I have a team of three people who are Tableau developers, and they have been working with me. We have one Tableau senior developer who does the server administration, as well as major Tableau development. Two members are supporting him on small dashboard developments.

When we were given the first project, we had hired a consulting company called PWC. They had implemented Tableau for us for procure-to-pay. They had deployed one project manager, one Tableau developer, and one MSBI because the data is on SQL. After that, for our support, we hired one senior Tableau resource, and then we internally trained two people. They have been using Tableau and supporting us.

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It is able to scale to the user base that we have, but pulling large sets of data into the dashboard can be problematic. You have to reduce the data to only what you're going to present, and that's it. Otherwise, it is unusable in my opinion.

We've got hundreds of users on the product. When I came to this organization about five years ago, Tableau was fairly new, but it grew very quickly. Initially, only I and a couple of other people were using it, but now the user base has grown significantly.

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Based on my understanding, it's a highly scalable solution. However, I haven't personally tested it with Tableau, which is used for integration. But for the features I've used, I'd rate the scalability an eight out of ten. 

There are only around 30 key users. But they're very satisfied with it, even though we're still in the initial stages and changing our data culture.

So, we plan to expand the usage further. 

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It definitely scales well. It's one of the best in the market for that. We have over 300 users in my organization using it.

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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.

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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.

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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. 

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The solution is scalable, we have around 15% of our clients that are large scale businesses with the majority being small companies. We provide support for our customers.

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I can say that this solution is quite scalable. I'd rate it eight out of ten. It integrates with many solutions. I haven't used our code in everything, however, I have used it for our HR integration and I find the code is quite scalable. 

In the last project I managed, there were 110 regular users of the solution with about 20 suer-users that were able to edit reports and dashboards and tasks of that nature.

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Theoretically, Tableau is scalable, but I haven't tried to scale it yet. 

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The scalability is good. We already have some help from professional services, and we've conducted an analysis showing that the number of users will be increasing every year.

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Scalability depends on your data and how you make calculations. That becomes your scalability. About 20% of all our organizational users are currently using Tableau.

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The product’s scalability is good; I rate it a seven or eight out of ten. I have seen many people concurrently using it.

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The solution is very easy to scale. The Blueprint methodology shows how large companies can successfully implement and develop it.

We are a small company. Right now we have about eight users of the solution. Part of them prepare analytics and manage the solution on the server side as the analysts, architects, and solution engineers, and the rest are people who use the solution as users, viewers, and explorers.

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I personally don't like any BI tool to have that scalability. What we usually do is integrate scalability into our warehouse layer. We know how to scale up and down and we handle it there. We don't rely much on the BI tools to do that.

I am talking about the scalability of a program in general, be it in its relation with users or as it concerns dashboards. 

We recently started working with Tableau online and that particular solution is scalable. It ingests the hardware, the server capacity by itself. So, if users go from, let's say... 100 to 500, we don't see a dip in performance. It still behaves the same. Because of this new integration technology with the cloud, they are scalable in that regard.

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We have 10 Tableau users in our organization. We plan to increase software usage. View full review »

It is scalable. They have a cloud version, and you can implement it on the cloud.

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The scalability is simply awesome.

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Our solution handles five thousand users per month.

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This is one of the things that we're going to have to address as people start onboarding. It's going to be the challenge, where we have to choose which BI tool to use. Thre is scalability in term of the number of users and in terms of the volume of data. We don't know the volumes of data that we're dealing with. If they're extracting data and putting it onto our server, that all will take up space. Those are things that we're going to discover over time.

Tableau is also improving its product. We're not using the latest version which has some performance improvements. That's because we don't have the hardware to support it. That is something that Tableau will, I'm sure, improve over time as well and catch up with some of the bigger players.

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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. 

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I can say Tableau is highly scalable. Now that they've introduced Hyper, you can create an extract of more than 5 million rows in minutes and then do your analysis. So that's a very optimized way to analyze a lot of data. That's why many other companies like Amazon use Tableau to create their visualization, reports, and charts, considering that their data volume is very high. 

