Jagannadha Rao - PeerSpot reviewer
Lead Data Scientist at International School of Engineering
Real User
Top 10
Simple setup, reasonable price, and a wonderful solution for model building and visualization purposes
Pros and Cons
  • "From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like."
  • "I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."

What is our primary use case?

We use it for consulting and teaching purposes. We teach data science, and we use a data science tool. Most of the time, we use open-source tools, but we have also started to use some proprietary tools, such as Tableau. We will also explore other data science tools such as SPSS from IBM and SAS. 

We are using Tableau to teach students. We create a story on the data and teach them what kind of visualizations are more appealing to clients. The focus is on storytelling and what kind of visualizations are relevant for a specific business situation. 

We are using the latest version of Tableau, and it is deployed on my desktop.

What is most valuable?

From the data science point of view, we use it for model building purposes. For example, if we are using it for a bank and we want to understand how much loan the bank can provide, we can use visualization to show the educational qualification, salary, gender, and city of a customer, and by using this information, we can arrive at the loan amount that this person is eligible for. I can also use it to view all prospective customers, so essentially, this is going to help me in model building as well as in understanding and segmenting customers and doing forecasting and predictive analytics. 

We use model widgets, and we can create thousands of visualizations, such as motion charts and bubble charts. We can also create animated versions of the graphs and view the data from multiple dimensions. These are the features that we typically use and like.

What needs improvement?

I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau.

Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination.

For how long have I used the solution?

I have been using this solution for four to five years.

Buyer's Guide
Tableau
April 2024
Learn what your peers think about Tableau. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
771,212 professionals have used our research since 2012.

What do I think about the stability of the solution?

If I'm going to upload data of more than 10,000 records, then it might be unstable. With 10,000 rows and more than 100 columns, it really becomes shaky. However, this could also be because of the local infrastructure. For example, if I am using Tableau on my local machine with 4GB RAM, it might not be suitable.

What do I think about the scalability of the solution?

There has been no need for scaling. We are actually connecting to an Oracle Database or SQL Server database, and we can take whatever data we require. We have 40 people who are using this solution in our organization.

How are customer service and support?

We never took help from their technical support. We have experience in data science, and we know what kind of configurations are typically helpful. 

How was the initial setup?

Its initial setup is very simple. We get the Tableau license code, and with a couple of clicks, we can set it up. It doesn't take more than two minutes to install it on our machine.

What about the implementation team?

We implemented it ourselves. It doesn't require any maintenance for the purposes for which we use it. We use it for consulting and teaching purposes.

What's my experience with pricing, setup cost, and licensing?

Its price is reasonable. Everything is included in the license.

What other advice do I have?

Tableau is a wonderful tool, but you should know the proper methodology of using it and the specific situations for which it is helpful. This is very important. For example, we can use a knife to cut vegetables, but it can also cut my hand.

One should be able to understand the visualization that you are constructing in less than 30 seconds. Otherwise, the visualization doesn't meet the purpose. This is the benchmark that I have set myself.

I would rate Tableau a nine out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Program Manager at a non-profit with 1,001-5,000 employees
Real User
It allows us to understand and evaluate our numbers in an expedient manner.
Pros and Cons
  • "It allows us to basically understand and evaluate our numbers in an expedient manner."
  • "It is a stable solution."
  • "I would like to be able to set the parameters in a more specific manner."

What is our primary use case?

We have used it for our program correspondence, basically, so how to program report to satisfaction of different programs. It helps us obtain information. We also use it for visualization.

How has it helped my organization?

It allows us to basically understand and evaluate our numbers in an expedient manner. It doesn't require us to need a huge number of data bases that we need to manage. This solution sets everything up for us. It has a good ease-of-use.

In the past, we were using several different solutions, and the packages were insufficient for our needs. We used a lot of different software solutions, and extreme Excel, but it wasn't enough for our needs. We were also looking for something that was a bit more user-friendly. 

What is most valuable?

One of the most valuable features are the different visualizations. It makes it much easier for us to represent what the data is showing. The dashboard is great, and the visualizations are really what we focus on. 

It's as powerful if you know how to use it, so it's made as much as we know how to use it. It's enough, but there's much more of a need to understand what you do to operate the solution. To be able to do more, we need to set it up to do different things. It is fine, but we have not really invested time or people into doing this much.

What needs improvement?

I would like to be able to set the parameters in a more specific manner. I feel as if it's not a questions of whether the solution is sufficient, it's whether we understand how to use it to the best of its productivity.

