Audience

Enterprises, data engineers, business intelligence teams, analytics professionals, developers, and organizations seeking scalable cloud data warehousing, real-time analytics, and AI-driven data processing capabilities

About Amazon Redshift

Amazon Redshift is a cloud-based data warehouse solution from AWS designed to deliver high-performance analytics and support modern AI-driven workloads. The platform enables organizations to analyze large volumes of structured and unstructured data across data warehouses, data lakes, and third-party sources using SQL. Redshift is built for scalability and cost efficiency, offering improved throughput and price-performance with AWS Graviton-powered RG instances and Redshift Serverless options. The solution also supports near real-time analytics through zero-ETL integrations that connect operational databases, streaming services, and enterprise applications without complex data pipelines. Amazon Redshift integrates with Amazon SageMaker and Amazon Bedrock to support advanced machine learning, analytics, and generative AI use cases.

Pricing

Starting Price:
$0.543 per hour
Free Trial:
Free Trial available.

Integrations

API:
Yes, Amazon Redshift offers API access

Ratings/Reviews

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Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/redshift/

Videos and Screen Captures

Amazon Redshift Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Amazon Redshift Frequently Asked Questions

Q: What kinds of users and organization types does Amazon Redshift work with?
Q: What languages does Amazon Redshift support in their product?
Q: What kind of support options does Amazon Redshift offer?
Q: What other applications or services does Amazon Redshift integrate with?
Q: Does Amazon Redshift have an API?
Q: What type of training does Amazon Redshift provide?
Q: Does Amazon Redshift offer a free trial?
Q: How much does Amazon Redshift cost?

Amazon Redshift Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Data Warehouse

In-Memory Processing
Match & Merge
ETL - Extract / Transfer / Load
Data Migration
Ad hoc Query
Data Quality Control
Analytics
Data Integration

Amazon Redshift Additional Categories