User Reviews of Amazon EMR & Spark SQL

Updated March 2024

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Amazon EMR review

Quan Vu
Quan Vu
Data Governance Manager at VPBFC
Provides efficient data processing features and has good scalability
We need to have a data pipeline tool to ensure consistent data processing for the initial setup. We create a framework, read the code, and execute it in a data catalog. The size of the maintenance team depends on the project and the use cases. Usually, one backup team of four or five DevOps executives takes care of the backend and database....
Spark SQL review

SurjitChoudhury
SurjitChoudhury
Data engineer at Cocos pt
Offers the flexibility to handle large-scale data processing
My experience with the initial setup of Spark SQL was relatively smooth. Understanding the system wasn't overly difficult because the data was structured in databases, and we could use notebooks for coding in Python or Java. Configuring networks and running scripts to load data into the database were routine tasks that didn't pose...

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