Users report that Amazon EMR excels in data processing with a score of 9.7, highlighting its ability to handle large-scale data efficiently, while Google Cloud Dataflow, although strong, scores slightly lower in this area.
Reviewers mention that Amazon EMR offers superior Hadoop and Spark integration, both rated at 8.9, making it a preferred choice for users who rely heavily on these frameworks, whereas Google Cloud Dataflow's integration scores are notably lower at 6.9.
G2 users indicate that Amazon EMR provides a more robust real-time processing capability with a score of 9.5, which is crucial for businesses needing immediate data insights, compared to Google Cloud Dataflow's score of 8.9.
Users on G2 highlight that Amazon EMR's ease of setup is rated at 8.4, making it more user-friendly for new adopters, while Google Cloud Dataflow's setup score of 7.7 suggests a steeper learning curve.
Reviewers say that Amazon EMR's performance and reliability score of 8.8 is a significant advantage, as it ensures consistent uptime and processing speed, while Google Cloud Dataflow's performance score is slightly lower at 8.9.
Users report that Amazon EMR's data lake capabilities are rated at 8.1, which some find limiting compared to Google Cloud Dataflow's score of 8.5, indicating a more flexible approach to data storage and management.
Pricing
Entry-Level Pricing
Amazon EMR
No pricing available
Google Cloud Dataflow
No pricing available
Free Trial
Amazon EMR
No trial information available
Google Cloud Dataflow
No trial information available
Ratings
Meets Requirements
8.6
50
9.0
24
Ease of Use
8.2
49
8.1
24
Ease of Setup
8.4
22
7.9
7
Ease of Admin
8.6
22
8.0
5
Quality of Support
8.2
49
8.3
21
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