Tableau Enterprise Reviews

The drag and drop feature that provides self-service analytics with absolutely no coding is the most important feature. It’s pretty strong in geo-spatial analysis as well.

We are a services vendor for this product and our team have grown over 300% in just one year just providing support for this product, among others.

While they continue to make a lot of changes for every version, in the current BI landscape, they need to be more device agnostic, especially to compete with other similar products in the market.

I have been using this product for more than three years now. I started with version 8.0. I have been through 8.1, 8.2, 8.3 and then to 9.0, 9.1, 9.2 and 9.3.

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.

The customer service has been great from Tableau. They also have different categories defined for premium service.

The installation and configuration of Tableau consists of just a few clicks. I don't think it can get better than that.

The implementation has been done in-house. In fact, as service providers we implement for others. Once the requirement is frozen and architecture has been decided, implementation is fairly easy and straightforward.

The ROI is immediate.

The price-war has already begun among competing tools. However, I still believe Tableau is fairly priced and there are multiple options.

The team I am part of works on different tools, not just Tableau. The tools are chosen based on the use case. Tableau is not the best choice for traditional reporting, which are still in demand.

Use this tool with the right use cases. Use your creativity to build dashboards. It’s a great tool for data discovery.

• Ease of creating dashboard objects
• Variety of dashboard objects
• Visual appeal
• Storyboarding
• Scalability
• Responsive design

It needs to allow for more complexity in data joins and creation. It needs to allow for designers to create objects together on one page instead of each object having its own page before then bringing them all together. They need to offer a personal (i.e., free) edition.

I have been using Tableau for six months.

Customer service and technical support are very good.

Initial setup simplicity or complexity depends on the project and the systems already in place. As for the tool itself, initial setup is straightforward.

I have implemented it in-house and with a vendor team. Business needs need to be fully understood and documented. Most of the issues have always been data related. The development team and the business HAVE to get a full understanding of what the data is, where it is stored, and how it is stored. BUSINESS RULES and a DATA DICTIONARY are a must.

Among Tableau, QlikView, and Qlik Sense, I prefer QlikView, due to its higher customization capabilities, its associative nature, and its ETL features.

Standardization in design/development is crucial. FULL communication and documentation with EVERYONE is needed. I don’t know how much time has been lost or efforts duplicated because of a lack of all this.

Data visualization: Simpler and cleaner charts, easier for users to perform self-service, not so steep learning curve for non-technical users; good integration to big data Hadoop and predictive analysis, well integrated with other ETL tools. Less-technical maintenance cost compared to QlikView, which requires the developer to do more scripting.

It is easier for users to do self-servicing; simpler, cleaner and story-telling charts; and requires less lead-time to develop charts/dashboard integration with predictive analytics and big data platform Hadoop.

Enhance standard reporting like QlikView (scheduled reports, notifications etc.); for MNCs, the server version license is not cheap; and row-level security: every user needs a DB account, which can give a hacker more opportunity to attack via more DB accounts.

I have used Tableau for two years.

I had a deployment issue: No version control means you can't roll back to earlier versions once overwritten/published.

I rate technical support 8/10.

Initial setup was straightforward.

An in-house team implemented Tableau.

Tableau seems to have easier user acceptance than QlikView because of the simpler charts and big data integration, increasing the possibility of helping an organization transform from reactive analysis to predictive analysis.

Server versions are not cheap and pretty similar for both Tableau and QlikView in terms of price. I don't see a big difference; it really depends on your organization's need.

I also evaluated MS BI and QlikView. Compared with MS BI, I find Tableau and QlikView have stronger visualization; intuitive data insights; less development lead time - MS BI requires creating OLAP cubes, which takes more time; clearer and simpler charts; and intuitive data mapping/insights.

If you have more developers/technical people and want to do more standard reporting without Hadoop, go for QlikView; if you have more business users with some SQL knowledge and would like to do predictive analytics, and integration with big data platform Hadoop, go for Tableau.

It can build in-memory data with an easy-to-use interface, connecting numerous data sources and linking referenced tables/origins. It also has an awesome Sense-Me tool that indicates the most appropriable graphic to use with selected information (dimensions and measures) and, in my opinion, works like a charm!

It shows us our client’s profile, our best services and what areas are not satisfying the target. Also, it gives us a better sense of market needs, using non-structured data (like social media, government data).

It needs a more robust way to connect and share the "big-data" origin. It also needs an easy-to-develop interface for creating new charts and tools in business dashboards.

Version 8: 10 months, Version 9: 1 month.

I have not encountered any deployment, stability or scalability issues.

Tableau has incredible consulting people and comprehensive support professionals, solving and clarifying any questions.

