.

It should offer better features for customization. It would be nice to have features such as border design.

I have been working with Tableau for three years.

This is a stable product.

The technical support is good.

I have worked with Pentaho and Microsoft BI. I found that the performance of these products didn't compare with that of Tableau.

The price of Tableau is high, although there are different types of licenses available.

I would rate this solution an eight out of ten.

We use the solution to capture all the data from the business, we use it for many things.

It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it. 

Some of the functionality of the dashboard can be difficult to operate and the color pallets are limited. They need to improve the icons and the filters, because they look too old, resembling Excel from 1997. It would be helpful if the solution was less difficult to use.

The stability was good, it worked well.

The scalability is not the best because the software is complicated to learn, this limits the number of people using the product.

I did not use the support. However, there are many different platforms out there, such as forums on the internet, that you can get information that you require for assistance.

The setup is really easy but it is hard to use it.

The deployment is easy, it installs like a standard piece of software would.

The solution is very expensive. If you have many users then it is going to cost your company a lot of money.

When purchasing the product, start out by only getting a minimal amount of licenses. This solution is not like Microsoft Office where many people know how to use it and can learn fairly quickly. This solution takes time to learn, buying too many licenses could be a waste of money if you do not have employees that can use it. Additionally, when you are using the solution work closely with stakeholders to make sure what you are processing what they are looking for by using the mock-up feature. If you do not then you could have completed a lot of work that they did not want.

I rate Tableau a nine out of ten.

The most valuable feature is the ease of use.

With Tableau, there is a gap in its ability to handle very large-scale data. I would like it to be similar to the rest of the solutions, which can handle terabytes of data.

We have used Tableau within the past year.

The stability is good.

Tableau is not as scalable from an enterprise perspective as some of the other tools out there.

I've had no problems so I have not been in contact with technical support.

In addition to Tableau, we're a licensed Cognos user and we also use Microsoft BI.

The initial setup is pretty straightforward.

I deployed it myself.

I would rate this solution an eight out of ten.

It's a very good, flexible product, and it's easy to learn.

It's a new technology, so it's easy to get somebody up and running.

Scalability for large amounts of data needs improvement, as well as its performance.

From a scheduling perspective, if there is a sync up of the desktop dashboard into the server that we can publish as a web version, in an accessible way, that publishing scales and keeps on executing for hours. This can go on for eight to nine hours, but you have no indicator, you don't even see that it is processing. For example, there is no spinning wheel and all I see is a black screen.

The interface can be improved, in part because there is no indication that something is running or that it's processing. I would like to have some kind of indication that there is something processing on the interface.

Technical support could be faster or if they have any limitations of the product, they should openly communicate it. They could also just tell you that this product is intended for small volumes of data and may even suggest another solution.

We have been using the latest version of Tableau for several years.

As far as using low volumes of data, it is stable. If the data is too large then it becomes a problem.

From a data perspective, the problem with scalability is after a point in time, the data becomes very large. For example, there is a way to sync the data and bring it to the desktop, and if the data is going to be seven GB or more, that is a huge amount of data and creates a problem with Tableau.

Based on our customers, we have different licenses. We have approximately 15 different customers.

Technical support is fine, but it could be better. When we reached out with the large amounts of data, we were not provided with the correct solution.

We started with Tableau.

The initial setup was straightforward. There were no issues.

It's a very simple installation, it doesn't take a lot of time to deploy.

We did not use a consultant, we implemented ourselves.

We have a single person team for installation and maintenance.

We plan to continue using this solution and I can recommend it.

It's a good product but large volume data is an issue. Maybe people will have to work around it to make it smaller. It requires splitting up the data into smaller data files or we need to find another way from Tableau itself. They may have another scalable product, that can be used for large amounts of data.

I would rate this solution a seven out of ten.