Amazon Redshift, a good solution for data warehousing
December 23, 2022
Amazon Redshift, a good solution for data warehousing
Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with Amazon Redshift
We use Amazon Redshift for structured data warehousing. It allows us to store, retrieve, and analyze large volumes of structured data quickly and efficiently. It is used to support decision-making, identify trends, and gain insights into the business. Furthermore, we use Amazon Redshift can be used to create dashboards, generate reports, and perform ad-hoc queries on data to support business intelligence and analytics efforts. We also use it to support our customer service applications or fraud detection systems
- Data warehousing
- Business intelligence
- Data insights
- Cost can be prohibitive
- User interface could be more intuitive
- Ability to store large amount of data
- Self-maintained (reduces DevOps needs)
- Helped us with Business Intelligence
Amazon Redshift, BigQuery, and Snowflake are all fully managed data warehouse services that are designed to handle large volumes of structured data and support business intelligence and analytics efforts. However, Amazon Redshift has the upper hand with its cost-effective storage, granular control, full integration with AWS and its design allowing it to scale up to petabyte-scale data warehouses.
Do you think Amazon Redshift delivers good value for the price?
Yes
Are you happy with Amazon Redshift's feature set?
Yes
Did Amazon Redshift live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Amazon Redshift go as expected?
Yes
Would you buy Amazon Redshift again?
Yes