For how long have I used the solution?

One to three years.

What do I think about the stability of the solution?

It is a stable solution. I think we can use it for a while for a lot of different things. Again, we do not know the full scope of the capabilities. I think we are using it the best we can, but we could find better ways for it to best suit our needs. So, we just need to learn how to use it more efficiently.

How are customer service and technical support?

The technical support is good. They give solutions to our questions. 

Which solution did I use previously and why did I switch?

We previously used Microsoft BI.

How was the initial setup?

I was not involved in the initial setup of the solution.

What was our ROI?

Most people buy software because they know that it will help them do one thing, but they use it a tenth of the potential of what it could be used for. So, if you don't know what that is, you're stuck at ten percent. Be sure to explore the full capabilities of the solution.

What's my experience with pricing, setup cost, and licensing?

The price is competitive. We always consider pricing when considering a new solution. We are a non-profit, and pricing is a huge concern.

Which other solutions did I evaluate?

We always like to evaluate other products in tandem with what we are using.

What other advice do I have?

When reviewing a possible solution, we always consider:

  • Price
  • Functionality
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Tableau
April 2024
Learn what your peers think about Tableau. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
771,212 professionals have used our research since 2012.
PeerSpot user
Business Analyst at a financial services firm with 10,001+ employees
Real User
Most of the configurations are accessed by drag and drop, so very little actual programming is required.

What is most valuable?

I have been using Tableau to visualize data sets. The three features that are most valuable to me are:

  • Ease of use. Most of the configurations are accessed by drag and drop, so very little actual programming is required.
  • Interactivity, especially the ability to use tool tips to identify exactly which points are plotting in an unusual or unexpected position. This is the first step in distinguishing outliers from important data features, which is an important part of data exploration.
  • The ability to easily annotate and export finished plots for presentation purposes.

How has it helped my organization?

I have previously used Excel or R to perform exploratory data analysis. Tableau is easier and quicker, which means results can be obtained more quickly.

What needs improvement?

Some of the command choices have to be memorized and are not intuitive. It could be even easier to learn.

For how long have I used the solution?

I have used it for about three months.

What was my experience with deployment of the solution?

No issues with deployment, except I wish a version was available for Linux (Ubuntu).

How are customer service and technical support?

I haven't needed technical support yet.

Which solution did I use previously and why did I switch?

I previously used R for data exploratory analysis. I'm choosing Tableau because it is quicker, and exploratory data analysis by its nature requires a large variety and volume of output.

How was the initial setup?

Initial setup was very simple; standard Windows installation.

What about the implementation team?

Just me... No problems. Just note that Tableau workbooks are stored in their own file structure by default, not in the file where the data originated or where the exported charts are stored.

What's my experience with pricing, setup cost, and licensing?

Tableau has a free trial, free versions for academic scholars/faculty, and a free public version. The paid versions are a little pricey, but likely worth it.

What other advice do I have?

There is a public version you can implement for free. Its main restriction is the variety of data source connections that it supports. You can still work with the typical text or Excel files, but live database connections are not supported.

I think it's great at what it tries to do.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user3768 - PeerSpot reviewer
Consultant at a financial services firm with 10,001+ employees
Vendor
Straightforward installation and modern interface, but not cheap for personal use

I spend most of my time with clients trying to get more out of their existing tools, more often than not some combination of an ERP tool (JDEdwards, SAP etc.) a selection of more “pure” databases such as Oracle, Access, SQL and a lot of spreadsheets.

All of these tools have well understood strengths and weaknesses. One common issue is the effort required for data visualisation. Just to be clear, when I say data visualisation, I mean the presentation of data in a graphic format so that trends, insights and results can be easily and quickly extracted by the reader.

Excel is fine, especially as most of us are very familiar with it, but it has definite limitations. Try putting 10,000 data points on a scatter plot or add interactivity to your chart and you’ll see what I mean.

I’ve taken a look at three tools that really caught my eye when looking for a client solution. There are 20 players in the 2011 Gartner review of BI tools. Many of these are 400lb gorilla solutions, like Cognos, some are more sector specific and others tend to be strongest in certain geographic areas.

Being a Brit, who wanted something strong on visualisation, quick implementation and didn’t want to build a data warehouse, the shortlist came down to:

  • Tableau
  • Qlickview
  • LogiXML

In this blog I’m going to look at Tableau. Over the next few days I’m going to add short reviews of Qlickview and LogiXML.