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Tableau needs to be more scalable. The performance takes a hit if you have huge data. Even if you take an extract and you publish the extract and schedule it to refresh, if the report has multiple tabs, it can take quite a while to go from one tab to another.

We are going to scale the Tableau server so that it can accommodate more processes and can be more process inclusive.

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I don't think it is scalable because of the stability issue. I think it's good for desktop; it's quick and dirty, making things you need, and you can actually build some really nice dashboards. It's scalable when you publish it to the server. Also, you can have as many users as you want accessing it. I have some impressions on how much data you can actually use at a time when you're building your reports.

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When there are millions of records, scaling up is quite difficult. There are, however, workarounds.

For example, you have to create summary tables or aggregate tables so that Tableau can be faster. There are third-party solutions like Kyvos available but if Tableau can integrate that and address the scalability, then it'll be an undisputed champion in the space.

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I have used it only for building dashboards. I have not used it much for other areas, so I don't have any inputs about its scalability.

Its users are from the finance department. There are more than 20 people for that project, and they are using different dashboards. Its usage would expand in the future. They have a plan to also use it for machine learning. I am not sure if that would be a different team or if we will be involved, but machine learning is coming into the picture in the future.

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Currently, we have a strategy to open the reports to all customers, but I think we should develop more business-related skills, not only with the system or in some application terms. Our users do not have enough skills or insights for the dashboard.

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Given that it's Tableau Public, I don't feel I could give the right answer to that. However, given that you could share your visualizations on a server without sending a file to people, scalability seems like a good option here.

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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.

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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.

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Scalability depends on us. It depends on how we are configuring it based on the users' needs and experience. It has nothing to do with Tableau.

We have about 70 active users at any time of the day. Even Tableau was surprised to see that level of active users.

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The solution can scale well. There shouldn't be any issues if a company needs to expand. 

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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.

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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. 

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It has a very high scalability.

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This is no longer an issue in Tableau 10.3.

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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.

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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.

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The solution does have scalability issues. When the data size increases, the product slows down and doesn't work right. In addition, it's very expensive to scale.

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It is scalable. We have around 10 users.

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

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I have found the solution to be scalable.

At my organization, we have about ten to 15 regular users. 

We use it pretty extensively - at least once a week.

I'm not sure if we actually have plans to increase usage at this time. 

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Scalable in the sense of a very good performance in te Tableau Server , nevertheless the info must be prepared or downloaded in a very well defined DataWarehouse

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It is scalable if you use it with other tools. I have used it with other tools.

I am a freelance consultant. I use it myself. My clients have hundreds or thousands of users.

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A strong guide to help determine the scaling up options does not exist; it is still new to third-party support consultants which performance options are the best. I do like the fact that AWS has a one-click solution, but it needs more of a config wizard to better outline what storage/memory impacts choices will produce.

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Scalability has been fine. So far, I believe it has served our purpose.

We have more than a hundred users in our organization.

It is being extensively used, but it is getting to be lesser now.

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I'm not managing any scaling aspects. I'm basically from the development team. Every company has its own scaling goals. In my company, I don't really follow that aspect.

I can't say how widely used it is in my organization. When we deploy a tool, there are different teams. There are different stakeholders who are actually using it. I manage my team. I know about only my team, not other teams.

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The scalability is pretty good. In our case, we did start small and we are now scaling in for our different departments. It's working great.

We are not a big group, however, I would say that we have around 80 to 100 users and that combines creators, explorers, and viewers - a little bit of everything.

We are getting used to it and using it more and more. We are expecting to increase usage in the future.

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

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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.

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The above issues brings into question how scalable it really is.

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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.

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The solution is scalable. It's not difficult to expand it to your needs.

We are a really big company. I'm not sure exactly how many people actually use the solution. In our department alone there are at least 50 users. That's a small team, really. I'm sure it's used extensively globally.

