Grow vs Qlik Sense: Which is a better fit?

Thomas: Hi, my name is Thomas and I'm a senior director of information services. I would give Grow a five out of five rating. For more reviews like this, click the link below. Previously we were using more enterprise in Tableau, however it did not fit our business needs. While Tableau is a great tool in its own right, it did not provide the ability to really scale this tool to thousands of users across hundreds of clients to be able to distribute this effectively both internally and externally and everyone to interact in the same BI and data visualization environment in a way that Grow has enabled us to do. The reasons we chose Grow were really around three main components. One was accessibility; being able to not only have a very accessible tool to our team in terms of ease of use and the low-code environment, but accessible to internal stakeholders, lots of different visualizations and lots of different customization options, and also accessible to external stakeholders when it comes to the number of users. Accessibility was a big component, as well as the overall ability of Grow to make BI accessible to the masses. Grow has a very simple interface, both on the front end and the back end, that allows people with very, very little data knowledge to take advantage of the tool and be able to get a lot out of the tool. Those two components along with the general low price point are the three primary reasons that we decided to go with Grow. Overall, it was incredibly easy to get started with Grow. Not only is the internal tools in terms of the user management account management very simple and straightforward compared to some of the more enterprise platforms, but specifically data connections is where Grow makes it really easy. If you have experience using other visualization tools you know it can be a challenge to make sure that the API integrations are effective, but the plethora of native integrations Grow offers makes it incredibly easy. Most of the time it's just like you're logging into the platform or website. So getting started with Grow and being able to produce metrics and produce visualizations was easy to hit the ground running with. If you're considering Grow, I would honestly ask you to consider your use case and how you're going to functionally use this business intelligence and data visualization tool. If it is an internal only use case, and you have incredibly complex use cases around certain scenarios, graphs, data sources, whatever it may be, maybe Grow isn't the right solution for you. However, I would venture that most of the people out there, you actually have a more regular use case than you think. You're trying to get data connections from a number of different sources into a single location that your team can easily access and use. The entire purpose of Grow is bringing business intelligence to the masses, and that's what this is about. So if you are considering that use case and it fits you, I would absolutely encourage you to get ahold of the folks at Grow and give it a try.

Balaji S.: My name is Balaji, working as a data analyst. I'm here today to rate QLIKSENSE and I would rate QLIKSENSE three out of five. For more reviews like this, please click on the link below. Thank you. At our company, we using QLIKSENSE for almost three years to slice and dice into our data and build publisher dashboards for the leadership and to do our self-service analytics for our business users. QLIKSENSE is very friendly for developers. In terms of, opens the coding very easily for us. Be able to customize the dashboards as per the developer's needs. Compared to other tools, so we feel like this is the only tool that opens us to do a lot of coding and customize the dashboards as per our needs. It kind of depends really on the coding. That's the good part and the bad part as well. Because it's not very friendly to our users to built their own dashboards. They really depend on the developers to do the coding and develop these dashboards. And the dashboards still... the application still needs a lot of improvement with the formatting. It needs a good amount of development with the AI [admission 00:01:21] and those stuff. At this point it won't have any opportunity to built any statistical models.