- A free tool that is useful for startups and small businesses.
- It has Google integration, so it works easily with other Google services.
- Offers the option to automatically update data, making it easier to keep information current.
- It is slow to process large amounts of data.
- Integration with Microsoft guarantees that it will work smoothly with Excel, Azure, etc.
- Offers functionality for deep analysis.
- It can be difficult to use with Mac devices.
- Not for beginners. It takes time and effort to learn the tool.
- The Pro license costs $10 per month.
- The tool’s interactive features allow you to create high-quality charts.
- There is a large community of people who can offer advice and help.
- A high price of $75 per month. You have to pay for the whole year at once.
- It takes time to master its features.
- Working with QlikView requires more time and effort compared to other tools.
- The tool allows users to share current sessions with guests, but there is a limit to the number of users who can use a shared session simultaneously.
- Performance can drop when a large number of users share a single session.
(didn`t manage even run it)
- Some of the default settings violate the rules of effective charting.
- The free version lacks analytical features.
- High cost. Depending on data size and package, it can be approximately $2,000–$2,500 per month.
- The tool can be challenging to learn.
- High cost. Depending on specific needs and data volume, a developer license is $125/month, a standard license is $60/month, and a review license is $30/month.
- A powerful computer is required to run the program.
- It may be difficult to set it up.
- Complexity of customization.
- Limited analytical capabilities.
(It will install you not vice versa)
- Complexity of setup and training.
- It costs $10.6 for the standard version (without the ability to create reports in HTML, CSV, and Excel, edit reports, and save the result to Cognos) and $42.4 for the premium version.
- Limitations in visualization, performance, and automation.
- They do not always meet the needs of complex analytical tasks and may struggle with processing large amounts of data.
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1yI tried some of them. I got bored and stopped doing that.