Apache Sqoop vs. AWS Glue
A side-by-side comparison based on G2 review data.
| Metric | Apache Sqoop | AWS Glue |
|---|---|---|
| Overall rating | 4.3 | 4.3 |
| Review count | 31 | 202 |
| Ease of use | 8.9 | 8.6 |
| Ease of setup | 9.2 | 8.8 |
| Quality of support | 8.7 | 8.6 |
| Meets requirements | 9.0 | 8.7 |
| NPS | 51.724138 | 48.453608 |
| Small Business | 22.6% | 22.9% |
| Mid-Market | 22.6% | 28.4% |
| Enterprise | 54.8% | 48.8% |
| Total page views | 44 | 580 |
| Total LLM citations | 40 | 2,467 |
Apache Sqoop
Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases.
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