KNIME Analytics Platform vs Microsoft Power BI: Which is a better fit?

They also have extensions to integrate other tools like R and Python into the workflows. Best of all you can share your workflows with others - great for reproducible research.

That is not to say that the documentation is poor, you will probably find a fix to most, if not all problems that you face through some searching.

As I progressed and needed more functions and more custom solutions, I started using Python scripts and solved it like that. So it gave me all these abilities.

Abhishek A

Associate

A I have tried to integrate knime with the Jupiter notebooks but that was failed.

The support community on the KNIME website is very active and responsive. To extend the features you can purchase KNIME server.

Santiago S

Finance

Nodes that try to auto-guess column types often get it wrong with multiple files, there is a workaround that by creating a more complex workflow.

There are a ton of capabilities of the tool that are built in, and there are even more that are available online, like AutoML.

Of course, it is more limited than a programming language, and if you're familiar with building models programmatically, there is a learning curve that will slow you down and limit you at first.

Wechuli W

Software Engineer

The Desktop Version is awesome, provides multiple connectors to different data sources and powerful modelling capabilities so that I format my data exactly how I want it.

I dislike the fact that so far we can't use multiple datasets as sources. Also if you are not familiar with DAX you have limited possibilities to run measures.

Magaly M

Assistant Business Manager

Its main advantage is the price, it is accessible for small companies and others. It also has a simple interface that allows users of other Office products a greater ease of use.

Venkatesh V

Dev Ops Engineer

Comparing with other competitor products, its lack of features.

Ease to creating visualizations; excellent integration with other Microsoft applications and Google sheets. Support document is effective and easy to get.

It also bothers me a bit how slow it is to load specifically the desktop version, but this I can understand because I suppose it depends on the amount of data connected.

Overall my experience has been good with Power BI for my personal data analysis and visualization. I use it for analyzing finance and expenditures and it does a pretty good job at it.

The UI is clunky, the data model is not very intuitive to set up, performance is slow, especially compared to other tools. No build in box and whisker plots was a huge downside too.