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reviewer1258353 - PeerSpot reviewer
Lead of Business Intelligence at a energy/utilities company with 10,001+ employees
Real User
Good visualizations, and it is easy to create dashboards, charts, and graphs
Pros and Cons
  • "It is very easy to create dashboards, charts, and graphs."
  • "The Hyper Extract functionality is not as strong as that provided by Microsoft SQL."

What is our primary use case?

We primarily use Tableau for reporting and visualization. Visualizations are important to us.

My role is primarily concerned with financial planning and financial reporting. 

What is most valuable?

It is very easy to create dashboards, charts, and graphs.

What needs improvement?

The Hyper Extract functionality is not as strong as that provided by Microsoft SQL.

Tableau is not as strong as Oracle OBIEE in some regards.

For how long have I used the solution?

We have been using Tableau for six years, since 2014.

Buyer's Guide
Tableau
March 2025
Learn what your peers think about Tableau. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
844,944 professionals have used our research since 2012.

What do I think about the stability of the solution?

Tableau is quite stable.

What do I think about the scalability of the solution?

The scalability of Tableau is very good and I don't have an issue with it.

How are customer service and support?

I have not dealt with technical support personally. We have a specific person that communicates with them.

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

We also use Microsoft BI and Oracle OBIEE for reporting. I think that Tableau's features are much better than those of OBIEE and although Microsoft BI has better performance, Tableau is still the one that I like the best.

Tableau is much more expensive than Microsoft BI.

How was the initial setup?

The initial setup is not complex. This is one that I can set up on my own, unlike a solution such as EnterprsieOne, which I cannot.

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

The professional version of Tableau is quite expensive. This is in comparison to some other products, such as Microsoft BI, which is only $110 per year.

What other advice do I have?

I would rate this solution an eight out of ten.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user251337 - PeerSpot reviewer
DHS HQ at a government with 10,001+ employees
Vendor
Good for quick visualization and being able to quickly consume unstructured data, but not so great when it comes to data exchange/integration and data mining
Pros and Cons
  • "It’s good for quick visualization and being able to quickly consume unstructured data to play around with."
  • "It is not so great when it comes to data exchange/integration, data mining, etc."

What is most valuable?

It’s good for quick visualization and being able to quickly consume unstructured data to play around with. This is good way to show a demonstration/prototypes of dashboards and scenarios for design discussions on reporting requirements or to show what the data is telling us when it comes to features of data integration, OLAP services, data mining and extract, transform, and load (ETL) capabilities.

How has it helped my organization?

Good for adhoc visualization of an unstructured dataset which comes from other sources outside of source systems that you can overlay on top of the structured data and you have to get a quick visualization dashboard prototype going. It helps with the Agile design build and can be used in our current operations analytics work to overlay multitude of data sources that we know of. Can always work offline, which is nice. It’s good for organizations with very limited staff to do quick report builds and dashboards that can be put on our SharePoint site for sharing or on reports when responding to data caps. I use it a lot for design discussions so I can communicate the gaps in data sources for data exchanges or to generate a storyboard prototype of how the data is to be used in visualization but where we need to have data exchange/ETLs on.

What needs improvement?

It is good for its use if ad hoc, offline, or needed for quick turnaround on reports/dashboards. It is not so great when it comes to data exchange/integration, data mining, etc. I rely on what’s available in current versions to see what APIs and plugins that I can use and they have Open Source on GitHub is a plus to share things to re-use.

Room for improvement is more on data integration features that are agnostic to any solution platform but can be plug and play to be able to reuse what was built out Tableau in any other platform of work.

For how long have I used the solution?

Over five years, and the past three more for integrating the use of a similar family of tools where Tableau is one of a few options in our environment, where these services are considered for quick-hit items as needed, given time, dollars, and analyst skills.

What do I think about the stability of the solution?

No.

What do I think about the scalability of the solution?

Yes, see other answers. Scalability per user defined elements are okay but not so much for enterprise wide reuse. Per license cost can have some work done to it to make it more affordable on the recurring maintenance end of things. I would like to see more subscription based models.

How are customer service and technical support?

I don’t have to use it much since I can get much of this through current site materials and social media blogs/videos.

