Qlik Sense vs Tableau Desktop

Qlik Sense is a data analysis and visualization software. It operates with an associative QIX engine which enables the user to link and associate data from varied sources and carries out dynamic searching and selections. SaaS-based visual analytics solution that empowers you to collaborate, share insights, and see the whole story in your data anywhere at any time.

Tableau Desktop is better for data analysis and visualization. Its advanced visualization features helped us better understand our business and customer demographics. We use Tableau Desktop to track our team’s progress. Real-time analyses and interactive dashboards are helpful for monitoring data. We can now create and share insights in ways we couldn’t before. It’s easy to put faith in and use these insights. Tableau Desktop can compare data from previous years with weekly, monthly, quarterly, and annual comparisons. It assists businesses in identifying the best and least-sold products. However, this requires expensive licenses and skilled personnel, which small businesses cannot afford.

• I use the smart search feature often to help locate key parts of information across data sources.
• The expression editor is fairly easy to learn even if you don't have an advanced background.
• The data load editor has both advanced and basic functionality depending on your skill level and business needs.

• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

• Not a lot of room for customization as we were used to in QlikView
• UI and default navigation can be very clunky and not user friendly
• Although the backend is fantastic, the front end experience leaves a lot to be desired. As a developer you don't have a lot of options to customized your app unless you turn to Javascript, CSS and HTML. This is not a common stack you would find in most BI developers

• Formatting the data to work correctly in graphical presentations can be time consuming
• Daily data extracts can run slowly depending on how much data is required and the source of the data
• The desktop version is required for advanced functionality, editing on [the] Tableau server allows only limited features

Qlik Sense is a constantly improving it's software and working with its' users to make it better. They are great at keeping their users informed of progress and care about delivering a quality product

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

Standard user interface and powerful analytic functions is GREAT. As technical person working in the background there are more things to do to make this a completely great tool. Some functions that should be standard requires consult scripting and hours. Now we are using it quite advanced and with many servers and in combination with QlikView. So overall I love the tool. But it could be better and user friendly and powerful in the background

It is a good tool for creating beautiful visualizations and sharing dashboards. It does offer a variety of features and also making interactive dashboards. It is easy to learn and create custom visualizations really fast. It does offer good API connectivity to gather data. But it lacks the structure for data cleaning and processing.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

Not only can you ask the support team for help, but you can also ask the community. Also with the community there is a vast amount of problems that have already been solved. The problem you are encountering has a likely chance of already being discussed and even solved in the community section saving you time from reaching out.

The Tableau Desktop's support team has been very helpful and tend to response very quickly. After all you have paid very premium price for the product and it goes to the services. This makes using the tool much easier for these who doesn't have such experience to get help quickly.

The instructor was very knowledgeable.

It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

The online instructor was very knowledgeable.

The training for new users are quite good because it covers topic wise training and the best part was that it also had video tutorials which are very helpful

Hire Qlik consultants. It's better done by them or with their aid.

Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

Tableau is relatively easy to use- it might even be easier to use than Qlik but it was much more expensive. The Engineering team liked Microsoft BI because it was similar to previously used formats, but did not have the user interface that we believe Qlik does better. Price wise, it is hard to beat Qlik. There is less documentation with Qlik, but still a lot.

Tableau hands-down wins based upon functionality, interoperability with a wide variety of enterprise-class data connections, end-user support, and quality of visualizations. Tableau Desktop offers a substantially more robust, refined, and mature product. It became quickly apparent that there was no real comparison. For applications that need fast, accurate analytics using a wide portfolio of underlying data sources, Tableau Desktop is the clear winner.

Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• Once an app is published and running good, we can quickly see the time we save to analyze data.
• It's hard sometimes to realize the money we save by using this system.
• People start understanding the power of data and asking more questions.

• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.