Item: KNIME Analytics Platform
Rating: 7
Author: Christopher Penn

Use Cases and Deployment Scope

KNIME is used as a bridge piece of software that connects multiple, disparate data sources into a single data pipeline for further analysis downstream. Some level of transformation is done in the processing, mainly for data cleansing, but most of that is left to custom code further on in the pipeline.

Pros and Cons

Connection to multiple data sources.
Unified interface for data and cleansing.
Cross platform interoperability.

Cumbersome UI.
Slow to load.
Memory/CPU hog.

Return on Investment

Positive ROI due to low cost.
Cross platform meant others could interchange models.
Available help was beneficial.

Alternatives Considered

Alteryx Platform and DataRobot

KNIME is a lower price point and has strong cross platform capabilities. Other platforms are locked to a specific operating system and cost in some cases substantially more, making them less good choices for smaller businesses that still need basic data unification. The fact that KNIME is OS-independent is a big positive.

Support Rating

Good support from the user community, including recipes and templates.

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?

Yes

Did implementation of KNIME Analytics Platform go as expected?

Yes

Would you buy KNIME Analytics Platform again?

Other Software Used

RapidMiner Studio, Alteryx Platform, DataRobot

Likelihood to Recommend

KNIME is well suited for the data analyst that has multiple disparate data sources and needs to unify them, with a price point that is lower than some other enterprise packages. It's less well suited for smaller data pipelines or pipelines where a ton of custom coding and modification needs to be made.

KNIME: Great value, great compatibility

Overall Satisfaction with KNIME Analytics Platform