I have not heard of plans to increase usage in the future. 

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This is a scalable solution. 

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

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

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Tableau caters to a lot of databases and flat files, which means that you can connect to multiple data sources. In this regard, I would say that it is quite scalable.

We have between 40 and 50 users in the company.

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My impressions of the scalability of this solution are that there are ways to make it as scalable as you want. There have been some issues with the amount of the data that we had to use on the platform. We ended up using the extracts. It works fine now. I would say it is scalable.

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Good scalability. Not that bad, not that great, it's good.

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No scalability issues.

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Tableau has good scaling capabilities.

We have approximately 30 to 40 users using this solution in my organization.

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From working with my data analyst, I get the impression that Tableau can't take the load when scaling.

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Tableau, as noted above, does not provide much in terms of data preparation. Handling of large volumes of data sometimes does not work well with this all-in-one purpose tool making it less ideal for business users.

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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.

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I've had no issues with scalability.

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Never. I do a BILLION+ record demo on my notebook, with sub-second response time. As in any other tool/application, proper design is still needed. Tableau affords me the advantage of being able to implement increment aggregate data sets without having IT involvement. THAT is BIG! View full review »

One of my biggest problems is getting all the users to use Tableau, but that's not a specific problem of the tool alone since it is one of the most common problems among BI tools.

I only have ten Tableau licenses that are used in my company.

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Not a lot here. Pretty scalable.

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It does not perform well when you cross into TBs+ of data and thousands of users.

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The product is scalable. We have 50 users for it in our environment. View full review »

I have found Tableau to be scalable.

I would recommend this solution for large enterprises.

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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.

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Scalability is quite flexible. It designed to give a more flexible scaling experience. It's quite easy to add users. The Tableau server can support 200 users.

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Yes. licensing costs are an issue

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Its scalability is quite good. The negative side would be the cost, but it is quite scalable.

For the projects we have worked on, one of the projects had about a thousand users, and one of the projects had about 200 users. I handle a development team here, and my team is not very big. It is just a four-member team.

It is used by the management, CXOs, and even the mid-level management people. It's basically for decision-making, so mainly the executive board uses these dashboards.

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Tableau is a scalable solution.

Tableau is used by approximately 90 people in our organization.

We do not intend to increase our usage. I've asked for reports on how many users we get on a daily basis, as well as how many people use it and then don't use it for weeks. How long do they stay if they come in, and what are they looking at?

We are attempting to purchase a tool that will provide us with that information. We know which dashboards are popular, which are not, and why the popular ones are popular while the unpopular ones are not. We need to get an add-on that will tell us exactly what makes the dashboard sticky and what keeps people coming back to use it.

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The solution could improve the scalability, it is difficult to make changes.

We have more than 50 people using this solution in my organization.

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It does manage a good amount of enterprise data, but it is not like Oracle BI or MicroStrategy. They can handle huge volumes of enterprise data. Tableau doesn't have the same efficiency in terms of handling a large amount of enterprise data.

In terms of the number of users, I work for a client, and they have a user base of 14,000.

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Scalability-wise, Tableau has met all of our needs. Across the organization as a whole, we probably have more than 1,000 users. There are probably 50 power users, who create their own dashboards and reports.

The consumers are sales executives, senior management, C-level, and HR. There are a lot of job categories that use the reports.

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Ths scalability of this solution is good. It depends on your DW design, as opposed to limitations in Tableau. If your DW model is poor then Tableau is not miraculous.

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No.

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Once others in the company start seeing what it can do they immediately ask what needs to happen so they can get a license. We started down the path of looking at core enterprise licensing but were told the company is moving away from that model and sticking with a per user/license structure. Depending on how many in the company want to start using the software plus needing the additional interactor license to access the server the purchases can add up quickly.

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We have not encountered any scalability issues.

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On the contrary, Tableau gave us the ability to manage larger volumes of data.

