QlikView® is Qlik®’s original BI offering designed primarily for shared business intelligence reports and data visualizations. It offers guided exploration and discovery, collaborative analytics for sharing insight, and agile development and deployment.
N/A
Tableau Desktop
Score 8.1 out of 10
N/A
Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$75
per month per user
Pricing
QlikView
Tableau Desktop
Editions & Modules
QlikView
Custom
per user
Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
QlikView
Tableau Desktop
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
On an perpetual license basis, based on server plus number of users.
Contact vendor for pricing.
All pricing plans are billed annually.
More Pricing Information
Community Pulse
QlikView
Tableau Desktop
Features
QlikView
Tableau Desktop
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
QlikView
8.0
Ratings
2% below category average
Tableau Desktop
8.3
Ratings
2% above category average
Pixel Perfect reports
8.10 Ratings
8.80 Ratings
Customizable dashboards
8.00 Ratings
8.40 Ratings
Report Formatting Templates
8.00 Ratings
7.80 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
QlikView
8.3
Ratings
3% above category average
Tableau Desktop
8.7
Ratings
8% above category average
Drill-down analysis
9.00 Ratings
8.60 Ratings
Formatting capabilities
7.00 Ratings
9.20 Ratings
Integration with R or other statistical packages
8.30 Ratings
7.70 Ratings
Report sharing and collaboration
9.00 Ratings
9.20 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
QlikView
7.9
Ratings
5% below category average
Tableau Desktop
8.1
Ratings
3% below category average
Publish to Web
8.00 Ratings
7.30 Ratings
Publish to PDF
9.00 Ratings
7.90 Ratings
Report Versioning
7.50 Ratings
8.20 Ratings
Report Delivery Scheduling
7.30 Ratings
9.20 Ratings
Delivery to Remote Servers
00 Ratings
8.00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Sales data validations have helped manage our justifications in the past, especially with regard to new product development and new business introduction. It has also been helpful in identifying trends with business impact and direction specific to quarter and monthly sales from ERP data as well as decisions to purchase equipment of staffing based on run rates and product demand.
One thing that can get out of hand is data output - if you aren't careful in your query, you may be overloaded with data dumps and drown in the amount of info you have to filter through. This is a user caution, not a comment on the software itself.
The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).
The Visualizations graphics are really good and the color options help in designing attractive charts. They help to convey more information and can be made interactive.
You can add filters with offer you to plug and play with values and understand different outcomes.
You can drag and drop options while creating charts and dashboards. also it is a very fluid layout.
We found that QlikView can be a bit slow in supporting some forms of encryption. It is web-based and we needed to upgrade all of our server to not support the older SSL and TLS 1 protocols, only support TLS 1.2 and TLS 1.3. However, QlikView could not run with TLS 1.2 and TLS 1.3. We had to wait over six months to get a version that would handle the newer TLS versions.
There are so many options with QlikView that you can get lost when developing a visualization. There are still items I have not yet figured out, such as labeling a graph with the name of a selected detail item.
QlikView works by pulling the data it is going to use for visualization into its database. I am a security reviewer and I need to make certain that PII and PHI is not pulled by QlikView for a visualization, otherwise this could become a reportable indecent.
Ease of use, ability to load from pretty much any data source. today I created an application that loaded time sheets from excel that are not in a table format. With Qlik's "enable transformation steps" I was able to automate loads of multiple spreadsheets and multiple tabs easily. Could not do that with any other tool.
Because right now its the best option out there (disclosure: I haven't used Qlikview or some of the other direct competitors of Tableau). The big investment is in Tableau Server not desktop. For the cost of the license of Tableau desktop, its a pretty good deal. You can hook it up to pretty much any data source easily. You can easily share the visualizations with your team/colleagues easily. Tableau Desktop is generally easy to use for business users. But the more advanced stuff is better suited for a analyst or someone with a IT/CS background.
I do think there is a steep learning curve to the program and that it requires a high level of experience or a data scientist background to fully take advantage and implement dashboards, and users will require ongoing training to maximize ROI, but it is absolutely worth it considering the impact it can make on an organization.
Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.
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
The documentation presented by QlikView is very clear and exact. This makes the process of implementation more easy. If any questions arise while creating the reports it is very easy to access the QlikView documents through the internet. QlikView also has a Qlik Community, full of different questions and answers. This helps a lot to resolve issues even without contacting the support team.
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.
My team attended, but I cannot myself rate, but I think it was good as they've successfully launched a training program at our company themselves for users. It was 3-4 day training.
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.
Training was as expected. The demo environments tend to be more fully featured that our own environment, but the training was clear and well delivered.
I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems
It has taken some time to get used to Qlikview and the backend team behind it. From understanding the new regulations on using less images and also pushing for more tools (such as full compatibility on desktop, laptop, ipad, phone). We were given training on this and have helpful tips to find analytics behind Qlikview but it is very much also a learn as you implement system.
Time needs to be spent ahead of implementation to make sure data sources are set up and ready. Consultants need to understand the data sources and the goals before setting foot on-site. Installation is easy, learning to use it takes time. The training resources available are great.
With QlikView and Qlik Sense the users can answer their own questions more interactively. They also can build their own visualizations without waiting [for] someone from IT to create a new report. The users can navigate through the data finding out relevant information. Through QlikView color code, users can get aware of the relationship between the different data points.
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other benefits is that both programmers and non-programmers can equally explore and create their own opportunities, and seamless integration is possible.
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.
Speed to market is the really big thing. You can attach to multiple data sources quickly and build a consumable model for a dashboard. It doesn’t require IT talent to build. We have built more dashboards and added more users in the last year, then in our entire history. I was at a company of 30k+ employees before, and we didn't have near this level of BI adoption.
As a result, we are seeing benefits across business function. For example, within sales, our pipeline has much more visibility. It allows for much faster decisions on things like quotas. One of our biggest power users is in sales ops. She feels her dashboards load 10x faster than our previous tool and she can make changes on the fly.