I’m not Gartner, so there may be some other contenders out there, but life is short so it’s these three that I’ll be testing over the next few blog entries.

Just to set expectation, I’m a data professional, but I’m not a coder or database specialist. I come to this as an “IT competent” management information specialist. I know the sort of output I want to see but I don’t like reading manuals or spending ages building things – much like my clients.

Installation

Installation of Tableau is pretty straightforward. You need to register on their site to get a two week trial period. You download a 51MB .exe file, double click it and in a few minutes you have a working installation of Tableau. It’s a Windows only affair. For this review I ran it as a virtual installation on a Mac which didn’t seem to cause any issues

First off the program asks you to connect to a data source. For ease I used one of the ready-made databases, but the connectors on offer look pretty comprehensive.


Tableau asks you to connect to a data source, including Excel of course

Interface

The interface is fairly busy, with a number of different areas on the interface. It’s all quite clean, logical and modern. There’s a tabbed workspace concept which anyone from an Excel background with instantly be comfortable with.


The chart creation interface will be very straight forward to anyone who has used Excel pivot tables

Applying the “man test”

Like many slightly vain middle aged men, I’m not too keen on tutorials and manuals. I dived into Tableau without reading any of the documentation. Within 15 minutes I’d figured out how to produce and tweak some pretty good looking graphs. I used the sample data provided by Tableau, which may have helped things along a bit.


Flashy geographic mashups are a doddle


This dull looking bar chart has hidden depths - you can click to drill down. It didn't require any configuration


Charts like this heatmap are quick and simple to create

To create a chart you just drag and drop the data items from the panel on the left into a simple table. It’s a lot like creating a pivot table in Excel, only a bit less impenetrable.

Another 10 minutes and I’d figured out how to produce a quite credible looking dashboard. So in terms of “ease of use” I’d give it 10 out of 10. I think it goes as far as you can with usability before you need to start throwing features overboard to simplify it further.


Not a great design by me, but it is a very quick and simple job to create this live dashboard

Features that really stood out

Creating charts: It’s so clearly the “sweet-spot” of this package that it’s easy to overlook the ease with which charts are created.

Drill down: It’s trivially easy to rollup or drilldown through data in the appropriate graph type

Unusual charts: Tableau can create charts that are either difficult or impossible to create in Excel. Heat-maps, graphical mashups (see this dental decay graphic one for a good example) and interactive charts are all possible. You can then post these on the inter/intra net for others to view.

Tableau was dismissed by one of its rivals salesmen as having “pretty graphs”. After a few hours with Tableau I think it’s fair to say that it has some of the best conceived “template” graphs I’ve seen in any package. Their blurb on their web site talks about “visual best practices are baked-in“ and they aren’t kidding. There’s minimal design clutter, clear layout and very spare use of colour. No 3d bars, shading or gridline clutter here. The type of design approach championed by Stephen Few has rarely been executed so well and consistently.

Sharing

The samples on the Tableau web site shows a good selection of ways you can share:

As a web page – you can drop a javascript code snippet into a page to create a web page or share a link

As an image, data download, crosstab or print to PDF

A download to the free Reader application

Samples

To get a good impression of what Tableau can do it’s worth having a look at their excellent selection of demo graphs. Although it’s not always obvious what purpose these graphs serve, there are some outstanding examples of rich, intelligent chart design. I particularly like this dental decay graphic and this flight delay graphic.

The key thing for me is that I actually enjoyed using this software and started working out whether I could justify the cost of a personal copy. Pricing is $999 for a desktop copy that can’t access databases, $1999 for the pro version that can plug into just about any data source – so for personal use it’s not cheap. As with most vendors, there’s no mention of the client-server version software costs, but it’s likely to be industrial grade pricing, like their competitors.

Where I see Tableau (and data exploration tools in general) really delivering value is in encouraging managers and analysts to take the terabytes of data that already exists in most organisations and spin it in new and insightful ways. So rather than just looking at the classic complaint volumes and complaint ages (for example) bar charts, why not start looking at complaint severity and customer segment, or complaint source by geographic source within the production area – as a visual heatmap' Many organisations have allowed their tools to define their ambitions for their analysis, with a tool like Tableau it’s an opportunity to be a bit more ambitious.

I’d recommend downloading a trial and giving it a spin.

Note: I have no commercial relationship with Tableau, so my view is as independent as they come.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Operations & BI Analyst at American Hospital Dubai
Real User
Easy to use with good drag-and-drop functionality and very stable
Pros and Cons
  • "It's very easy to set everything up."
  • "There's no mature ETL tool in Tableau, which is quite a negative for them."

