Qlik Analytics Platform vs. Swiftify

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.

Incentivized

For me as a picky person I never used the file convertor but for a small portion of code, it is good. With the classes that have more than one initializer, it got confusing and I had to dig to find the exact issue to fix.

Incentivized

• 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.

Incentivized

• Put in your Objective-C code, select the version of Swift language to convert, click convert. That's all!
• Swiftify is now creating a platform to convert Objective C to #C, something that can help for different development projects platforms.
• Swiftify offers a few free converts to try to show you the power of it. Their price for a subscription plan is really good for big projects.

• The learning curve could be less steap
• Very big sets of data are harder to process with the alike software
• There could be a better role based setup posibilities

Incentivized

• It lacks general performance and availability
• It doesn't handle Objective-C macro well
• Overall conversion speed expected to be much better

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.

Incentivized

There are constant upgrades to improve the conversion.

Incentivized

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.

Incentivized

Swiftify tries to convert the code even if the code can not be executed in a real situation. I chose Swiftify because most of the times you just need to convert one line, one method... That of course, it is using and used by other code that you didn't add in the conversion code, but you just need to convert that for now. In this situation, Swiftify converts the code, other ones such as iSwift will report an error in the code and will not convert it.

Incentivized

• Simplification and adaptability of analyzes according to the type of user
• Integration with data sources and direct via rest API, allows for simplification in modeling
• Need for a lot of specific knowledge of the instrument and the range of products in order to best meet the needs

Incentivized

• good ROI, saves a lot of time.

Incentivized