Reviews say that AWS Import/Export Snowball excels in data migration with its robust extraction capabilities, scoring 9.1, while Azure Data Factory shines in transformation and loading, with scores of 9.3 and 9.4 respectively, indicating a more comprehensive approach to data handling.
Users report that Azure Data Factory offers superior ease of use and setup, with scores of 9.0 in both categories, compared to AWS Import/Export Snowball's 8.5 and 7.8, making it a more user-friendly option for those new to data integration.
Reviewers mention that Azure Data Factory has a higher quality of support, scoring 8.8, compared to AWS Import/Export Snowball's 8.5, suggesting that users may find more responsive assistance when issues arise.
G2 users highlight Azure Data Factory's strong product direction, with a score of 9.8, indicating a clear roadmap and ongoing improvements, while AWS Import/Export Snowball's score of 7.8 suggests potential concerns about its future development.
Users on G2 appreciate Azure Data Factory's automation features, scoring 9.2, which streamline workflows, whereas AWS Import/Export Snowball lacks in this area, making it less efficient for users looking for automated solutions.
Reviewers mention that AWS Import/Export Snowball is particularly effective for large-scale data transfers, but Azure Data Factory's integration variety and real-time monitoring capabilities provide a more versatile solution for ongoing data management needs.
Pricing
Entry-Level Pricing
AWS Import/Export Snowball
No pricing available
Azure Data Factory
No pricing available
Free Trial
AWS Import/Export Snowball
No trial information available
Azure Data Factory
No trial information available
Ratings
Meets Requirements
8.7
21
9.2
65
Ease of Use
8.5
21
8.9
66
Ease of Setup
7.8
9
9.2
31
Ease of Admin
8.7
9
8.6
23
Quality of Support
8.5
21
8.8
60
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