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

I didn’t switch. It was just a matter of seeing where Tableau makes sense as a service to use in our environment, which is for the simpler, not so complex, but quick turnaround. Worked with other technology stacks that are similar, like Information Builders, SAP, Microsoft, Oracle, SAS, MicroStrategy, IBM, Salesforce, Qlik, etc. I find Tableau the easiest on visualization and its license model straightforward. But when it comes to scaling to other interoperation work, not so great on the wizard template, to do data mining/exchange. It doesn’t have that robust analytics and intelligence self-learning feature that comes with other tools.

How was the initial setup?

It’s straightforward, like any typical software. You have just got to understand what the various versions of API and plugins and what they can do. Though I have noticed that there were situations where it was said it was able to do things, but not until a later version. It needs better communication on that front.

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

License small scale and run with it to get a business case going on its use. Give the licenses only to those analysts you want to do quick turnaround visualizations and those that know the data sources/data (those that don’t will just have access to tool and that compounds a problem with giving you something nice to look at but no meaning behind it, which I wouldn’t recommend). Look to existing platforms of one’s current BI environment and see if you can have a server license which can reduce the per user licenses.

I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually, rather than buy straight up licenses that you lock to a baseline version and have to pay for upgrades later on. It limits how many users you can get on the thing, and it's not like you will use it all the time.

Which other solutions did I evaluate?

Yes, we did an alternatives analysis of all the product line options against our criteria of need in our environment, where recurring cost, time to implement, and other interoperation, security, platform scalability, architecture, etc. factors play a role. The majority were mentioned above.

What other advice do I have?

We always have the latest versions of Tableau (part of the package deal), so we can have the latest in APIs and integration hooks and plugins needed across our platforms of OBIEE, SQL, etc.

Tableau is good for quick visualization once you have the data, but not such a great interoperable tool or getting to multiple sources without a lot of work and know-how. Good for pulling in unstructured data and doing quick reports/prototypes. Does require some stronger business analytical skills rather than your novice user (and technical with regards to use of API and plugins).

If new to the analytics/BI market, use it, as it's good for getting you jumpstarted to understanding your data/data sources and to envision what you can use the data for. It's a good starting tool for that. If more advanced or need it for interoperation, I suggest looking to see how it fits with your current environment and determine where best to use it as it shouldn’t be your only option as the features are not robust enough to scale for everything.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Buyer's Guide
Tableau
March 2025
Learn what your peers think about Tableau. Get advice and tips from experienced pros sharing their opinions. Updated: March 2025.
844,944 professionals have used our research since 2012.
PeerSpot user
Data Analysis Team Leader at Viber
Real User
There are some best-practice shortcuts for tables, which can facilitate implementation.
Pros and Cons
  • "Easy for beginners to use"
  • "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."
  • "Lacks machine learning algorithms that you can implement using R, SPSS Modeler, and Python."

How has it helped my organization?

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.

What is most valuable?

  • 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.

What needs improvement?

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.

What do I think about the stability of the solution?

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.

What do I think about the scalability of the solution?

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.

How are customer service and technical support?

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.

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

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.

How was the initial setup?

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

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

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.

Which other solutions did I evaluate?

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

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

What other advice do I have?

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.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
Aruna  Basnayake - PeerSpot reviewer
AGM - Digital Engineering & Strategic Solutions at DMS Software Technologies (Pvt) Ltd.
Reseller
Top 20
Scalable platform with a straightforward initial setup process
Pros and Cons
  • "Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards."
  • "There should be stronger data modules for the platform."

What is our primary use case?

Our clients from different industries use Tableau for data visualization purposes. 

What is most valuable?

Tableau's most valuable feature is its ability to connect with various data sources and display real-time data on three different dashboards. It stands out in handling and utilizing data compared to other products like Oracle BI.

What needs improvement?

There should be stronger data modules for the platform.

For how long have I used the solution?

We have been using Tableau for the past one and a half years.

What do I think about the stability of the solution?

The platform is relatively stable. I rate its stability a nine out of ten.

What do I think about the scalability of the solution?

The platform is highly scalable. I have five clients, and the total number of users across all clients is around 300 to 400. I rate its scalability an eight out of ten.

How are customer service and support?

The platform's technical support services require improvement. There should be enough support during the deployment.

How would you rate customer service and support?

Neutral

How was the initial setup?

The platform is deployed on the cloud and on-premises. Its initial setup is straightforward. It took about an hour or two to deploy. I rate the setup process as a nine out of ten.

