Firebase vs. Qlik Analytics Platform

Firebase should be your first choice if your platform is mobile first. Firebase's mobile platform support for client-side applications is second to none, and I cannot think of a comparable cross-platform toolkit. Firebase also integrates well with your server-side solution, meaning that you can plug Firebase into your existing app architecture with minimal effort.

Firebase lags behind on the desktop, however. Although macOS support is rapidly catching up, full Windows support is a glaring omission for most Firebase features. This means that if your platform targets Windows, you will need to implement the client functionality manually using Firebase's web APIs and wrappers, or look for another solution.

Incentivized

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

• Extremely robust. Has about any tool you can think of under one roof making it extremely useful as a backup platform for data analytics or small teams that need something quickly.
• Intuitive and easy UI/UX. Being made and owned by Google, you expect nothing less. Very easy to use for anyone that has any marketing or analytical experience especially in Google Analytics (which I just assume all marketers do).
• Safe, secure, and sturdy. Never need to worry about downtimes or misinformation as it's as clean and safe as it is being run by Google.
• FREE! What else is there to say. Unless you're an extremely large application handling hundreds of thousands to millions of users, this pay as you go plan will stay free.

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

• Firebase/Firestore has very limited support for querying more complicated items; for example, performing a simple string search is not possible.
• While upfront costs are low, costs can grow quickly if you're not careful about what you are being billed for.
• Dashboards have at times shown different information to what is billed, and support from Google is less than stellar and not as effective as that from Amazon or Microsoft.

Incentivized

• 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

Firebase functions are more difficult to use, there are no concepts of triggers or cascading deletes without the use of Firebase functions. Firebase functions can run forever if not written correctly and cause billing nightmares. While this hasn't happened to us specifically it is a thing that happens more than one realizes.

Incentivized

Our analytics folks handled the majority of the communication when it came to customer service, but as far as I was aware, the support we got was pretty good. When we had an issue, we were able to reach out and get support in a timely fashion. Firebase was easy to reach and reasonably available to assist when needed.

Incentivized

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

Before using Firebase, we exclusively used self hosted database services. Using Firebase has allowed us to reduce reliance on single points of failure and systems that are difficult to scale. Additionally, Firebase is much easier to set up and use than any sort of self hosted database. This simplicity has allowed us to try features that we might not have based on the amount of work they required in the past.

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

• Firebase has been able to help us understand reliably, the drop-off in our user flows with their funnel feature. This has made it easy for us to be able to pinpoint weaknesses in our funnel and test and optimize with data as the dependent variable.
• From an economic standpoint, we don't pay for Firebase which is great, but as the saying goes "You get what you pay for" also holds true in this context. As we looked to grow and scale, we looked for a paid solution.
• From a developer resource standpoint, Firebase has been extremely easy to integrate into our app. Whether it be the event tracking, dynamic links or crash reporting we have not had to waste too much developer time thanks to their well-organized developer docs.

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