Users report that Amazon EMR excels in Hadoop Integration with a score of 8.9, while Apache Spark for Azure HDInsight shines in Real-Time Data Collection with a higher score of 8.9, indicating that users find Spark more effective for immediate data processing needs.
Reviewers mention that Amazon EMR has a strong performance in Cloud Processing with a score of 9.1, which is significantly higher than Apache Spark for Azure HDInsight's score of 8.7, suggesting that EMR may offer better scalability and efficiency in cloud environments.
G2 users highlight that both platforms have similar scores in Spark Integration at 8.9, indicating that users find both products equally capable of integrating with Spark, which is crucial for big data processing.
Users on G2 report that Amazon EMR has a slight edge in Ease of Setup with a score of 8.4, while Apache Spark for Azure HDInsight scores higher in Ease of Use at 8.5, suggesting that while EMR may be easier to set up, Spark is more user-friendly once operational.
Reviewers say that Amazon EMR's Quality of Support is rated at 8.2, which is slightly lower than Apache Spark for Azure HDInsight's score of 8.3, indicating that users may find better support resources with Azure HDInsight.
Users report that both platforms perform well in Data Transformation, but Amazon EMR's score of 8.6 suggests it may offer more robust features for transforming data compared to Apache Spark for Azure HDInsight, which lacks specific user feedback on this aspect.
Pricing
Entry-Level Pricing
Amazon EMR
No pricing available
Apache Spark for Azure HDInsight
No pricing available
Free Trial
Amazon EMR
No trial information available
Apache Spark for Azure HDInsight
No trial information available
Ratings
Meets Requirements
8.6
50
8.3
10
Ease of Use
8.2
49
8.5
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
8.3
10
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