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

The pricing of Tableau should be better to remain competitive in the market, especially when compared to alternatives like Power BI. By adjusting the pricing, it can appeal to a broader range of markets and attract more customers.

What other advice do I have?

I rate the platform an eight out of ten.

Disclosure: My company has a business relationship with this vendor other than being a customer: reseller
PeerSpot user
Manager at Accenture
Real User
User-friendly, flexible and able to handle huge data sets
Pros and Cons
  • "I consider Tableau to be the best analytical tool available. It's really handy to use and can be used by non-technical people."
  • "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."

What is our primary use case?

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. 

What is most valuable?

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.

What needs improvement?

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.

For how long have I used the solution?

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

How are customer service and support?

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.

How would you rate customer service and support?

Neutral

What other advice do I have?

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.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Microsoft Azure
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
PeerSpot user
Director at Decision Science
Real User
Top 10
​Data is easily understood at all levels of the company
Pros and Cons
  • "Partner support is very good."
  • "Tableau is a company that does not respect partners."

What is our primary use case?

Creates data visualization for final users, then shares these visualizations throughout the entire company.

We offer Tableau as a product. As a partner, we recommend it to our customers. We use it internally to manage all our KPIs and services, so we also use it as a customer.

How has it helped my organization?

  • Data is easily understood at all levels of the company.
  • Business insights are shared across various departments.
  • They allow you to quickly mount decision scenarios, and point you in the right direction of issues.

What is most valuable?

  • Its ease of use and ability to convert drag and drop gestures into queries.
  • The ability to create complex calculations.
  • The completeness of things you can do.
  • It has a very nice dashboards.
  • You do not need a technical background to fulfill your business needs.

What needs improvement?

  • Conditional formatting could be an interesting feature to provide to final users. It is a long-term request of our users.
  • The data preparation/blending options are very basic. They could be improved.
  • More willing to hear customer/user suggestions.

For how long have I used the solution?

Five to ten years.

What do I think about the stability of the solution?

No stability issues. I never had it crash my computers. The stability is awesome.

What do I think about the scalability of the solution?

It can be achieved, but it is not what most companies focus on. You can have a huge server with core licenses. You can have a lot of users using and consuming information and dashboard use it continuously, but the thing is to still have a PC or text components, which is the weakest link in the chain. 

Scalability may be good. Not awesome, but good.

How are customer service and support?

Tableau's support could improve.

Partner support is very good.

In five years, I have been working with Tableau. I have used technical support only one time. They did not complete what I needed. I figured out the solution myself, but I understand this may be due to my own expertise. However, in general, our customers are very satisfied with the support.

I would rate technical support as an eight out of 10.

How would you rate customer service and support?

Positive

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

I used Cognos, BusinessObjects, and QlikView. I switched because of the paradigm change to self-service capabilities and ease of use.

We also have a lot projects to change previous tools. For example, we replaced six Enterprise QlikViews in six different companies which had been working there for six or seven years.

How was the initial setup?

The initial setup is very simple and the deployment is easy. Both tools (Desktop & Server) have a very simple wizard.

The typical installation from Mexico to Argentina, which is the market that I serve, is very easy to perform.

What about the implementation team?

Both. Expertise on this tool is very high throughout all of the Tableau ecosystem.

What was our ROI?

It is very high, but it requires a data preparation/blending tool.

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

Tableau's licensing is pretty straightforward and simple. 

However, Tableau is a company that does not respect partners. Tableau is a company that overlaps and steps onto the partners' total deal. We had a very good example in Panama with one of the biggest companies in the country. They stepped in without notice, without having a partner laid out. The company turned down the deal and took it another year and a half to resurface. Finally, when it was close to closing, Tableau stepped in and messed it up. That is a common behavior of the boss company in Latin America.

Which other solutions did I evaluate?

Power BI, which was in its early stages at the time, but now sprawling across Latin America. Yellowfin, who we are a partner with now. We are now looking at Birst.

We chose Tableau because they were the whole package at the time.

What other advice do I have?

Do not hesitate to implement Tableau. You will not regret it if you are looking for a visualization and discovery tool.

Most important criteria when selecting a vendor: 

  • Customers' experiences
  • Transparency
  • The financial stability of the company.

Which deployment model are you using for this solution?

