

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 | Mindshare (%) |
|---|---|
| Amazon QuickSight | 3.3% |
| Microsoft Power BI | 8.0% |
| Tableau Enterprise | 6.0% |
| Other | 82.7% |
| Product | Mindshare (%) |
|---|---|
| Qlik Sense | 4.9% |
| Tableau Enterprise | 9.8% |
| Domo | 4.4% |
| Other | 80.9% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 10 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 34 |
| Midsize Enterprise | 40 |
| Large Enterprise | 88 |
Amazon QuickSight offers rapid visualization creation, cloud-native AWS integration, ease of use, scalability, and affordability. With strong data connectors and machine learning tools, it supports real-time insights and intuitive data handling.
Amazon QuickSight is designed for fast visualizations, interactive dashboards, and extensive data connectivity, making it suitable for finance and academia. Offering browser-based access and advanced security, it enables organizations to integrate data seamlessly, handling both real-time and historical insights. Despite room for improvement in visuals and integration with other cloud providers, its flexibility and powerful analytics serve diverse reporting needs efficiently.
What are Amazon QuickSight's most important features?Amazon QuickSight is employed in finance and academia, aiding in KPI tracking and analytics through efficient data integration and visualization. It supports strategic business decisions by offering insights from sources such as S3 and MySQL, making it valuable for financial reporting and research needs.
Qlik Sense offers drag-and-drop dashboard creation, multi-data source integration, and self-service analytics. Users benefit from associative data modeling and real-time insights. The platform enhances quick deployment across any device with its flexibility and ease of use.
Qlik Sense provides rapid dashboard creation and seamless multi-data source integration, supporting real-time analytics and high-speed ETL capabilities. Users enjoy advanced visualizations and natural language processing within an intuitive interface. The solution's in-memory engine ensures fast data processing while offering flexibility and quick deployment on all devices. Its open API facilitates extensive customization and integration with chatbots and third-party extensions.
What are the key features of Qlik Sense?In industries such as finance and sales, Qlik Sense enables interactive data analyses and dashboard creation across departments. It supports business intelligence for financial reporting, sales analysis, and decision-making. By automating reporting and combining data from multiple sources, it facilitates users in generating insights and enhancing data accessibility for informed business decisions.
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