Knime, your one-stop-ETL-software-shop
October 04, 2019

Knime, your one-stop-ETL-software-shop

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with KNIME Analytics Platform

KNIME is used across the entire business. We primarily use it as an ETL tool and to act as the input for other BI software such as Tableau and QlikView. KNIME is also used for initial machine learning functions.

Pros

  • KNIME works better than most tools for ETL functions.
  • Easy to track the different steps
  • Easy to isolate and fix specific workflow steps.

Cons

  • It does not have proper visualization.
  • Some other BI tools (QlikView) have much easier functions for data interaction.
  • Some other BI tools (Tableau) can be set up much faster.
  • It is not an easy tool to use for non-tech savvy staff.
  • Positive: We were able to replace our costly previous ETL tools.
  • Positive: The initial software evaluation phase was free.
KNIME is our preferred ETL tool, because multiple people can work on the same workflow at the same time.
I've only interacted with KNIME support once before and the problem was resolved in a reasonable time.

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?

Yes

Would you buy KNIME Analytics Platform again?

Yes

KNIME is quite useful for initial data exploration and to share and discuss your process (workflow) with someone that does not how KNIME works. KNIME's visualisation tools can not be compared to most BI tools, because of the limited amount of available charts.

KNIME Analytics Platform Feature Ratings

8.0
Connect to Multiple Data Sources
9
Extend Existing Data Sources
8
Automatic Data Format Detection
9
MDM Integration
6
3.0
Visualization
3
Interactive Data Analysis
3
7.0
Interactive Data Cleaning and Enrichment
7
Data Transformations
7
Data Encryption
6
Built-in Processors
8
5.3
Multiple Model Development Languages and Tools
6
Automated Machine Learning
6
Single platform for multiple model development
5
Self-Service Model Delivery
4
Model Deployment ()
Not Rated

Using KNIME Analytics Platform

15 - Retail, Marketplace, Supply Chain, Finance
2 - Business analytics, Tech savvy, BI savvy
  • ETL
  • Workflow sharing
  • Standardized processes
  • Basic machine learning functions
I am happy with the product. It provides the required functionality.

Evaluating KNIME Analytics Platform and Competitors

Yes - We replace in-house products, because KNIME had more functions and it is easier to maintain.
  • Price
  • Product Features
  • Product Usability
Knime had the most features available compared to the considered alternatives.
I would not change the evaluation process.

KNIME Analytics Platform Implementation

No.
  • Implemented in-house
Change management was minimal - No specific lessons. Everyone readily accepted the new software.
  • The KNIME server setup.
  • Ensuring KNIME server up-time.

KNIME Analytics Platform Support

ProsCons
Quick Resolution
Good followup
Problems get solved
Kept well informed
Support understands my problem
Support cares about my success
Quick Initial Response
None
A vital feature kept on crashing when I tried to download and install it. I contacted KNIME support and they guided me in the steps required to uninstall and reinstall the required features.

Using KNIME Analytics Platform

ProsCons
Like to use
Relatively simple
Easy to use
Technical support not required
Well integrated
Consistent
Convenient
Feel confident using
Familiar
None
  • Basic ETL functions.
  • SQL integration.
  • Google Sheets integration.
  • Visualization.
It performs all the required functions.

Comments

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