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The tool is scalable. Around 50 people are using the product in our organization. Everyone knows about the product. We have around seven administrators. The number of administrators varies based on the project and tasks.

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It is pretty scalable. There is no doubt about it. In the cloud version, a live data source can also be integrated. So, it seems pretty scalable, but I've not tested how scalable that version is.

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This is a scalable solution. We have databases from 1 million to 100 million roles that run very fast.

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My understanding is that the solution is scalable. We are currently around 400 users and the roles are typically in finance, sales, marketing, and production.

It's the only tool for certain information, therefore, it's very widely used. We are really, really relying on it and that is growing. We are, during the next six months, closing old reports on the old business VPSH Virus environment. When that is done, this will be the only source of information when it comes to certain financial figures.

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

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It is scalable. The beauty of this product is that it is for everyone. Tableau is a good fit for small enterprises to large enterprises. It can also be used in small departments of a company. The mission of Tableau is to help people see and understand data. So, it is not only for the IT people who understand the technicality of it. It is end-user-centric, and therefore, everybody can use it. It can be used by the marketing, finance, credit, and sales departments. The developers, data scientists, statisticians, and other people can also use it. It is for everyone. 

You can scale it vertically or horizontally, or you can go both ways. You can have a single node configuration and add more RAM or more memory to the same node, or you can have a multi-node configuration. Both are supported. You can add nodes depending on the number of users who want to consume the analytics.

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Its scalability is fine. However, in my experience, I haven't seen large-scale projects in Tableau. For such projects, tools like Cognos and MicroStrategy were used. It may be because I didn't get a chance to work on very large projects. I have seen it being used only for small-scale to medium-scale projects, not for large-scale projects.

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No, we have not experienced any scalability issues as yet with Tableau Online.

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It all depends. You have to make sure that you've designed the data part well. It is doing better at handling scalability. In other words, you can throw more users at it and it shouldn't impact the system performance.

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Tableau can scale to massive datasets without problems (I used a few, approximately one billion-row tables), provided a DBA is part of the team to fine-tune tables and views. The proprietary columnar database engine is very fast and robust.

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Tableau is scalable. Right now, 200 to 300 people at my company use it.

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Most of the companies that we work with that use it are medium-sized enterprises and is typically public companies or government organizations. 

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I have found this solution to be highly scalable, we have approximately 800 people in my organization using it and plan to increase usage.

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Scalability in Tableau depends on many factors such as server configuration, networking, and workbook design. In my experience, the single biggest factor that affects scalability is the dashboard design. Excessive use of quick filters, multiple data sources blended together, long conditional expressions impact scalability. Reading "Designing efficient workbooks" whitepaper is extremely helpful. If your dashboards follow the best practices, it is possible to accomplish near-linear scalability by scaling your Tableau Server horizontally or vertically for large number of concurrent users.

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We are very early in our project but do not see any major limits yet.

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No

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We have increased the number of users when we develop more dashboards for the new departments. We did not face challenges when we increased the number of users. We have approximately 50 users using the solution in my organization.

We are planning to increase the usage of the solution. We are doing internal training to help our employees because a lot of people do not know how to use it properly. This has caused a bit of an expansion problem.

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It the solution was better with non-structured data, its scalability might be very good.

I just have the student license for myself. There aren't a large number of people in our company that use it.

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With data exploding exponentially, handling huge data that runs into billions of records is still a concern at an enterprise level. Organizations will also have to understand the right use cases, but then affordability would come into picture, where organizations do not want to invest on different tools. They try to make best use of the available tools.

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Scalability lacks some features. For example: governance, better clustering, dual authentication, detailed options of security, events manager, etc. That is why I only see Tableau as a data discovery and dashboarding tool (for senior management).

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No issues with scalability.

