G2

SAURABH B.

Software Engineer

Small-Business (50 or fewer emp.)

10/27/2026

"Powerful, Scalable Data Warehousing with Seamless AWS Integration"

5/5

What do you like best about Amazon Redshift?

Amazon Redshift is a powerful cloud data warehouse that makes it easier to manage and analyze large volumes of data. As a Data Engineer, I find it especially useful for building ETL pipelines, running complex SQL queries, and integrating data from Amazon S3 as well as other AWS services. Features like columnar storage, parallel query execution, and tight integration with AWS Glue and Amazon Athena make it a strong fit for modern data engineering workflows. I also appreciate the flexibility to scale resources up or down based on workload requirements, which helps when demands change. Review collected by and hosted on G2.com.

What do you dislike about Amazon Redshift?

Query performance and cost optimization take careful planning, especially when you’re working with large datasets and complex transformations. Picking the right table design, distribution style, and sort keys can be time-consuming, but it makes a real difference. It’s also important to keep a close eye on resource utilization and to identify and tune expensive queries so costs stay under control. Review collected by and hosted on G2.com.

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

Amazon Redshift helps centralize data from multiple sources and supports efficient analytical processing. I find it useful for building data pipelines, transforming large datasets, and preparing data for reporting and business intelligence. Its integration with the AWS ecosystem makes it easier to move data from S3 into the warehouse and enables scalable analytics without having to manage traditional database infrastructure. Review collected by and hosted on G2.com.