A tool that bridge the gap between business and technology
October 16, 2023

A tool that bridge the gap between business and technology

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with KNIME Analytics Platform

One of our clients has KNIME as a Data Wrangling and Data Science tool for internal data and process automation. KNIME is surprisingly easy to use and very powerful. You can go from automating the a process that reads data from a database and wrights it into a Excel file to a much more complex solution involving Machine Learning and complex Data Science solutions. I'm extremely happy with KNIME and how it bridges the gap between developers and the business users.
  • Data transformation
  • Data conversion
  • Data Wrangling
  • Workflow
  • Interpreting Excel files and translating it to CSV format
  • Nodes that do multiple transformations at the same time
  • No need for ultra specialised professionals
  • Cheaper than the competitors
  • Not enough people using it yet in Australia. Very hard to find skills in the market

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?

I wasn't involved with the selection/purchase process

Did implementation of KNIME Analytics Platform go as expected?

I wasn't involved with the implementation phase

Would you buy KNIME Analytics Platform again?

Yes

ETL, TLE and Data Science. KNIME competes toe to toe with other tools like Alteryx. In fact it's more flexible and easier to use.
You can be a BA with basic skills in SQL and programing or a senior developer, KNIME will help you develop a easy to understand solution that will be easy to maintain

KNIME Analytics Platform Feature Ratings

Connect to Multiple Data Sources
9
Automatic Data Format Detection
9
Visualization
7
Interactive Data Analysis
8
Interactive Data Cleaning and Enrichment
9
Data Transformations
9
Multiple Model Development Languages and Tools
8
Automated Machine Learning
8
Single platform for multiple model development
8
Flexible Model Publishing Options
8