G2

mani s.

data engineer

Enterprise (> 1000 emp.)

5/26/2026

"Athena Makes S3 Data Validation Fast and Infrastructure-Free"

5/5

What do you like best about Amazon Athena?

I use Amazon Athena in my day-to-day work for our project. What I like most about Athena is that it can query large datasets directly from Amazon S3 without having to manage any infrastructure. In my workplace, I use Athena regularly to validate processed data after Spark ETL jobs complete, and I compare source and target datasets with the help of Athena. After the ETL pipelines finish writing Parquet or CSV files into S3, I use Athena tables connected through the AWS Glue Data Catalog, then run SQL queries to verify record counts, null values, duplicates, partitioned data, and transformation outputs. Review collected by and hosted on G2.com.

What do you dislike about Amazon Athena?

I don’t have any major dislikes. It’s a good final product, and it helps me a lot. Review collected by and hosted on G2.com.

What problems is Amazon Athena solving and how is that benefiting you?

Amazon Athena solves the problem of analyzing large data stored in Amazon S3 without requiring a dedicated database server. In my workplace, it has benefited me for ETL validation and has helped with troubleshooting by allowing direct SQL queries on files stored in S3. I use Athena to quickly validate transformed data in my day-to-day work, and it makes the process much quicker. Review collected by and hosted on G2.com.