Head-to-head · Data Transformation Tools
AWS Glue DataBrew vs KNIME Analytics Platform
AWS Glue DataBrew leads on 0 checks, KNIME Analytics Platform on 1, and 0 are even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAWS Glue DataBrew · 8.9/10
- Free planonly KNIME Analytics Platform
AWS Glue DataBrew scores higher on our rubric for data transformation tools: 8.9 against 8.6 out of 10; our editors rank them #4 and #7.
KNIME Analytics Platform offers free plan; AWS Glue DataBrew doesn't.
AWS Glue DataBrew is the better fit for AWS users preparing data with point-and-click recipes. KNIME Analytics Platform is the better fit for free visual workflows with broad connectivity.
- AWS Glue DataBrew fits best
AWS users preparing data with point-and-click recipes
- KNIME Analytics Platform fits best
Free visual workflows with broad connectivity
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Side by side
| Feature | AWS Glue DataBrew 8.9/10 Visit ↗ | KNIME Analytics Platform 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.6 |
| Ranking | #4 in Data Transformation Tools | #7 in Data Transformation Tools |
| Best for | AWS users preparing data with point-and-click recipes | Free visual workflows with broad connectivity |
| Pricing model | Paid | Free |
| Starting price | $0.48/unit usage-based | Free |
| Free plan | — | ✓ (best) |
| Free trial | — | — |
| Deployment | Cloud | Desktop, Self-hosted, Cloud |
| Platforms | Web | Windows, macOS, Linux |
| Support | Docs | Community, Docs |
| Integrations | 7 integrations | 300+ integrations |
| Built for | Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features AWS Glue DataBrew 0/3 · KNIME Analytics Platform 0/3 | ||
| Version control | Not checked yet | Not checked yet |
| Workflow orchestration | Not checked yet | Not checked yet |
| Data quality checks | Not checked yet | Not checked yet |
| Specs | ||
| Deployment model | Not checked yet | Not checked yet |
| Transformation interface | Not checked yet | Not checked yet |
| Supported data formats | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | AWS Glue DataBrew gives data analysts and data scientists a visual, point-and-click way to profile, clean, normalize, and transform datasets without writing code. It is aimed at teams preparing data for analytics and machine learning,… Read the review → |
KNIME Analytics Platform is a free, open-source desktop application for building visual workflows across data access, transformation, analysis, modeling, and visualization. It is aimed at data analysts, data scientists, business users, and… Read the review → |
Strengths and trade-offs
AWS Glue DataBrew — where it wins
- Offers more than 250 built-in transformations and reusable, versioned recipes
- Combines dataset profiling, anomaly detection, and visual data lineage
- Supports scheduled recipe jobs and output to Amazon S3 and supported data stores
Where it doesn't
- Its listed integrations center on AWS services and data stores
- Interactive sessions and recipe or profile jobs are billed separately by usage
- Cloud deployment and point-and-click workflows may not suit non-AWS or code-first teams
KNIME Analytics Platform — where it wins
- Free, open-source desktop workflows across Windows, macOS, and Linux
- Connects to 300+ data sources and services
- Combines visual workflows with Python, R, JavaScript, and API deployment
Where it doesn't
- Real-time REST deployment requires KNIME Hub or Server
- Automated ML is not included
- Desktop workflow execution may not fit teams seeking a cloud-first workspace
- AWS Glue DataBrew8.9/10 · Paid
Point-and-click data preparation for AWS users, with usage-based charges for sessions and jobs.
Visit AWS GlueFull verdict → - KNIME Analytics Platform8.6/10 · Free plan
A free visual platform for connected data preparation, analytics, modeling, and deployment.
Visit KNIMEFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





