Qlik Sense Enterprise - SaaS

Qlik Sense  is used primarily for dashboard creation and data visualization. Wherever there is data slicing and dicing, Qlik Sense  is used for this purpose.

Different infrastructure products are used for applications and mobile applications. The use case involves data warehouse products that use data pipelines to connect with different databases and use a reporting tool such as Qlik Sense.

The best part of Qlik Sense is that you can upload any data and visualize it. You can create a lot of charts and graphs using the data on the fly, and you can visualize data. Qlik Sense also provides support to integrate with many data sources available in the market. The true power is in the ability to connect with any database, get the data, and work with the data.

Qlik Sense comes with a data engine to explore data freely. You can connect with any data store or upload an Excel file and visualize the data in Qlik Sense. Qlik Sense has implemented AI capabilities, although I have not explored many of those capabilities.

The main benefits Qlik Sense provides are quick turnaround time. You can connect to data sources, quickly create reports, and then quickly go online.

Qlik Sense is very easy to use, but sometimes integration is a bit challenging. In our case, we wanted to integrate the cloud version of Qlik Sense, and Qlik Sense is not supporting the on-premises version, so we moved to the cloud version. We had a lot of challenges when integrating Qlik Sense SSO  with the reports that we wanted to show on our web app or mobile app. There were a lot of challenges along with that, but eventually, we overcame those challenges, and things are working fine now.

The integration part is one point for improvement; it could be more simple because I found some complexities with it. The single sign-on part is a little tricky and is not straightforward. We have done multiple rounds with their technical team, and although it got resolved later on, I think that it could have been better.

We started working with Qlik Sense about four years back. I worked on that project and then moved to another project. Recently, we started with another project.

Scalability and availability are very important for any company when we talk about the scalability architecture of Qlik Sense. The reports connect with multiple datasets and databases, and once it loads on your screen, it should be quick, fast, and scalable. That is very important for us.

I would rate technical support from Qlik as a nine on a scale from one to ten.

Positive

Qlik Sense was chosen instead of Power BI because we strategically decided a long time back to onboard Qlik Sense, around four or five years back. At that point, Power BI was also good, but it had issues connecting with multiple databases and generating reports. Qlik has the NPrinting solution, which we thought was good. Qlik Sense was providing us the on-premises version, which was cheaper. Now that they have moved to just the cloud, they are not supporting the on-premises versions, so I think they are comparable with Power BI now.

There are products such as Power BI that are one of the main competitors of Qlik Sense.

I do not have suggestions for additional functions they can add to Qlik Sense.

For now, we are satisfied with the functionality of Qlik Sense; whatever we required, it is pretty much there. We are pretty much satisfied with the reports that it is able to generate.

Qlik Sense was purchased directly from the vendor, but I am not involved in the purchase process.

MongoDB is one database that we use. We have PostgreSQL  DB that we use for daily activity. For NoSQL, we use MongoDB, and for SQL, we use PostgreSQL  DB.

We are mostly using AWS  infrastructure right now, but we are exploring some of the AWS  products also, and we use some products from Azure , such as Entra for our SSO .

I would give this review an overall rating of eight out of ten.

Public Cloud

Amazon Web Services (AWS)

What do you like best about the product?

This platform offers a solid development environment, providing robust controls that clearly separate development spaces from published dashboards. Its data integration capabilities are impressive, with numerous connections available for a wide range of data sources and systems. I also find it effective for exploring data and analyzing trends and performance, as the dashboards are easy to drill down into and filter.

What do you dislike about the product?

The learning curve is a bit steeper, and the interface is less intuitive for standard users, which means it can take longer to develop dashboards compared to Tableau or Power BI. Additionally, there are fewer custom visuals available than what Tableau offers. The cost is also relatively high when compared to Power BI.

What problems is the product solving and how is that benefiting you?

The platform enables the integration of data from various sources, offering centralised dashboards and reporting capabilities that support a broad spectrum of business needs, including Financial, Commercial, and Operational functions.

What do you like best about the product?

Qliksense helps our organization with multiple data source. Streamline process and help with analytical information.

What do you dislike about the product?

The tool takes too much time load the data.

What problems is the product solving and how is that benefiting you?

Qliksense helps our organization with multiple data source. Streamline process and help with analytical information.

What do you like best about the product?

There are several features in qliksense which makes it stand out among BI tools specially while handling large dataset such as its associative model, wide variety of functions to transform data and set analysis to handle the data which is going to be displayed in UI.

What do you dislike about the product?

What I most dislike about Qliksense is the amount of time I had to spend to get handle on all the script function and kind of loads. It has vast number of functions which is not easy for beginners to use.

What problems is the product solving and how is that benefiting you?

Qliksense allows integration of data from different data source. Also it allows features such as incremental load and binary load which help to reduce data redundancy, reload time and makes the load less memory extensive.
Qliksense script allows us transform messy data into structured, analysis ready formats.

What do you like best about the product?

Qlick Sense is best tool for data analysis and we can connect multiple data source with Qlick Sense and make report accordingly.

What do you dislike about the product?

When we comparision with static target with achived target, multiple values do not change by filter.

What problems is the product solving and how is that benefiting you?

Qlick Sense solves so many problems like all data in single plateform, creating customization reports, able to take decesion basis on reports.