What is our primary use case?

We primarily use the solution for our data visualization, our different types of data. It is linked to our normal data visualization. It's not usually related to the medical side of the business. However, it is related to the revenue, and financial accounting, and submission on the RCM side. 

What is most valuable?

If I compare Tableau with Power BI, I prefer Tableau. It's easier to use.

The solution has very good drag-and-drop functionality and the screens are easy to navigate. You can easily create measures and dimensions. It has a user-friendly layout that makes task completion simple. In comparison, in Power BI, all of these actions are quite cumbersome.

It is quite similar to Excel. If a person has good Excel knowledge, it will be quite intuitive to learn.

Tableau is the whole package.

The solution allows you to write in SQL and Python. We don't need to write the Python code and we don't need to write the SQL script. However, it is an option that's on the table.

The solution is very stable.

You can scale the solution well.

It's very easy to set everything up.

What needs improvement?

There is another ETL tool for Tableau that is new. It takes time to reach some level of experience. IN Power BI, they have Power Query. I find it easier to convert the information in Power Query with a single shortcut key. That's not an option in Tableau. 

You have to prepare your data. It will take a lot of time to clean the data. 

There's no mature ETL tool in Tableau, which is quite a negative for them. They need to offer some built-in ETL tool that has a nice and easy drag-and-drop functionality.

There needs to be a bit more integration capability.

For how long have I used the solution?

I've used the solution for about six months to one year. It wasn't very long. I used it at my previous organization. We're also using it at my current company. At this organization, we've only had it for about three or so months. It's quite new here. 

What do I think about the stability of the solution?

The solution is extremely stable. It's much more stable than, for example, Power BI. There are no bugs or glitches. It doesn't crash or freeze. It's very reliable. The performance is great. We've never faced any stability issues while using the product.

What do I think about the scalability of the solution?

I'm not sure how many users we actually have within the company. 

Tableau is one package and there isn't too much complexity. The main pieces are Tableau itself, Prep Builder and Tableau Server, and Tableau Mobile. Sorry, Tableau Online. These four are the most basic software pieces of Tableau.

Whenever you purchase Tableau, you will pay a bit more and more. You will have access to the four main software products. After this, there is no need to purchase something extra. Therefore, in Tableau, there is no scalability issue. In comparison, if you will to Microsoft, there is a lot of products - such as Power BI. There is Power Automate RPA and Power Apps and MicroPower Apps also. You will need to call to Microsoft and they will integrate this Power App with your account. It takes time. With Tableau, there isn't an issue like that. 

How are customer service and technical support?

We haven't had any sort of technical issues. They did assist us a bit at the outset. and they were very good. They are always online and easily approachable. We're quite satisfied with their level of service.

Which solution did I use previously and why did I switch?

We also use Power BI.

How was the initial setup?

The initial setup was very simple. It's not a complex process.

They have an excellent team here over at Tableau. They assisted us. 

The setup wasn't too difficult due to the fact that our system is not very complex. We work with rather simple data, which helped save us from suffering through many complexities. 

Maintenance is required at our database level. Our database is smart and lean, and therefore it's pretty straightforward. However long it takes for maintenance tasks is based on the level of data and on the heaviness. We basically do a sort of troubleshooting and some fine-tuning at the database level.

At the time of making visualization, we have to do some research to load everything properly on Tableau and have a refresh rate we can maintain. There should not be too much of a refresh rate every time. 

What about the implementation team?

We had Tableau's technical team help us here and there. They were great and we were satisfied with their help.

What's my experience with pricing, setup cost, and licensing?

The pricing is $70 per month. You have to pay about $800 or something in that ballpark annually for one license.

What other advice do I have?

We are a customer and an end-user.

We are currently using the latest version of the solution.

I would recommend the solution. If a company really wants to go for some easy solutions, and something that is robust and dynamic this is a great option. Microsoft's Power BI also has its advantages and could be a good option as well, depending on what a company needs. If Mircosoft offered a bit more, we might even consider switching over. However, for us, Tableau is the better option. 

I'm using Microsoft Power BI also. Therefore, personally, I see the importance of the ETL tool. Microsoft is also adding many items rapidly - with new features two or three times a month. Tableau isn't making such advances regularly. 

Many people are considering shifting from Tableau to Microsoft very seriously. Therefore, Tableau needs to begin to compete. They need to offer more integrations and invest in a robust and easy ETL solution. It would really assist in cleaning the data.

