Logi Info (Logi Analytics Platform) vs. Qlik Sense

Logi Composer is the best of the product range that Logi Analytics offers; Logi Info is, in my mind, a terrible experience and should be discontinued. Logi Info is not a BI tool and many CEOs and product managers believe it is. Instead, it is a tool for web developers to create IIS apps with a library of BI-type components, and with everything else having to be hand-coded in JavaScript and CSS. Maybe this was cool back in the early 2000s when Logi Info came about, but today I'd recommend using Visual Studio, C#, .NET, and finding a NuGet package for your visualisations if you wanted to go the route of making your own web app. This said, where it is suited is if you have a burning desire to make a stand-alone IIS-based web application and you don't need or want to leverage any existing skills in .NET or PHP or other frameworks/languages. Instead, you want to use the Logi Info XML-based BI widgets and you're happy to make something quick without needing it to look really awesome.

Incentivized

Qlik Sense is a program whose purpose is to greatly improve all your operations and use of all data in an organic way. The mission will always be to increase the economic and commercial processes of the company in a short time. I recommended it for its high technology, which was Created for this area, the results are successful. We have noticed how it has increased relationships with our clients thanks to the credibility and security that we provide.

Incentivized

• Clear/Concise view of data. Easily intuitive, amazing drill down capability, fully user configurable panels and dashboards.
• Self-Service is such a powerful tool for facilities that want to create/design their own reports/dashboards, it's instantly recognized as being very powerful and agile.
• Logi software makes the designer realize that they should think outside the box and not stick with "it's how we have always done it limitation". It allows you to be very creative.

• Flexibility in data recording, from the app, as well as in handling them. Allowing you to view reports quickly and effectively.
• Easy to generate dynamic graphics according to our needs.
• It is very easy to use, intuitive, so it does not generate costs in the learning process compared to the tool with collaborators

Incentivized

• It is not always intuitive to incorporate JavaScript into Logi Info. The tools are all available, but the process requires multiple resource in translating between Logi and JavaScript.
• The toolbox is too vast for Logi to provide a 'quick implementation' or 'quick start guide'. There are so many tools that Logi expects the client to determine which fit their use case. There are purchasable 'Professional Services' options for implementation, but without these, the toolset is almost too big.

• Scalability is RAM limited, all data is associative and in-memory so server's RAM is directly proportional to performance
• Limitation on advanced analytics capabilities in the form of R integration to perform complex statistical and analytical calculations
• Can have more intuitive interface

Incentivized

Logi Analytics is a great solution if you need just the user interface. However there are other tools stronger at the overall data flow which include a user interface as part of their product.

Qlik Sense is a constantly improving it's software and working with its' users to make it better. They are great at keeping their users informed of progress and care about delivering a quality product

Incentivized

I am giving 9 rating because the Logi Info still needs to improve on the tutorials part and make it easy for the beginners. Otherwise, it's a very good analytics tool which offers more than 20 types of visualization. It's predictive analysis feature and easy to embed with technologies make it stand out in the market.

Incentivized

Standard user interface and powerful analytic functions is GREAT. As technical person working in the background there are more things to do to make this a completely great tool. Some functions that should be standard requires consult scripting and hours. Now we are using it quite advanced and with many servers and in combination with QlikView. So overall I love the tool. But it could be better and user friendly and powerful in the background

Incentivized

The support process is bit slow and has a good scope improvement but overall it's good as team is very supportive. They generally take 1-2 days time to respond emails sent to them but some times a delay is also expected. Overall, I did not face any major issues using the service.

Incentivized

Not only can you ask the support team for help, but you can also ask the community. Also with the community there is a vast amount of problems that have already been solved. The problem you are encountering has a likely chance of already being discussed and even solved in the community section saving you time from reaching out.

Incentivized

The instructor was very knowledgeable.

Incentivized

The online instructor was very knowledgeable.

Incentivized

Hire Qlik consultants. It's better done by them or with their aid.

Incentivized

Logi gave us the flexibility we needed to meet the configurable nature of our product and for the need to create custom reports. Other products did not allow flexbility to generate reports via script as was one of our primary requirements.

Incentivized

The customization of the platform opens up plenty of other options depending on the use cases. The API layer is incredibly rich and makes integration of Qlik based visualization into web pages a simple and effective pattern. It's been very easy to use with a great community made up of professionals. Qlik Sense has introduces artificial Intelligence into my data visualization and reporting activity.

• By embedding Logi in our solution and using the Logi Self-Service Module we can provide this flexibility to our users without requiring custom development work for each new request.
• We succeeded in developing embedded self-service analytics at scale with a combination of Logi analytics as front-end and a Cassandra data lake with Spark aggregation algorithms as back-end.
• We analyze the insurance industry and need to replicate different data formats across hundreds of databases to support multi-tenant (customer) BI reports and "ad hoc" data review on millions or hundreds of millions of records per customer.

Incentivized

• Once an app is published and running good, we can quickly see the time we save to analyze data.
• It's hard sometimes to realize the money we save by using this system.
• People start understanding the power of data and asking more questions.

Incentivized