We used (and continue to use) SAP Business Objects 4.1 Edge (and all the embedded tools...). We acquired the SAP BO licenses to initialize our business intelligence project. But, our bigger problem is using lot-and-not-linked tools to generate insights. Some of our needs are only answered by Explorer, another only by Dashboard Design (Xcelsius – and it’s so old...), another only by Lumira (and can’t be viewed on LaunchPad – The Web-Portal of BO - forcing users to install the app on their machines without mobile support).

Tableau is an easy-to-install tool, like Next-Next-Finish!

We installed it by ourselves, only viewing the vendor’s documentation to make sure we’re using the correct parameters. It is a good way to start; always see what the vendor’s site has in their documentation area.

Our employees no longer have to search for information in many systems and/or use a web search; they can just go to the BI platform and do a lot of analysis by just clicking. So, with this time savings, our ROI is more than 100% - a lucrative investment.

Before looking at the pricing/licensing, research all of the employees’ needs. Make a matrix with their needs and the available BI platforms on the market, checking which platform addresses the way your business way-to-do. Then, determine which users will use the platform to see information, to create information and to build information.

Just test before you buy. All BI platforms have a lot of functionalities and, also, a lot of needs.

• It's easy to connect to, and supports, a variety of datasources
• It supports multiple languages well, which is very convenient for me. When I develop a dashboard in English or Japanese, it can display time differently based on the language you choose. For example, EN: 2010/01/01, JP: 2010年01月01日.
• Stunning graphs, easy to drag & drop dimensions into your dashboard.
• Compresses data well.

We use it to develop dashboards for our customers; they will use these to analyze their business using BI knowledge.

• Multiple choice for filter selection. This is a very big shortcoming.
• Dynamic parameters.
• Currently, it cannot aggregate further on a measure that has been aggregated already
• A button function for dashboards. Sometimes, we need a button to link to another dashboard.
• Display/hide an object based on a parameter as a real function, not using tricks. You can do it using tricks, but it looks so ugly.

I have used it for about two years.

As I mentioned above, sometimes we need to use tricks to develop dashboards, and it has stability issues.

I rate the level of customer service and technical support 8/10.

Initial setup was very easy; just "agree", "next" and "finish".

Our IT support team did it.

No complaints. Reasonable price for professional version.

• QlikView: not worth trying. Not good for support (Qlik Japan); ugly charts; limited functions. It’s one strength is that it's free.
• IBM Cognos: very scalable. You can do anything with your dashboard/report using HTML; good at all functions. However, it's only suitable for big companies, hard to maintain, and very expensive.
• Oracle PBCS/Essbase: good for medium-sized or big enterprises with big/multi-dimensional data; supports Excel. Difficult to set up, and browser-based PBCS is so bad, you may lose your work at any time because of its corrupt JavaScript.
• Tableau is good for small-sized companies; reasonable price. But you get what you pay for: limited functions. It's a data visualization tool, not a BI tool.

• Drag and drop options
• Custom image/icon upload for visualizations
• User-friendly interface
• Easy connection to multiple data sources

With Tableau, use of an external ETL tool is a must if it’s connected to a data warehouse. It doesn’t really provide the room for complex computing or data transformation.

I have used it for about a year.

I have not really encountered any deployment, stability or scalability issues.

Simple. Tableau installation is pretty simple.

Analyze the business need and end users first, and then go for implementing Tableau. Simple reporting can be done in IBM Cognos or various other tools available in the market. What Tableau can bring to the table: better visualizations, ease of use (in case the end users are business guys and not technical folks) and advanced analysis capabilities.

• Highly interactive and intuitive data discovery: helps people see and explore their data.
• Ease and breadth of connectivity to so many different data sources.
• The interface to make joins between tables is greatly appreciated.

Management is simply getting more insights from visual representations of their data, and we’re becoming a more data-driven decision-making organization.

I’d like more data integration across data sources.

I have used it for almost 2.5 years.

I have not encountered any deployment, stability or scalability issues with Tableau Desktop.

I didn’t need much technical support, and I find the on-demand online video library for training new and experienced users is a great asset.

I used IBM Cognos 8 with a previous employer, and I found that tool to be slow and clunky.

The initial setup was done by our company’s Tableau Server team, which I am not a part of.

The Tableau Desktop install was easy.

Tableau has an extensive network of Alliance Partners with expertise in its implementations, so you shouldn’t have any problem in getting adequate support for such a popular product.

• Live connection to databases
• Parameters and calculation fields
• Actions on dashboards

With Tableau, our company was able to overcome some shortcomings with Google Analytics data interaction. As we have many GA profiles, Tableau gives us an opportunity to integrate everything we need into several dashboards. Tableau is a good way to visualize complex Google Analytics data in a user-friendly way.

• Not very well-made dashboard designing
• Lack of formatting options
• Sometimes, not enough operating speed while working with huge amount of data
• In the next version, I would like to see more formatting options and an improvement in overall performance.

Choose Tableau if your aim is to provide yourself or your end users with an opportunity for simple and effective data analysis, with minimal education and maximum results.