Tableau Reviews

We use the most recent version. 

We use the solution to engage the field teams and we integrate that with the data warehouse data and build the dashboards for them.

It is helpful that the solution provides access to one's own data. It allows a person to get insights out of the data provided by his tool, based upon the KPIs that the person wishes to look at. It all depends upon different use cases. We have dashboards for marketing people, field teams and executives. It all depends upon which insights a person wants, in which case he can prep the data accordingly. This is good. 

The most valuable features are the visualizations, the way they show the combination charts. This allows a person to jointly put in different measures in different axes and greatly facilitates the user in understanding the data better.

There should be a focus on memory data, which is the concept of Tableau. This is where they squeeze the data into their memory. Because of that, we see performance issues on the dashboards. The architecture should be improved in such a way that the data can be better handled, like we see in the market tools, such as Domo, in which everything is cloud-based. We did a POC in which we compared Tableau with Domo and performance-wise the latter is much better.  

As such, the architecture should be improved to better handle the data.

We are seeing a shift from Tableau to Power BI, towards which most users are gravitating. This owes itself to the ease of use and their mindset of making use of Excel. Power BI offers greater ease of use. 

For the most part, when comparing all the BI tools, one sees that they work in the same format. But, if a single one must be chosen, one sees that his data can be integrated at a better place. Take real time data, for example. I know that they have the live connection, but, still, they can improve that data modeling space better.

We have been working with Tableau for almost seven years.

The solution has pretty good stability. It's a robust tool, even though it has a steep learning curve. But, still, I feel that from the stability perspective, it's a leading BI tool in the market. It's pretty stable.

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.

We are in contact with technical support. One service we have is Tableau online. If we see a dip in performance, we raise a ticket to the Tableau support team, work with them and make certain they address our issues. I would rate my experience with them as three out of five. 

We used Tableau from the get go. 

While I was not directly involved in the setup, I know that it's not that easy. There is a need for a proper administrator who has experience in that field.

We used an integrator from Tableau when implementing.

Our experience was good and we were assisted with our implementation requirements. They were able to make notes to match our use case and answer all of our questions, including those concerning the number of users we have and how to set up the server.

I'm not part of the administrative group which handles the setup. I am mostly a consumer and responsible for building the desktop. I use the desktop version to build the dashboards and am not responsible for the server health check or maintenance. As such, I am not in a position to provide information about the staff required for maintenance, updates and checkups. There are a couple of people who are responsible for this, one from the customer side and another from our team. Both parties are in sync when undertaking these activities. 

I have no knowledge concerning the licensing costs of Tableau. 

The solution is mostly deployed on-premises, although we have also done cloud-based deployment. 

We have around 500-plus users making use of the solution and mostly 90 percent are viewers. We have very few creators or explorers. Creators comprise seven percent and explorers three percent. 

My advice to others would vary depending on their use cases, what they're looking for and the level of competency they have within their organization to use it. Tableau has a steep learning curve. So, it depends upon one's use case, the reason the person is going with that specific BI tool. The procurement department would need to evaluate the use cases very carefully, because there are so many BI tools available in the market. One's focus should be more on a centralized tool when bringing a new one to his organization. It should address all the answers to one's users, like what they're looking for. Definitely Tableau is good in the data discovery part and it can handle large data sets. So, all of these things should matter when one is trying to evaluate a tool.

I rate Tableau as a seven out of ten. This is because we are using it and it has a steep learning curve. It's not user-friendly. One must build a competency in creating the visualization and then support it. All of these things matter when one is evaluating a tool. That's why a shift is going towards Power BI.

Tableau is pretty intuitive. It has a great interface, and you can get multiple visualizations. The best thing I like about Tableau is that you don't have to go for creating; it is calculated free. Unlike Power BI, Tableau has create a calculated column with dimension.

Tableau is quite fast and provides connectivity to 75 plus data connections, which is great.

Also, installation and configuration are pretty fast and seamless in Tableau.

In Tableau, it's just the concept of creating one calculated column and one create calculated free. So, it's pretty simple, and it's pretty easy to locate and work on it.

I have noticed that Tableau is not very compatible with ClickHouse. There's no direct connection to ClickHouse; you have to set up an ODBC connection.

Tableau's performance takes a hit if you have huge data. The stability and scalability could be improved.

I've been working for almost five plus years on Tableau.

Tableau's performance takes a hit if you have huge data. So in terms of stability, I feel that Cognos would be more stable because you can import all the metadata and store it in the Framework Manager. Tableau has scope for improvement regarding stability.

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.

We have a Center of Excellence team, and anytime we have an issue, we reach out to them. They then raise an incident or a ticket with Tableau technical support. In the case where we had 1 million rows and the Tableau data was failing to refresh, we shared the log with Tableau Center of Excellence. They came up with the findings that it's more of a database issue and not a Tableau server issue.

Installation and configuration are pretty fast and seamless in Tableau.

In general, if someone is new and wants to learn Tableau, it's around $70 per month.

I have experience working with Cognos and Power BI. Compared to Cognos, Tableau and Power BI are pretty fast. Cognos has the concept of Framework Manager where you can build a framework model. Once you build the model, then you have to release the package, and only then is the subset or the package of data available for reporting. Tableau and Power BI eradicate the dependency on a framework model.

