Click vs. Mock Drama | BI tool comparison

March 31, 2022 0 Comments

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Qlik and Tableau help business executives and decision makers create data-driven strategies. You can save a lot of time and energy with the features of these business intelligence tools such as automated data collection, analysis and visualization.

The two BI suites provide cloud-based services and allow the creation of directed apps and dashboards from any source, but they do not have the same procedures and functionality. Learn about the key features of Qlik and Tableau to help you evaluate each solution and choose the right one for your specific context and expectations.

Click Sense: Key Features

Qlik Smart is particularly adept at creating visualizations and mapping, but it can also analyze using the QIX engine, Qlik’s collaborative technology for data discovery, and artificial intelligence for aggregating data from multiple sources.

See: Feature Comparison: Time Tracking Software and Systems (TechRepublic Premium)

BI Suite Power provides users with an advanced configuration. For example, engines can take scripts as input to make predictions. Newcomers can easily use the drag-and-drop interface to create applications.

Qlik focuses on relevance and security.

Mooknatya: The main feature

Full of theatrical features and interactive visualization. It can source data from multiple sources, such as custom databases, cloud services, or Google Analytics, and aggregate all data locally. No complex macros or advanced scripting are required to get started.

Its capabilities are quite high, including statistical, behavioral, multidimensional or predictive analysis. Its tool, known as the “Einstein Discovery”, utilizes Salesforce’s no-code platform and machine learning to predict and recommend new trends.

The software focuses on intuition and does not require any pre-selection. Users of different levels of skill can use it this way, but power users can still add more filters and optimizations. Developers may ask the Performance API to integrate software into existing apps or websites.

Compare the features of Mooknatya and Qlik

Features Click Pictures
Megh, Saas 3 3
On-premises placement 3 3
Personal planning 3 3
Performance metrics and dashboards 3 3
Offline functionality 3 3
Template, model, drag-and-drop interface 3 3
Ad hoc questions and reports 3 3
Sales and marketing report 3 3
Automatic and scheduled reporting 3 3
A / B test 3 3
API 3 3
Third party integration 3 3
Real time analysis 3 3
Predictive analysis and machine learning 3 3
Bayesian and statistical analysis 3 3
Behavioral analysis 3 3
Benchmarking 3 3
OLAP (multidimensional analysis) 3 3
Relational display 3 3
Strategic planning 3 3
KPI 3 3
Desktop support (Web, Windows, Mac) 3 3
Mobile support (iOS, Android) 3 3
Documentation / knowledge base 3 3
Personal training 3 3
Video 3 3
Webinar 3 3
Data visualization 3 3
Phone support 3 3
Chat / email support 3 3
24/7 support 3 3

Data analysis

Both Qlik and Tableau provide advanced analysis tools and models. Users can build pipelines from multiple sources and take advantage of machine learning benefits for data sorting.

However, Click Data focuses on associations while Mookana promotes search. In other words, Qlik prevents users from losing critical relationships that are easy to miss, while MockNat wants to empower users to create their own search patterns and find clues on their own.

Data visualization

Aesthetics and design can really make a difference when it comes to visualization, as the idea is to highlight key images and trends for easy comprehension.

Mooknatak can create compelling visualization. You can get an overview in its public gallery.

Qlik provides a variety of pre-defined charts and custom objects that you can use and reuse in sophisticated visualization, but with less graphical options. As a result, Qlik has more granularity, but newcomers may find it somewhat irresistible. Tableau is easy to use.


You get a decent level of security with two solutions. Their services rely on trusted data sources and other important aspects of enterprise security, but Qlik has better capabilities, especially when it comes to access control.

While Tableau complies with broader security obligations for data, cloud-based activity, or network requests, Qlik provides more granularity and access control, for example, including section access that may reduce data to appropriate scope.

While this requires more technical expertise, power users and administrators can appreciate this possibility.


The two companies offer similar installation features (SaaS, cloud-based, on-premise) and can fit different companies regardless of size and size.

The value of dumb and Qlik

Both suites offer free trials but Mooknatak now offers a free app with rich features for Mac and Windows, allowing anyone to create and share free visualizations, which may make a difference for some users.

Both companies have prices that increase with the number of users, which is common in enterprise software.

Qlik has only two offers (Business and SaaS) starting at $ 30 per month / user, while Tableau has three packs (Viewer, Explorer and Creator) with different licenses that you can module to scale and per user. You can start with 15 per month.

Qlik customers looking for high-scale performance can choose the client-managed option, an in-class solution for extending analytics across departments and organizations.

Editor’s Note: Prices may vary over time and are given as indicators only at the time of writing.

How to choose your BI tool

The main indicator

Interesting Facts: Both companies have dedicated pages that compare their products with each other:

Both tools have Gartner favorable reviews and the same overall rating is 4.3 / 5. It should be noted that Mooknatya has more than twice as many reviews.

Both use machine learning to identify trends and create powerful models, but much less technical skill is required for mockery and it is recognized as a reference in the industry.

Supports a wide range of devices, operating systems and web and mobile platforms. Data and reports can be accessed from almost any device. The two companies have built strong communities and provide great support.

You get a decent level of security with both tools. Their services rely on trusted data sources and other important aspects of enterprise security, but Qlik seems to have superior access control capabilities.

Questions to ask before buying Tableau or Qlik

Before jumping in and in addition to the above points, here are some questions you can ask and the answer to both products:

Do I really need a BI tool?

If you’re a business executive or a decision maker and you struggle with a lot of reports and data every day, you may need to manually cross-check the key figures you wrote in a PowerPoint document, both Qlik and Tableau can change your life.

These two BI tools offer many other advanced automations that bring value.

Is it easy to use?

MockDraw is easy for beginners, as Qlik users have to write relatively advanced scripts to perform complex tasks such as clustering or prediction, where MockDown abstracts most of the complexity.

There is a real effort to alleviate the pain of those who want to explore data and fly and discover new insights. However, Qlik fits the improved workflow.

However, both tools have drag-and-drop functionality for beginners.

How fast is the learning curve? Does it require a lot of training?

There is always time to learn, especially if this is your first BI tool, but both products have detailed documentation and video, even personal training that can help you.

How flexible is the tool?

Is it Mac-or Windows-friendly? How does it integrate into my existing workflow? Does it have third party integration? Is it stretched?

Yes, for everyone, but the play seems to be more convenient at that point.

Are there any hidden costs?

Although difficult to evaluate, if you handle a large amount of data and extra-large datasets, calculating BI tools may require significantly more RAM and CPU. Vertical scaling can thus become a problem at times.

How good is the visualization?

Aesthetics and design can really make a difference when it comes to visualization, as the idea is to highlight key images and trends for easy comprehension. Mock plays can create sophisticated visualizations.

Further comparison of BI solutions

Read these TechRepublic articles: Looker vs. Tableau, Power BI Vs. Tableau, Power BI vs. Zoho Analytics, SAP BusinessObjects vs. Oracle BI, Tableau vs. Databox, Domo BI vs. Dundas BI, Zoho Analytics vs. Qlik Sense and Top Power BI options.

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