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We were able to deploy it fairly broadly without a whole bunch of work. From that perspective, it worked fine. I was deploying my stuff to about 200 users across Canada, and I don't think we saw a blip on the server when people logged in. It was fine. If we were to roll out some of the bigger applications broadly, like the ones that we were having performance challenges with, we probably would have crushed the box. We would have had to get more CPU. Most likely, it would have been a memory issue, but we never hit that inflection point.

There were about 200 users of the solution. It went all the way from the equivalent of a senior vice president and all the way down to the equivalent of a line manager. So, we had business unit leaders, vice presidents, and operational managers.

It was being used extensively for a specific use case. There were lots of other use cases that it could be used for, but there needs to be an appetite from leadership to go, drive, and commit resources to go do that.

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Tableau is scalable, but the overall scalability can be improved to accommodate large volumes of data.

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I have not encountered any scalability issues.

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No issues encountered.

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The solution is scalable.

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The scalability is great.

We have ten users in our organization.

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No.

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No, but important to note it was PoC.

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I have not encountered any scalability issues.

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It's a scalable solution.

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

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Good - by licebnse model can be replaced by an enterprise model solution for large numbers of licenses.

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This is a scalable solution. 

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Based on the analysis currently being done, the public version is sufficiently meeting our needs.

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No.

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Yes. In earlier versions, it was tough to scale without a lot of expense. With the addition of Web Editing, you can control your costs better and keep your usage to the things they do the most frequently. Still experiencing challenges in the VM world, but sounds like they are exploring options to address this.

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Tableau is difficult to scale because of the cost, which makes it difficult to scale.

We have approximately 25 users using this solution in my organization.

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

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

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

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The solution is scalable without a doubt.

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I did not really encounter any deployment, stability or scalability issues. There is a whole support team inside the company to solve these type of issues.

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We've had no issues with scalability.

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Tableau is scalable. 

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Obviously, it is not very scalable with large data sets. Hence, it becomes slow and clunky when large data sets are introduced.

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It felt a bit slow.

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Not encountered any so far, but this appears to be one of their big selling points.

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No issues encountered.

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Scalability is very good, especially with release of Tableau 8 which brought 64-bit and multi-threading. Extends to hundreds of users on a single server in my organisation without any issues and has capability to include clusters of servers for larger organisations. View full review »

The free mapping component needs some enhancement for a better quality of geographic information, but it does connect with a ESRI mapping server for optimal data visualization of geographic information at an additional cost,

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Tableau 8.3 did not scale properly.
I had four cores, but Tableu 8.3 was single-threaded. Tableau froze once in a fortnight, and without saving either *.tde or *.twb, they lost their sync.

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While my understanding is that the solution can scale, since my work basically was project-based, we didn't have a lot of occasions where we had to really scale up in our work. I can't exactly say how good or not good the scalability is. That said, in my personal experience, I didn't have any problems with it.

The users on the solution varied from project to project. Usually, it was in the dozens or so.

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Not yet.

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We are limited with the Tableau extract functionality, which is causing an overburden on resources.

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It is easy to scale. It is suitable for small, medium, and large enterprise

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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.

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We have had no problems scaling it for our needs.

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Older versions had trouble with performance when looking at larger datasets but it does not seem to be as much an issue now.

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We've had no issues with scalability.

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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.

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The solution is definitely scalable. 

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if you don't have specific/professional skills in database architecture, you may face trouble regarding this.

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Yes, but I was able to quickly deal with the issue.

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Performance degraded while scaling up the database.

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In v8.1 there was a problem with big Excel files - for ex: if you have an Excel spreadsheet with three sheets and more then 300,000 rows in each one and you want to add it as one datasource linked by one key field - your Tableau Desktop will be very slowly. View full review »

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.

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So far, so good.

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No issues encountered.

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The solution is scalable. 

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There is no issue with the scalability.

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No issues with scalability.

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Not yet.

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We have not experienced any issues with scalability.

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Lots of care including design/caching required to ensure quick reports while handling large amounts of data. View full review »

No.

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