AWS Glue vs. Sifflet
A side-by-side comparison based on G2 review data.
| Metric | AWS Glue | Sifflet |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 202 | 57 |
| Ease of use | 8.6 | 8.7 |
| Ease of setup | 8.8 | 8.4 |
| Quality of support | 8.6 | 9.0 |
| Meets requirements | 8.7 | 8.7 |
| NPS | 48.453608 | 60.714286 |
| Small Business | 22.9% | 8.5% |
| Mid-Market | 28.4% | 63.8% |
| Enterprise | 48.8% | 27.7% |
| Total page views | 580 | 683 |
| Total LLM citations | 2,467 | 1,273 |
AWS Glue
AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.
- Ease of Use
- Data Integration
- Features
- ETL Solutions
- Data Lineage
- Data Cataloging
Sifflet
Sifflet is the control plane for Data and AI. Data teams spend too much time firefighting — bad data reaches the business before anyone catches it, root cause takes days, and the fix is invisible to the stakeholders who were burned. The result is a slow erosion of trust in every dashboard, report, and AI output the company relies on. We give data teams one layer that catches issues across the full stack, explains exactly where they came from, and shows how to resolve them — before the CFO sees the wrong number.
- Efficiency Improvement
- Monitoring
- Ease of Use
- Data Lineage
- Alerting System
- User Interface