Hybrid Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other
Disclosure: My company has a business relationship with this vendor other than being a customer: My company is a Tableau Partner.
PeerSpot user
Founder and CEO at Information Age Consulting
Real User
User-friendly and flexible with a good interface
Pros and Cons
  • "The ability of filtering and segmentation of the data makes it very flexible compared to other tools."
  • "I would like to have the product be more flexible in terms of creating online shared dashboards."

What is our primary use case?

We primarily use the solution for data visualization and data analytics. I normally use it for analyzing data from social media, for social media analytics, mainly Twitter and data from the Twitter API. I use it to analyze what is being said on social media and also to look at the interaction on social media on specific topics. 

I also use it for educational purposes. I analyze the data from student information systems to check about their student progress and provide visualizations about this data.

I create a lot of dashboards, mainly using these tools. 

How has it helped my organization?

Tableau helped our organization to provide our ckients organizations with cloud-based  Data Analytics service. Through using the Tableau's anilities in the field of Data Analytics, and Data Preperation & Transformation, and Data Visualization
we collect, cleanse, transform client’s data and discover insights and patterns in this data. Using Tableau, we help our ckients to improve the way data is utilized to support the decision-making process, enhance strategy implementation, and apply KPI monitoring within the business process. Tableau helped us to provide our clients with data driven decision making power through utilizing high quality  data analytics and vizualization so that they can continue to comply with the standards and best practices in teir field of business.

What is most valuable?

The solution is very flexible. The ability of filtering and segmentation of the data makes it very flexible compared to other tools.

The ease of use is great. It's a good platform from an ease of use point of view. It's easy to use and easy to learn. The learning curve is not difficult to grasp. 

The user interface is very friendly. The onscreen help, and also the resources that Tableau provides, including training videos, a support website, and knowledge base, are very helpful. 

I use the Tableau training portal and I found it very enlightening. It provided me with online training and certifications. I use it mostly for strengthening my abilities in Tableau.  

I like the way it integrates with multiple data sources. The data blending aspect of Tableau, in which I can blend and merge data from multiple sources, is great. I found that the things that I was doing previously, such as using SQL or other tools over the course of hours I can do in Tableau within minutes. Instead of doing my job using SQL with multiple queries and instructions, now I can do it in Tableau in minutes.

Its ability to handle large amounts of data is very important. 

The initial setup is easy.

What needs improvement?

I would like to have the product be more flexible in terms of creating online shared dashboards. When I need to publish a public dashboard, I use Tableau Public. However, I don't find it flexible compared to Tableau Online, which is the paid version. Tableau Public is a free Tableau portal in which I can publish my data, however, Tableau Public doesn't provide the flexibility that I find in Tableau Online. If we compare this with other tools, such as Zoho Analytics, for example, publishing web-based shared dashboards is more flexible, in terms of publishing web-based shared dashboards.

If they can add the feature of machine learning and the predictive analysis to Tableau, it would be very helpful. After Salesforce acquired Tableau, they have been merging Salesforce with Tableau, in terms of machine learning. That said, in this case, I need to use two products - Salesforce and Tableau. I want to have the Einstein tool, which is available now in Salesforce, be integrated into Tableau, so I don't have to use Salesforce for machine learning, to use the Einstein tool, and I can use Tableau for the product. If the Einstein tool for machine learning is integrated into Tableau, that would be very good for us.

For how long have I used the solution?

I've used the solution for around four years. 

What do I think about the stability of the solution?

The stability has been good. In general usage cases, it's reliable andhere are no bugs or glitches. It doesn't crash or freeze. But we face some stability (crash or freezsing) and performance (slowness) issue with large datasets especially when we export our Tableau visualization to Tableau Public.

What do I think about the scalability of the solution?

Basically, I'm the one using it. However, others consume what I make. I create the dashboard, I create the analytics, and I give my analytics as a shared dashboard or as reports to the decision-makers and other employees. Normally they consume what I do, however, for the creation of dashboards, creation of analytics, I do the job. I'm the main user in that sense. 

It's very scalable, especially if you choose the online option.

How are customer service and support?

Technical support has been great.

How was the initial setup?

The implementation process is not difficult. It's very easy. When I use Tableau Online, it is given as software as a service, which means I don't need to deploy anything. I just give the username and password, and I use it directly without any issue. For the Tableau Desktop, I need to install the software. It's a very normal installation and happens without any issue.

What about the implementation team?

We handled the implementation process ourselves. It's pretty easy. therefore, we didn't need outside assistance. 

What was our ROI?

The return on investment from Tableau is very high.

