I like Amazon Redshift because it solves large-scale data warehousing and analytics challenges by providing a centralized platform for storing and querying massive datasets. It enables faster reporting and better business insights, offering scalable analytics for enterprise workloads. I also appreciate its tight integration with AWS and its AI features, like automated workload management and query optimization. Review collected by and hosted on G2.com.

Cluster sizing, tuning, and cost optimization require very careful management. Performance can degrade if distribution keys and sort keys are not designed properly. Not very flexible as compared to Snowflake or BigQuery. Review collected by and hosted on G2.com.

Amazon Redshift provides excellent performance for large-scale data warehousing and analytics workloads. I like its seamless integration with AWS services, fast query execution, scalability, and ease of managing huge datasets. The pricing flexibility and support for BI/reporting tools make it very useful for enterprise analytics solutions Review collected by and hosted on G2.com.

The main downside is that query optimization and cluster management can be complex for beginners. Costs can increase quickly if resources are not monitored and optimized properly Review collected by and hosted on G2.com.

I have used Redshift for 4 years. I like the easy to use it, create instance and use as data warehouse. Since it cloud native for AWS so easily integrate with other AWS service. New cluster has good performance and price is bit higher. AWS Support is good and helped when asked for an issue. It can be integrated with Bedrock for AI use cases but at initial level. Review collected by and hosted on G2.com.

Not easy to integrated for other sources and make it difficult to manage. Review collected by and hosted on G2.com.

fast query performance on large datasets, scalable data warehouse, strong integration with AWS ecosystem, columnar storage for analytics, good for structured data workloads, reliable for reporting and BI Review collected by and hosted on G2.com.

query performance can degrade without optimization, concurrency limitations on heavy workloads, maintenance and tuning effort required, scaling is not fully seamless, cost can increase with usage Review collected by and hosted on G2.com.

I find it really easy to set up and maintain Amazon Redshift, which helps me get started quickly without needing much upskilling. Review collected by and hosted on G2.com.

The pricing is a bit complex, especially with AWS in general, and Amazon Redshift is no exception. Also, sometimes I find it runs quite slow, even without the need to be maxed out. Review collected by and hosted on G2.com.

What I like best about Amazon Redshift is its ability to handle massive amounts of data with impressive speed and scalability. It’s designed specifically for data warehousing, so complex queries run efficiently thanks to its columnar storage and massively parallel processing (MPP) architecture. Plus, it integrates smoothly with the AWS ecosystem, making it easier to build end-to-end data solutions accompanied by existing backend infrastructure. Review collected by and hosted on G2.com.

In terms of optimizations, there are very little things that come out of the box. A significant amount of effort is required to optimize Redshift.

- We have to manage the clusters and nodes since its not a serverless solution (not talking bout spectrum here!)

- Concurrency issues when it is being used by a large number of users. We've had to set up limits and checks in place separately, which is a bit annoying.

- There's a lot of maintenance overhead. Tasks like vacuuming and analyzing tables to maintain performance still require attention and adds lots of operational complexity. Review collected by and hosted on G2.com.

It’s easy to integrate with other software, works well with Amazon Redshift, and makes it fast to query data. Review collected by and hosted on G2.com.

ui can be more interactive as right now everthing look clustered Review collected by and hosted on G2.com.

Amazon Redshift provides excellent scalability for handling large volumes of structured data and integrates smoothly with other AWS services like S3 and Glue. Query performance is strong for analytical workloads, and the columnar storage significantly speeds up aggregation queries. The ability to separate storage and compute has improved cost management and flexibility, making it easier to scale resources up or down depending on workload needs. Review collected by and hosted on G2.com.

While powerful, Redshift can become costly at scale if not carefully monitored and optimized. Query performance sometimes degrades when dealing with complex joins or semi-structured data compared to newer cloud-native solutions. Managing concurrency can also be a challenge, and performance tuning requires specialized knowledge. Additionally, native support for unstructured data is still limited compared to alternatives. Review collected by and hosted on G2.com.

What I like best about Amazon Redshift is how easy it is to connect and get started. The interface is user-friendly, and the connection is fast, which makes querying large datasets smooth and efficient. Review collected by and hosted on G2.com.

So far, I haven’t encountered anything I dislike about Amazon Redshift. It’s been reliable and has met my needs well. Review collected by and hosted on G2.com.

Easy to use, scalable, easy to connect to other software Review collected by and hosted on G2.com.

Sometime sis hard to translate the data types from other RDBMS but usually you can find a way to sync them Review collected by and hosted on G2.com.