Tableau Reviews

• Graphical representation – great for showing trends over time or comparisons • Data source integration – can integrate with almost every type of databases/data sources like text files (csv, txt), SQL, SSAS, Oracle, etc • Flexible – very simple for a user to create reports with parameters and filters • Drill down – this functionality is built in so it is very simple to export into Excel and link from report to report, dashboard to dashboard. • Links - Using the URL you can link to any webpage or any report accessible via URL

• Unlike Tableau, QlikView is a powerful, agile platform. • Lack of shortcuts – no controls such as dials or gauges which are generally find with dashboard • Poor Performance in hierarchical data– this is an usability problems when filtering as it doesn’t recognise the hierarchy. You can’t clear all filters enabling the user to start again when using complex filters • Unable to link parameters

• Graphical representation of data - refers to the aggregation of data in a relevant and easy to read • Customizable Maps: Table 7 allows correlation with geographical indicators displayed by different colors. Each geographical area will receive a predefined color. For example, if economic growth in Spain it will receive colors depending on the level of growth • Related Charts: It is possible that in one chart to be visible all the variations. • In addition to the possibilities of visual correlation with indicators of geographical areas, the new version of BI offers a number of other new features: • multiple maps • Multiple names points / geographical areas (depending on language, types of abbreviations) • ability to add new points according to geographical longitude and latitude points • Automatic identification and centering it on the map for viewing relevance.

I am using Tableau and we use it as a business intelligence tool. We plan to move to the cloud soon.

Our compliance team  has not approved some security policies on the cloud. We are working on it and we have moved some of our data warehouses to Redshift already.

The solution has helped out organization improve by providing beneficial team reports.

I have found Tableau easy to use and the features are superb.

I have been using Tableau for approximately two months.

Tableau is stable.

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.

I have previously used Amazon QuickSight, and Tableau is easier to use.

One of the biggest drawbacks of Tableau is the price, it is expensive. The price should be reduced.

I rate Tableau a nine out of ten.

On-premises

Tableau can be helpful for BI reports and data dashboards. For example, say you are getting data from a few systems, and you want to see a consolidated report, like a management report or a transactional report. We use Tableau to build a dashboard using the data that we get.

I'm in a pre-sales role, so I don't have a lot of practical hands-on experience with Tableau, but there are experts in my company, and we've been using the solution for more than five years.  
We're consultants. If a customer wants to build a dashboard or run some custom reports using Tableau, we do the engineering part.

Performance-wise, Tableau is good but it could always be better. 

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.

The complexity of deploying Tableau generally depends on the size of the project. As far as I know, it takes two or three Tableau engineers for the bigger projects where we're using utilizing them to build a database. 

To clarify, I'm talking about the engineers building the custom solutions for our clients, not consuming them. To construct the Tableau reports or the database we use to generate the reports, we need two or three Tableau engineers and around the same number of database engineers to generate the data or write the scripts required for generating the reports.

I would rate Tableau seven out of 10. Other tools are more competitively priced, but I wouldn't give it a low rating because Tableau still provides the functionality our clients need. I would recommend it.

Public Cloud

We were using Tableau for some simple data visualization statistics. Last year because of the pandemic, we collected locations of people who were positive and then tried to put the information on a map and see if we can find any patterns.

Tableau is easy to use compared to some other solutions, such as Excel.

There should be more GIS features, such as location analysis, which is quite limited. There are very few location-based functionalities.

I currently have to use another Tableau solution that allows me to combine different data sources and do the data cleaning. I think they should combine these solutions together.

I have been using Tableau for approximately one year.

The solution is stable.

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.

I am from a Oracle database background and I have used Oracle Reports.

I downloaded the solution online for free.

I would recommend others to have a look at Tableau for data visualization.

I rate Tableau an eight out of ten.

We are using the latest version. 

I like the solution's web version, more so than Power BI's web version. It just makes it easier to drag and drop things and to blend data on the backend. It simplifies the process. 

The charting is overly complex in comparison with Power BI's

The calculations are harder, as the focus is on a little level of detail instead of on making a column. Power BI and Tableau are a bit more detailed when it comes to creating calculations. It's not possible to merely add two columns together, but there is a need to build a calculation. Simply put, calculations can be a little more complex in Tableau. I'd like to see the ability just to add and subtract columns, to make it like a wizard.

We are currently using Tableau

The solution is deployed on-cloud, but I have the desktop version, as well. 

As the product is comparable, I rate it as an eight out of ten. 

I'm not using it on a daily basis. I've gone through the training and I've got my associate certification.

The solution is very easy to use and simple to understand. They make it very easy to navigate around it and to learn the product. 

The solution is very easy to set up.

The pricing is good.

The stability seems to be very reliable. 

Personally, I have not extensively used it, and therefore it's hard to think of areas that might need improvement as I haven't fully experienced every aspect of the product. 

I'd like to see more advanced forms of charting, if possible. 

There should be more widgets that would help less trained individuals create charts with less difficulty.

Tableau probably does not have advanced big data analysis features. It's not in the same category. It doesn't have those features to the same degree as R. You do this recreational; kind of modeling and analytics. It does have some predictive items, however, it's very simple. You can't customize much.

