

Qlik Sense and Amazon QuickSight are two major contenders in the data analytics and business intelligence space. Based on the comparisons, Qlik Sense has the upper hand for complex data analysis due to its robust features, while Amazon QuickSight is preferred for seamless AWS integration and cost-effectiveness.
Features: Qlik Sense provides enhanced data profiling, powerful data prep capabilities, and rapid application development. Its associative engine allows for deep data exploration without predefined paths. Users appreciate the dynamic and scalable visualizations. Amazon QuickSight offers efficient integration with AWS services, ease of use in programmatically creating visualizations, and is noted for low upfront costs. It excels in creating basic dashboards swiftly with capability to handle large datasets.
Room for Improvement: Qlik Sense users seek better error handling, improved real-time data capabilities, and more customization options for visualizations. Enhancing integration with other tools and collaboration features has been suggested. Amazon QuickSight is noted for limited customization and needs more advanced data governance features. Users desire more powerful visualization options and integration with non-AWS services.
Ease of Deployment and Customer Service: Qlik Sense offers flexibility with deployment across on-premises, private, and public cloud environments, though it may require initial setup for optimal performance. It has vibrant community support but official support can be slow. Amazon QuickSight is praised for its quick deployment in AWS environments. Its customer service is generally responsive and effective, though complex queries could be handled better.
Pricing and ROI: Qlik Sense offers flexible pricing models but is often more expensive, especially for large user bases or on-premises setups. Its ROI is deemed high due to its robust capabilities and rapid insights. Amazon QuickSight provides competitive pricing for AWS users, utilizing a pay-as-you-go model that can be cost-effective. However, it may become expensive with extensive, long-term use due to ongoing AWS service costs.
In my organization, we moved from OBI to Qlik Sense due to limitations with OBI, resulting in very high ROI.
I would say out of all the support experience I've had, only 5% took quite a long time to respond to the support message.
I would say at the moment, so far, good in the sense of Amazon's technical support.
While tech support is comprehensive, the stability of Qlik Sense means I generally do not need it.
Technical support requires improvement.
In Turkey, the consultant firms are very professional, and they support you.
It performs well in terms of performance and load compared to others.
Qlik Sense helps analyze data and can handle larger amounts of data compared to other BI tools.
It is easily scalable with Microsoft, with other services Azure and other tools they provide.
The stability is very good.
Understanding how AWS charges for Amazon QuickSight usage is critical for all users wanting to visualize their data effectively.
For example, making automation for filling missing data or reformatting incorrect data formats, and making date corrections.
On the analytics side, we are migrating into Amazon QuickSight. One of the products is already migrating, and the rest is in the pipeline.
Power BI has better visualizations and interactions with updates in 2023 that provide ease of use.
Providing an API feature to access data from the dashboard or QEDs could be beneficial.
There should be more comprehensive documentation and explanatory videos available to help clients understand and calculate capacity-based pricing, making it easier to predict costs before implementing Qlik Sense Cloud.
It is not expensive, but it is also not cheap.
It is just about how expensive it is to implement.
Compared to Power BI, it is definitely costly.
Among the BI tools and data analytics tools, Qlik is the most expensive.
The natural language query is very important, and natural language processing is crucial for disseminating dashboards across multiple formats and mechanisms.
You can measure the progress of sales, and you can measure the weakness or lowest activity of sales in some areas and determine how to improve it.
Interactive dashboards do help with data analysis.
From an end-user perspective, it's convenient and performance-oriented, providing something meaningful from all the organization's data.
The true power is in the ability to connect with any database, get the data, and work with the data.
It is a single product that I can use as an ETL database, BI, and more.
| Product | Market Share (%) |
|---|---|
| Amazon QuickSight | 3.7% |
| Microsoft Power BI | 8.9% |
| Tableau Enterprise | 6.2% |
| Other | 81.2% |
| Product | Market Share (%) |
|---|---|
| Qlik Sense | 5.3% |
| Tableau Enterprise | 10.1% |
| Apache Superset | 4.9% |
| Other | 79.7% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 87 |
Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. Using our cloud-based service you can easily connect to your data, perform advanced analysis, and create stunning visualizations and rich dashboards that can be accessed from any browser or mobile device.
Qlik Sense is a visual analytics and business intelligence (BI) platform that gives users full control over their system’s data. From this platform they can control every aspect of their system data. It maximizes an organization’s ability to make decisions driven by their data.
Benefits of Qlik Sense
Some of the benefits of using Qlik Sense include:
Reviews from Real Users
Qlik Sense stands out among its competitors for a number of reasons. Two major ones are its associative analytics technology and its remote access capability. Qlik Sense employs an associative analytics engine that gives users the ability to take their data analytics to the next level. Users can create visual connections between different datasets spread across their network, creating deep insights that enable users to gain a full understanding of their data. This engine is easily scaled up to allow a large number of users to benefit from the deep insights that it provides. Users can access Qlik Sense from anywhere in the world. Qlik Sense has an online portal that can be used consistently from anywhere at all. Having the ability to remotely analyze data gives users flexibility when it comes to choosing how to deploy their manpower.
Jarno L., the managing director of B2IT, writes, “The associative technology features are the solution's most valuable aspects. Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the user interface point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that.”
Tami S., the senior business intelligence analyst at the La Jolla Group, writes, “With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application. We appreciate that Qlik Sense is browser-based and the user experience is the same whether at home, in the office or on a boat. As long as the user has internet access, performance is the same.”
We monitor all BI (Business Intelligence) Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.