Item: KNIME Analytics Platform
Rating: 8
Author: Verified User

Use Cases and Deployment Scope

We primarily use KNIME Analytics Platform as our go-to integration and
ETL tool. The platform's makes it easy for our team to connect to diverse data sources, extract relevant information, and transform it into a
format that suits our analytical needs.

We also use it as a reporting tool, creating data applications that various departments can consult and use on a daily basis.

Pros and Cons

Seamless Integration with API, DBs, Tabular files
Robust ETL capabilities using or it's No code/Low code nodes
Automatize workflows
Unify ETL, ML and Reporting in the same framework
It's Open Source and has a strong community

Reporting, the reporting is lacking a lot in terms of customization, is really basic
Integration with Microsoft services
A SaaS option

Return on Investment

Efficiency Gains in Data Processing and automation
Improved Decision-Making

Key Insights

Do you think KNIME Analytics Platform delivers good value for the price?

Yes

Are you happy with KNIME Analytics Platform's feature set?

Yes

Did KNIME Analytics Platform live up to sales and marketing promises?

Did implementation of KNIME Analytics Platform go as expected?

Yes

Would you buy KNIME Analytics Platform again?

Yes

Likelihood to Recommend

Knime is suited for several scenarios:

ETL and Data Science Use Case scenarios for non technical people.
Data Science Democratization process, as with their new Server option called Business Hub it allows to create several teams within an organization where you can share components, WF, reports...
Automation of excel processes/reports that require a lot of time and manual interaction

Knime is less appropiate for:

Reporting capabilities, it's better to connect a reporting tool to it, Knime allows it.
Productionizing DS/ML models

Open Source outstanding tool with room for imporvement

Overall Satisfaction with KNIME Analytics Platform