Node.js is an open source, asynchronous event-driven JavaScript runtime, Node.js is designed to build scalable network applications.
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Qlik Analytics Platform
Score 8.2 out of 10
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The Qlik Analytics Platform (QAP) is a developer platform for building custom analytic applications based on rich frontend and backend APIs. It gives full API access to the Qlik associative engine to build rich data-driven analytic applications, for example when building web applications for extranet and Internet deployment.
If you need a fast, robust and reliable server side framework that allows you to write JS on the backend and therefore have your project in one language - Node.js is a stand out choice. It can easily handle heavy traffic on very little resources (CPU and memory usage is very efficient). I can't recommend it enough, it is such a pleasure to work with - I feel it gave me back my career. I was so bored with the banality of .NET, I had also come to dislike it's overly convoluted and complicated class structure. Node.js was the fresh start I needed, it can be as simple or as complicated as you like - but even at it's most complicated it can still beat the pants off .NET core any day.
If you want to setup analytics dashboards for reporting or simple data analysis then Qlik is your tool of choice.
Complex data structures are handled well, but you’ll need to keep de amount of data on the low side. Integration with other software is possible and easy.
It's flexible in allowing the development of fully-fledged analysis tools and dashboards, but also smaller "widgets" to embed in our websites to bring stories to life, and enables us to develop things once and then re-use them in different contexts.
The development platform and management console are both easy to use, and, with proper data development by our expert developers, can be used by relatively junior colleagues to produce great-looking and very useful products.
The way the platform handles a mix of data sources from different APIs and internal data stores is good.
We like the visualizations and from a corporate perspective find it easy to develop one-size-fits-all visualizations that present a wide range of data items well in a responsive way.
Node.js is easy and good to use, their support team is also good they always tend to help you, and solve your problem, even we know that Node is free to use and opensource but then also we get support from them but for getting much better results we need to purchase standard or enterprises support provided by them.
Qlik is great for companies with lots of business domains and departments because it scales well, especially if data that is reported is saved in SQL and similar structures. Its ease of use and good UI enables business units to create and manage their own reports. That removes a great burden of creating and managing/modifying these pages from the IT team. Overall, it's a win-win for both IT and business units.
They are all good tools, each having their own pros and cons. Qlik Analytics Platform was easy to set up, more than affordable, and has a good user base. Though not as large as some of the other tools, it is growing every day and for the price, it is very hard to beat. I would recommend it. Microsoft Power BI is a little more intuitive to some users, many of them engineers, because of its similarities to Excel. I do like that it follows a similar structure to Excel but I think that it also has the same old-school GUI, which could be improved on. I prefer the way Qlik Analytics Platform's visualizations look because they appear more modern and smooth rather than rigid.
