KNIME Analytics Platform vs Looker: 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.

I love the ability to visualize all of the data in one space. Dashboard creation is easy and so useful.

Can get a bit confusing and confining with more complex queries/analysis. Machine written sql can be annoying.

We use ours with Redshift and Aurora and they take most advantage of both systems. Their super awesome customer support - always available chat who are really good at what they are doing.

To be fair, if you have a terrible underlying data warehouse, then all Looker will do is expose that.

It’s a good option if you want to do dashboards connected to google sheets. Also a good alternative to PowerBi.

Unfortunately, their documentation could use some improving as often I find myself confused and unsure what to do with their docs.

Looker has been a great and useful tool for out business. Where we've found challenges is in the specific data dictionary and set-up, which internally was not well prepared prior to implementation.

I dislike how long it can take certain reports in Looker to load.