Users report that Amazon EMR excels in Hadoop Integration with a score of 8.9, making it a preferred choice for enterprises that rely heavily on Hadoop ecosystems. In contrast, Apache Beam's Hadoop Integration score is significantly lower at 6.0, indicating less robust support for this framework.
Reviewers mention that Amazon EMR offers superior Cloud Processing capabilities, scoring 9.1, which is crucial for organizations looking to leverage cloud resources efficiently. Apache Beam, while still competent, scores 8.2, suggesting it may not be as optimized for cloud environments.
G2 users highlight that Amazon EMR's Machine Scaling feature is rated at 8.7, allowing for dynamic resource allocation based on workload demands. Users on G2 note that Apache Beam, with a score of 8.3, provides decent scaling but may not match the flexibility offered by EMR.
Reviewers mention that Amazon EMR shines in Data Distribution with a score of 8.5, which is essential for large-scale data processing. In comparison, Apache Beam's score of 8.0 indicates it may not handle data distribution as effectively, particularly in enterprise settings.
Users say that Amazon EMR's Quality of Support is rated at 8.2, which is generally viewed as reliable and responsive. Conversely, Apache Beam's support rating of 7.6 suggests that users may experience challenges in getting timely assistance.
Reviewers mention that Amazon EMR's Data Preparation capabilities score 8.7, making it easier for users to clean and prepare data for analysis. Apache Beam, with a score of 8.1, is still effective but may require more effort from users to achieve similar results.
Pricing
Entry-Level Pricing
Amazon EMR
No pricing available
Apache Beam
No pricing available
Free Trial
Amazon EMR
No trial information available
Apache Beam
No trial information available
Ratings
Meets Requirements
8.6
50
8.6
12
Ease of Use
8.2
49
7.8
12
Ease of Setup
8.4
22
Not enough data
Ease of Admin
8.6
22
Not enough data
Quality of Support
8.2
49
7.6
11
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