Overview
Qlik Sense is a complete data analytics platform that sets the benchmark for a new generation of analytics. With its one-of-a-kind associative analytics engine, sophisticated AI, and scalable platform, you can empower everyone in your organization to make better decisions daily, creating a truly data-driven enterprise.
Note: This offering does not allow you to upgrade from Qlik Sense Business or extend an evaluation of Qlik Sense Enterprise SaaS. This offering requires a new tenant from an account owner who has not previously created a Qlik Sense SaaS tenant.
Highlights
- Easy and intuitive. Create and share dynamic data displays with drag-and-drop visualizations and layouts. No coding required.
- Create analytics faster. Easily combine and load data, create smart visualizations, and drag and drop to build rich analytics apps accelerated by suggestions and automation from AI
- Let AI amplify your mind. Augmented intelligence enhances human intuition throughout Qlik Sense with suggested insights, automated processes, and natural language interaction
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Qlik Sense Per User | Qlik Sense Enterprise SaaS Per User Charge | $840.00 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
World class, data-driven support Qlik Support Services provides you with world class, data-driven support. Our goal is to ensure your success with Qlik by delivering the right level of expertise and coverage for your needs. Our customer-first mindset, along with our strong set of tools and processes, make us easy to work with and ensure you receive the highest levels of service.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Qlik sense Review
Experience of working on Qliksense for 5 years
Qliksense script allows us transform messy data into structured, analysis ready formats.
Data organization for Data Analysis with Qlick Sense
In-depth analysis capabilities shine but wider support resources are needed
What is our primary use case?
I am working in data analytics. They are the best solutions in the industry. With Qlik Sense , there is a way to integrate it within the company for sharing. It is good for certain use cases, though there are positives and cons for it as well.
What is most valuable?
I am working with QlikView mainly, and with Qlik Sense , the whole Qlik environment. It is licensed by the company I work for.
QlikView is highly manipulable, so you can build on top of the environment they already have to create your own solution for the problems you have. That is the positive for it compared to something Power BI.
What needs improvement?
Everything depends on the use case, but I would prefer Power BI because of how mainstream it is.
There is not much information available. It is not a mainstream tool that many companies use, so if you are doing something that has not been done before, you can find it challenging to get an answer. Unlike Power BI, where there are many examples of what you want to do elsewhere, with QlikView this is not the case.
The support for it could be improved. Growing the support online would be beneficial for Qlik. Having more guides on complex tasks you want to do with Qlik would help. There is support online and a Qlik community that shares solutions for common problems, but for quite niche requirements, it does not have that sort of support.
For how long have I used the solution?
It has been almost a year now.
What was my experience with deployment of the solution?
When the company I work for was installing the environment, it took them a long time to do it. The company did not have the scale to get it up and running efficiently. It took them a year or two to get everything working properly because the way we use it in the company is very specific to our professional services. It took them a while to get it working the way they wanted it.
What do I think about the scalability of the solution?
Power BI has the edge on scalability. The Microsoft environment has the advantage because of its size. It is easily scalable with Microsoft, with other services Azure and other tools they provide.
How are customer service and support?
I have never contacted Qlik myself.
How would you rate customer service and support?
Positive
How was the initial setup?
It is based on SQL and T-SQL mainly, so if you are experienced with those languages, you would find your way easily.
What's my experience with pricing, setup cost, and licensing?
It is not about performance. It is just about how expensive it is to implement.
Which other solutions did I evaluate?
For the company I work for, I have heard that Power BI would be a cheaper environment. That is why they are moving forward by integrating Power BI.
What other advice do I have?
I think something Power BI has the edge over Qlik Sense. I am not working directly with certain aspects, so I cannot comment further on those. On a scale of 1-10, I rate this solution a 7.
Quick by a Qlick
Dashboard and data exploration are easy.
Data connections with multiple cloud platforms allow for easy insights.
Customer support is superb.
Activation and implementation are easy.
Data exploration with multiple users is not easy.
Charts
Data extraction
Data Manipulation