Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.
| Product | Market Share (%) |
|---|---|
| Amazon Redshift | 7.6% |
| Snowflake | 17.8% |
| Dremio | 10.1% |
| Other | 64.5% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Cloud Data Warehouse | Aug 27, 2025 | Download |
| Product | Reviews, tips, and advice from real users | Aug 27, 2025 | Download |
| Comparison | Amazon Redshift vs Snowflake | Aug 27, 2025 | Download |
| Comparison | Amazon Redshift vs Azure Data Factory | Aug 27, 2025 | Download |
| Comparison | Amazon Redshift vs BigQuery | Aug 27, 2025 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Azure Data Factory | 4.0 | 7.2% | 92% | 92 interviewsAdd to research |
| Teradata | 4.1 | 8.7% | 87% | 76 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 17 |
| Large Enterprise | 23 |
| Company Size | Count |
|---|---|
| Small Business | 102 |
| Midsize Enterprise | 50 |
| Large Enterprise | 313 |
Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.
The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.
Amazon Redshift Functionalities
Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:
Reviews from Real Users
“Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS
“With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
| Author info | Rating | Review Summary |
|---|---|---|
| Data Analytics, Ai & Automation Lead at a venture capital & private equity firm with 10,001+ employees | 4.0 | I use Amazon Redshift as our data lake and data mart. Its performance optimization and scalability are valuable, but it relies on other AWS tools like S3 and Glue, making integration necessary. The initial setup sizing could be improved. |
| analyst at a non-profit with 11-50 employees | 4.0 | We use Amazon Redshift as a data warehouse to handle large datasets for insurance companies, benefiting from its fast data retrieval, scalability, and integration with Amazon tools. The interface could improve, but overall, it meets our needs. |
| Senior Analyst at ESRI INDIA | 3.0 | I provide resources to developers using Amazon Redshift for machine learning. It offers efficient querying and strong security features. We're still evaluating its potential as we're waiting on government data to assess its effectiveness in our projects. |
| Tech Lead at Impetus | 4.5 | I primarily use Amazon Redshift for connecting to BI tools like Tableau and Power BI. Its seamless connection and scalability are valuable, though better immediate response and improved connector availability would enhance the service. I haven't evaluated alternatives. |
| Senior Data Engineer at a computer software company with 201-500 employees | 4.0 | Amazon Redshift serves as a reliable data warehouse, allowing us to easily store and integrate data without concerns about partitions or I/O speed. However, obtaining metadata can be cumbersome, and it lacks primary-key tools. |
| Senior Data Platform Manager at a manufacturing company with 10,001+ employees | 4.0 | Our team uses Amazon Redshift as our data warehouse, benefiting from its parallel processing capabilities and scalability. However, the costs can rise significantly, and there are occasional issues with nodes and column synchronization that need attention. |
| Solutions Architect at a hospitality company with 501-1,000 employees | 3.5 | We use Amazon Redshift in our business intelligence ecosystem for its simplicity, cost-effectiveness, scalability, and reliability. It's closely integrated with our data sources via AWS. While there are minor BI limitations, they have manageable workarounds. |
| Data Analyst Lead at Vectornator | 3.5 | I use Amazon Redshift for structured data analytics with DBT integration, but I wish for more flexible, serverless options to avoid buying new servers for additional computing needs. The service is cost-effective, though some features are limited. |