With Cognos, installation and configuration wise the setup takes a bit of time. You have to install and configure and then make the data available. After that, you can do reporting. Unlike that, Tableau is very quick; you can just directly connect to Excel or a file on your desktop.

The connectivity, installation, and configuration are pretty fast and seamless in Tableau and Power BI, unlike those in Cognos.

From a license perspective, I think Cognos is the most expensive, then Tableau, and then Power BI.

If I were to rate these solutions on a scale from one to ten, I would rate Power BI at 7 and Cognos at 8.

You can do a lot in Tableau, and on a scale from one to ten, I would rate it at eight.

We use Tableau for the all kind of dashboards.

Tableau as a BI solution provides a platform to develop user-friendly, story telling dashboards, which provide insights to help management take decisions.

The solution has a lot of customization when comparing to Microsoft BI.

The customization requires a lot of effort and should be simplified. The performance could be better. When comparing the performance of Tableau to other solutions, such as Microsoft BI, they are not as good.

I have been using Tableau for approximately four years.

The stability is very good.

Tableau has good scaling capabilities.

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

The support is good for Tableau. However, if we ask for a certain feature they will not entertain us, unless other customers are also asking for the same feature.

Positive

We previously were using Microsoft BI and we switched to Tableau because of the increased level of customization it provides. Microstrategy can also be a considerable alternative.

The installation is complicated and took us approximately four hours.

It would be best to use an integrator or other professional assistance for the implementation.

We have approximately two engineers that handle the maintenance of the solution.

Our management can take decisions based on insights provided by Tableau, which are smart and help us reduce costs and data issues.

There is a license for the use of this solution and it is on a per-user basis. The server is free but the users you have to pay for.

We performed a POC before going with Tableau, we tried Power BI because Power BI is competing against tableau. But to use Power BI at its full potential, you need the Power BI cloud edition, which our organization cannot go with. So the obvious choice was to go with Tableau.

Tableau is very good, but customers have to understand the requirements of hardware and software the way Tableau works. If they have some requirements that Tableau cannot meet, they will understand how to do it in an alternate way.

I rate Tableau an eight out of ten.

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

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

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

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

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

Neutral

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

Overall, I am satisfied with Tableau.

When compared with Power BI, Tableau is much easier.

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

I would like to see the visualization improved.

I have been working with Tableau for four months.

I am working with the most recent version.

So far, Tableau has been stable.

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

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

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

Previously, I worked with Power BI.

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

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

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

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

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

I would rate Tableau an eight out of ten.

I primarily use Tableau for fair-market reporting.

I've been using it a lot for our dashboarding needs, circulating data to the business, generating PDFs, and publishing on the portal.

Over the time that I have used this solution, I've found the interface to be extremely user-friendly.

I especially like the flexibility that Tableau provides. You can quickly make web edits from version 9.0 onwards. My understanding is that Tableau 2020 has many more features for this, as well.

I customize the reports to my needs and preferences.

There is a lot of APIs available, which means that Tableau can be customized to a large extent.

Tableau had some issues with parameters. In particular, prior to version 2020, they did not have dynamic parameters.

Tableau cannot work with cubes or MDX (multidimensional expressions).

For enterprise-level users that are computing millions of records, they need to improve the features.

I have been using Tableau for close to five years.

In all aspects, Tableau has been very stable.

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.

Technical support is extremely good. Since we have been a customer of Tableau, they have always responded really well to our queries. This is true regarding price, as well as in the technical aspect.

They have a good knowledge forum.

I have worked with SAP BusinessObjects, Domo, SAP, and Birst.

One of the reasons that I prefer Tableau is that it's very user-friendly. Anyone who is familiar with Excel can easily adapt to Tableau.

We have been using Tableau for a long time, and we have seen a return on investment. The reason is that we have been able to scale it up to an enterprise level.

In the long run, there is definitely a return on investment.

Licensing is slightly on the higher side compared to other products, such as Birst. There are different licensing options so you really have to be careful when choosing them. I recommend that you discuss your needs with the salesperson and try to negotiate the price.

In general, the price is slightly higher than products such as Power BI and Birst.

Tableau is a solution that is near-perfect.

I would rate this solution a nine out of ten.

Tableau is used for reporting time in the dashboard and also for skills in maintenance and metrics. That's pretty much it.

The dashboards are great.

The solution offers very good reporting.

It's a stable solution. We've never had any issues with it.

We have found the scalability to be good.

There are no significant improvements needed. 

It would be nice to include more features on each dashboard. 

I've been using the solution for a couple of years. I've used it for a while at this point.

The stability and reliability are good. There are no bugs or glitches. It doesn't crash or freeze. 

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. 

I don't have experience with technical support. I can't speak to how helpful or responsive they are as I've never been in contact with them.

This product was already in place when I was hired. I'm not sure if something different was used previously.

The installation was handled before I came on board. I was not a part of a process. I can't speak to if it was difficult or not.

It's a hosted solution. We don't need a team of engineers on it from our end.

I can't speak to the pricing. We're a global company. Another team deals directly with contracts. 

I would rate the solution at an eight out of ten based on my experience and what I know. 

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. 

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.

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.

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.

I've used the solution for around four years. 

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.

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.

Technical support has been great.

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.

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

The return on investment from Tableau is very high.

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

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.