If a company wants to onboard Tableau, they need to have some sort of ETL tool on the side as well. If they don't, and they don't have SQL or Python, I'd actually direct them to Power BI - simply to get that ETL capability. However, if the data is ready, and no ETL is required, Tableau is an excellent solution. If you just need to visualize the data, Tableau is the best.

Overall, due to the lack of ETL, and the inability to effectively clean the data, I would rate the solution at a six out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
reviewer1545645 - PeerSpot reviewer
Data Management and Analytics Manager at a comms service provider with 1,001-5,000 employees
Real User
Expert SQL skills not required, easy to use, and flexible
Pros and Cons
  • "The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it."
  • "There could be improvements on the mobile application, it is lacking features."

What is our primary use case?

We use the solution to allow management the ability to create dashboards for our data center.

What is most valuable?

The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it.

What needs improvement?

There could be improvements on the mobile application, it is lacking features. 

For how long have I used the solution?

I have been using the solution for approximately one year.

What do I think about the stability of the solution?

I have found the solution to be stable.

What do I think about the scalability of the solution?

The scalability is good, we have 100 users using the solution in my organization.

How are customer service and technical support?

I am not satisfied at all with the support response, it takes a lot of time. Some tickets will take more than 10 days to have an answer, this is not helpful. There is some documentation that is very useful on their site. This is the worst support I have experienced, the support could definitely be faster.

Which solution did I use previously and why did I switch?

We were using Qlik Sense before this solution.

How was the initial setup?

The installation is straightforward. The time it took for the installation was approximately four hours. However, the configuration takes a lot longer but it is not a problem with this solution it is common for configurations to take a while.

What about the implementation team?

We did the deployment ourselves. We have a team of two administrators doing the maintenance for the solution and a team of four for the development of the dashboard. 

What's my experience with pricing, setup cost, and licensing?

There is a license required, we pay an annual license which is priced fair.

What other advice do I have?

I recommend this solution to others. We are satisfied with the solution and are going to keep using it in the future.

I rate Tableau an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Assistant Vice President at a tech services company with 10,001+ employees
Consultant
Good visualization, but the price should be reduced and the extraction of data should be faster
Pros and Cons
  • "Tableau is very good in the front-end visualization compared to Power BI."
  • "When it comes to large datasets, the data should be extracted faster."

What is most valuable?

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.

What needs improvement?

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.

What's my experience with pricing, setup cost, and licensing?

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.

What other advice do I have?

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.

Disclosure: My company has a business relationship with this vendor other than being a customer: partner
PeerSpot user
Rajdeep Biswas - PeerSpot reviewer
Technical Architect - Sr. Manager at Axtria - Ingenious Insights
Real User
Robust visualization, a functional UI, and it integrates well
Pros and Cons
  • "The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use."
  • "The data processing in Tableau is pathetic compared to Qlik."

What is our primary use case?

There are many and various use cases. Some use it internally for inter-department analytics, sales analytics, campaign management, and sentiment analysis.

What is most valuable?

The most valuable feature is the richness of its visualization and from a self-service standpoint, the ease of use.

The interface is fine. The functionality in the UI front is good as well.

It integrates easily.

From a UI visualization standpoint, I think it's pretty robust.

What needs improvement?

The data processing in Tableau is pathetic compared to Qlik.

In Qlik, I can replace my ELD layer for an application. This can't be done in Tableau.

The initial processing of data in Tableau takes a lot of effort.

If there could be a feature that a particular visual can be exported or just the data behind the particular visual can be exported in one single click, just one button on a visual and it exports the relevant data out to Excel or a CSV output, that would be good.

For how long have I used the solution?

I have been using Tableau since 2014, maybe even before that.

What do I think about the stability of the solution?

It's pretty stable.

What do I think about the scalability of the solution?

It's decently scalable. I have been able to scale it pretty easily.

How are customer service and technical support?

Technical support is good. On a scale of five, I would say four.

How was the initial setup?

The initial setup is neither straightforward nor complex.

What's my experience with pricing, setup cost, and licensing?

Pricing is not bad. It's competitive.

What other advice do I have?

I'm a BI Architect.

My recommendation for this solution would depend on the use cases.

I would rate Tableau and eight out of ten.

Which deployment model are you using for this solution?

Hybrid Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Download our free Tableau Report and get advice and tips from experienced pros sharing their opinions.
Updated: April 2024
Buyer's Guide
Download our free Tableau Report and get advice and tips from experienced pros sharing their opinions.