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

The pricing of the solution is very good. We find it much cheaper than other options.

What other advice do I have?

I'm just a customer and an end-user. I have tried several times to have a partnership with Tableau, however, it seems a little bit difficult getting the partnership. This is maybe a negative aspect in terms of having a partnership program. It's not easy to have a partnership or a fellowship relationship with Tableau.

I'm using Tableau Online, as software as a service, and I'm also using Tableau Desktop. I use it on my machine.

I really recommend it for any organization that wants to have data visualization with a tight budget.

I would rate the solution at a nine out of ten.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Other
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
reviewer1521363 - PeerSpot reviewer
Digital Strategy Manager at a energy/utilities company with 10,001+ employees
Real User
Good visualization with great features and good stability
Pros and Cons
  • "The best part about Tableau is the visualization."
  • "The pricing is a bit expensive."

What is our primary use case?

We just created the data visualization and analytics models and the complete setup file was sent to the client for deployment in their own premise as that was their client policy. We just created the solution and the solution was transferred to them.

We were trying to create a dashboard for the contractors in an oil and gas plant. It's for a million-dollar company. That was the level one priority. The use case involved a pilot project meant to drill down the visualization of each contractor and the sub-KPIs at a sub contracting level, plus the geographies involved. Tableau is a data visualization tool with analytics involved in it. The art was to create a set of dashboards that were geography-specific plus contractor-specific. Along with that, there were some common KPIs against which the visualization was supposed to cover as well.

What is most valuable?

The best part about Tableau is the visualization. 

Tableau has some amazing features. We can have some additional UI features that act like a skin. You can get it to really customize to your needs and then you can incorporate items as a plugin in your Tableau version and the user interface.

The graphics are quite good.

The solution can scale.

Technical support was helpful.

We found the solution to be quite stable.

What needs improvement?

Tableau is good, however, it lacks a bit on the integration side if you compare it to Power BI, for example. Power BI has quite a good amount of connectors. Even though Tableau does have some, Power BI works well with the Microsoft environment and most of the firms are in granular detail. That's where Microsoft shines. Maybe Tableau can collaborate with other bigger, well-recognized solutions in order to get an edge in the market the way Power BI does with Microsoft. 

The pricing is a bit expensive.

There's a bit of a learning curve for those new to implementing the solution.

For how long have I used the solution?

We've been using the solution for less than a year so far. In the last eight months, we've developed and deployed the solution. We haven't been using it as long as, for example, Power BI.

What do I think about the stability of the solution?

It's a reliable solution. There's no doubt about it. The solution is stable. It does not crash or freeze. There are no bugs or glitches.

What do I think about the scalability of the solution?

For deployment, the capacity was increased. It required really strong contractors also. That was easily manageable. It is quite scalable.

We had a team of around 20 developers who are working on the solution.

How are customer service and technical support?

We only dealt with technical support once or twice. There wasn't a lot of interaction in the time we used Tableau. That said, they were always helpful and responsive. We were happy with their amount of assistance. 

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

We are also using Power BI. We use both products currently.

How was the initial setup?

For us the solution's initial setup was complex as we were just aware of how to use Power BI previously. It was a completely new solution. We had to get an instructor to get the things in place.

I'd say it was about an eight-month installation process for the particular software. In-app work was one month and then seven months of development everything and all over the board.

What about the implementation team?

We had an instructor assist us in the implementation process. and show us how to use the product.

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

We bought a monthly license as we were not able to continue with it long-term. It was simply a specific client requirement that was not needed forever.

The pricing of Tableau is a bit on a higher side compared to Power BI, however, for us, it didn't matter much as we were charging it to the client. That said, for a normal end-user, it would be considered a bit pricey compared to Power BI.

What other advice do I have?

For Tableau we have been using only for a specific team within that also was for the external clients. That experience was only around eight months. However, it was a pretty good experience. Up to that point, we had been strictly using Power BI. Adding Tableau was for a specific client who just wanted the Tableau licenses created and developed for them.

We were using the latest version. It was not a cloud version. It was the desktop on-prem version we were using.

The solution would work well for small, medium, or large enterprises. It caters to all different sizes of companies.

I'd rate the solution at an eight out of ten overall. We've mostly been quite happy with it.

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
Buyer's Guide
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Updated: March 2025
Buyer's Guide
Download our free Tableau Report and get advice and tips from experienced pros sharing their opinions.