Users report that Hadoop HDFS excels in data distribution with a score of 9.1, which reviewers mention is crucial for handling large datasets efficiently, while Amazon EMR, with a score of 8.5, is noted for its ease of use in cloud processing.
Reviewers mention that Amazon EMR shines in ease of setup, scoring 8.4 compared to Hadoop HDFS's 7.0, making it a more accessible option for teams looking to get started quickly.
G2 users highlight that Hadoop HDFS offers superior real-time data collection capabilities with a score of 8.5, while Amazon EMR's score of 8.1 indicates it may not be as robust in this area, which is critical for time-sensitive applications.
Users on G2 report that Amazon EMR provides better mobile user support, scoring 8.1 compared to Hadoop HDFS's 6.7, making it a more suitable choice for teams that require flexibility in accessing data on the go.
Reviewers mention that Hadoop HDFS has strong integration capabilities, particularly with Hadoop itself, scoring 9.1, while Amazon EMR's integration with Spark is equally rated at 8.9, indicating both products have their strengths in different integration scenarios.
Users say that while both platforms offer solid performance and reliability, Amazon EMR edges out with a score of 8.8 compared to Hadoop HDFS's 8.4, suggesting that users may experience fewer issues with uptime and processing speed on EMR.
Pricing
Entry-Level Pricing
Amazon EMR
No pricing available
Hadoop HDFS
No pricing available
Free Trial
Amazon EMR
No trial information available
Hadoop HDFS
No trial information available
Ratings
Meets Requirements
8.6
50
8.6
118
Ease of Use
8.2
49
7.5
120
Ease of Setup
8.4
22
6.9
47
Ease of Admin
8.6
22
7.1
44
Quality of Support
8.2
49
7.8
103
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