The solution seems to be very stable. I wouldn't say that we have used it in a big data kind of way. We don't have big data; we're not really able to test Tableau to the limits.

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

I can't really evaluate support services from Tableau. Our client agencies use them directly, and therefore they are the ones dealing with support. I don't have much experience on the support side.

Some of our clients also work with Microsoft BI. I'd personally worked with Talend, SAP HANA, and Power BI. I personally prefer Tableau due to its ease of use. With SAP HANA, I don't really have easy access to it. However, with Talend, if I wanted to, I could easily go to its website and download a copy of it.

The initial setup of the product is not difficult. It's very easy and quite straightforward. A company shouldn't have any troubles handling an implementation. 

It's my understanding that the pricing of this solution is quite reasonable and very competitive. That said, I haven't really done an in-depth comparison against competitors.

We are consultants and not exactly customers of the product itself. We run projects. We give policy guidance.

I'd rate the solution at an eight out of ten.

If a company is looking for a way to create charts quickly, and communicate with charts, Tableau is definitely an easy place to start. Of course, users will need some training to understand how to create certain visualizations in Tableau. Other than that, Tableau is quite easy to set up. It's easy to connect to your data sources. Once you have connected to the data sources, you easily create the charts. There's a lot of options, a lot of charts that you can create. However, for the more advanced features, you definitely need some experience. 

We use it for our customers in retail, healthcare, and manufacturing who need analytics. I'm doing use-cases like this a lot.

We have a customer who is an automation company, and we use Tableau for optimizing the inventory in the warehouses.

Tableau's easy to use, and easy to deploy. It has a good user interface. The most important feature in Tableau is visual analytics. The maps and geographical analytics are important for implementation. It's also easy to develop and work with historical data. It also makes it easy to create a culture within the organization.

The price could be better. The overall scalability can also be improved. I would like to see more machine learning components to do predictive analytics. It should be simple for our customers to use. Tableau should include an automated machine learning feature in the next release.

I've been using Tableau for about nine years.

The stability is good.

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

The initial setup was easy. The time it takes to deploy depends on the company size. For example, one day, four days, or maybe even two weeks. It depends on the company and the data they have. It takes about three people to implement and maintain this product.

Pricing could be better. I believe they should offer better pricing for deployment in small to mid-sized companies. Tableau needs to change the pricing model and offer a monthly option. This is the principal benefit their competitors offer. If companies can pay month-to-month, it would provide more opportunities for them.

Our customers often evaluate competitors like Microsoft BI and Qlik Sense. These products are deployed everywhere, in the cloud and on-premise. Tableau loses to the competition because of price.

I would recommend Tableau to new users. This is a great tool.

On a scale from one to ten, I would give Tableau a ten.

Public Cloud

I am into a new healthcare domain. I publish my dashboards and my audience are the providers.

I am not well-versed with the latest 2020 version of the solution, but I have heard that it has made parameters dynamic. For example, when we are publishing the dashboards, if we want the dashboards to be set as a default as the previous month, we do not have to modify it again and again. It can republish month after month using an assigned default. This will save me time from not having to redo the dashboard all the time. The dynamic parameters are amazing in Tableau, it has been improved in the latest version.

I love the customization skills that Tableau has, it is not restricted to what is built-in already. We have many customizable options and they come out to be very fancy and beautiful charts. Also, I like the extract feature that makes my dashboard run faster. The low-level security that Tableau handles works well. This solution is user-friendly and suitable for any type of user. Lastly, the dashboard and reports are very user-friendly to navigate.

This solution has some features which really needs to be improved. For example, the sorting feature, If we compare it with ClixSense, ClixSense has a direct sorting feature available to users. Wherein Tableau, we have to go and create a parameter, make it dynamic, force users to click somewhere else on the filter, and then maybe you can sort it. Tableau is really new for sorting features.

With performance tuning, it generates a pretty complex query when it is not required. We do not actually write 100 lines of code for a single KPI indicator. What we do is run the performance tuning model which will give 100-200 lines of code for a single KPI. That is not exactly an optimized query. While running performance tuning on the query, it should be pretty optimized, but it does not seem to be doing this.

I have been using the solution for three years.

The solution is fairly stable. However, the issue is when it is time to upgrade. Upgrading a Tableau server is too tedious compared to other tools where normally you just have an update EXE file you run and it is done. This is not the case with Tableau, it requires the dashboard to go down for an hour and then we have to republish all the dashboards again. 

The solution is scalable without a doubt.

This solution has the best technical support compared to any tool. 

The solution is expensive but it depends on the customer's needs which will determine the cost of the licensing. How much they require and what package they want.

We have evaluated ClixSense in the past. With ClixSense, it is not as customizable as this solution, I would even say restricted. For each and every customization and format change, the basic stuff, it asks us to buy another extension. We will not be doing that.

This solution has broadened my VA exposure and it has allowed me to do things differently with respect to VA concepts and visualization. I have a great takeaway from my experience with the solution.

I would recommend Tableau because of the amazing dashboards that are appealing and that also gives us the ability to create with far better customizations.

I rate Tableau an eight out of ten.

Private Cloud