
Google Cloud Platform
DigitalOcean
Microsoft Azure
Linode
Heroku
Vultr
CloudFlare
Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.

Google BigQuery
Microsoft SQL Server
Microsoft Office Access
Brilliant Database
Firebird
Microsoft SQL Server Compact
CompactView
Learn about Amazon Redshift cloud data warehouse.

Which is more popular?
Based on our record, Amazon AWS seems to be a lot more popular than Amazon Redshift. While we know about 488 links to Amazon AWS, we've tracked only 30 mentions of Amazon Redshift.
Website, pricing, platforms and company facts side by side.
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| Website | aws.amazon.com | aws.amazon.com |
| Pricing | — | |
| Company | Startup from the United States | — |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Amazon AWS yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Announcing AWS DeepComposer with Dr. Matt Wood, feat. Jonathan Coulton
More videos
Getting Started with Amazon Redshift - AWS Online Tech Talks
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Amazon AWS and Amazon Redshift. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


API Gateway private endpoints allow AWS customers to use API endpoints inside their VPC. They can leverage Route 53 resolver endpoints and hybrid connectivity to access APIs and integrated backend services from...
Dedicated hosts on Amazon EC2 are physical servers that are completely dedicated to meeting corporate compliance standards. With AWS, you can create EC2 instances on a dedicated server. The flexibility offered by...
The dedicated server options from Amazon Web Services (AWS), a well-known brand in the tech industry, are equally excellent. AWS’s elastic infrastructure can smoothly adjust to your demands whether your e-commerce...
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis,...
Amazon Redshift is a powerful, fully managed data warehousing solution designed for handling large-scale analytics and business intelligence workloads. Its seamless integration with the AWS ecosystem makes it a top...
No, SQL (Structured Query Language) is not a data warehouse itself. SQL is a programming language used for managing and querying data stored in relational database management systems (RDBMS) and data warehouses. Many...
Recommendations tracked on public social media and blogs since March 2021.


Read replicas can be deployed to edge locations (e.g., AWS us‑east‑1, ap‑south‑1) to serve match requests with <10 ms latency. Remember that write traffic still funnels to the core. - Source: dev.to / 19 days ago
Provision managed resources (Postgres, MongoDB, Kafka, RabbitMQ, etc.) from DigitalOcean, Supabase, Scaleway, AWS, or Google Cloud. It doesn't really matter which; they all offer good SLAs. - Source: dev.to / about 2 months ago
In conclusion, Cloudflare Workers and AWS Lambda are two popular edge computing solutions that offer a range of benefits, including reduced latency, improved performance, and enhanced security. By understanding the key differences... - Source: dev.to / 3 months ago
Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its... - Source: dev.to / 9 months ago
If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data... - Source: dev.to / over 1 year ago
Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. It’s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / almost 2 years ago
When comparing Amazon AWS and Amazon Redshift, you can also consider the following products.

Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
Compare Google Cloud Platform to Amazon AWS or Amazon Redshift:

A fully managed data warehouse for large-scale data analytics.
Compare Google BigQuery to Amazon AWS or Amazon Redshift:

Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Compare DigitalOcean to Amazon AWS or Amazon Redshift:

Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.
Compare Microsoft SQL Server to Amazon AWS or Amazon Redshift:

Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Compare Microsoft Azure to Amazon AWS or Amazon Redshift:

Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.
Compare Microsoft Office Access to Amazon AWS or Amazon Redshift: