Users report that Amazon EMR excels in Hadoop Integration with a score of 8.9, while Google Cloud Dataproc shines even brighter with a score of 9.0, indicating a more seamless experience for users who rely heavily on Hadoop frameworks.
Reviewers mention that Google Cloud Dataproc offers superior Spark Integration, scoring 9.4 compared to Amazon EMR's 8.9, which suggests that users looking for robust Spark capabilities may find Dataproc to be the better choice.
G2 users highlight that Amazon EMR has a strong performance in Cloud Processing with a score of 9.1, while Google Cloud Dataproc follows closely with 9.0, indicating both platforms are reliable but EMR may have a slight edge in cloud processing capabilities.
Users on G2 report that Google Cloud Dataproc provides a more user-friendly experience, scoring 9.0 in Ease of Use compared to Amazon EMR's 8.2, making it a preferable option for teams prioritizing ease of navigation and setup.
Reviewers say that Amazon EMR's Quality of Support is rated at 8.2, which is lower than Google Cloud Dataproc's 8.8, suggesting that users may find more responsive and helpful support with Dataproc.
Users report that both platforms perform well in Real-Time Data Collection, each scoring 8.1, but they note that Amazon EMR's overall management and reporting features are slightly more robust, making it a better fit for enterprises needing comprehensive data oversight.
Pricing
Entry-Level Pricing
Amazon EMR
No pricing available
Google Cloud Dataproc
No pricing available
Free Trial
Amazon EMR
No trial information available
Google Cloud Dataproc
No trial information available
Ratings
Meets Requirements
8.6
50
8.7
10
Ease of Use
8.2
49
9.0
10
Ease of Setup
8.4
22
Not enough data
Ease of Admin
8.6
22
Not enough data
Quality of Support
8.2
49
8.8
10
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