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Average Ratings 0 Ratings
Description
AWS Data Exchange is a service designed to streamline the process of discovering, subscribing to, and utilizing third-party data within the cloud environment. It features an extensive catalog comprising over 3,500 data sets sourced from more than 300 different data providers, which include a variety of formats such as data files, tables, and APIs. This platform allows users to efficiently manage data procurement and governance by centralizing all third-party data subscriptions in one location while also providing the option to transfer existing subscriptions without incurring additional fees. Furthermore, AWS Data Exchange guarantees secure and compliant data usage by integrating with AWS Identity and Access Management (IAM) and offering data encryption both at rest and during transmission. Users can easily incorporate the subscribed data into their AWS ecosystem, enhancing their capabilities for analytics and machine learning projects. The service accommodates multiple data delivery methods, including direct access to data stored in Amazon S3 buckets managed by data providers, enabling subscribers to leverage these files with AWS solutions such as Amazon Athena and Amazon EMR. This comprehensive approach ensures that organizations can harness the power of third-party data while maintaining control and security throughout the process.
Description
Amazon Redshift is a modern cloud data warehouse platform developed by AWS to help organizations run large-scale analytics and AI-powered workloads with exceptional speed, scalability, and cost efficiency. The solution enables businesses to unify data across Amazon S3 data lakes, Redshift data warehouses, and federated third-party data sources using a secure and open lakehouse architecture. Redshift supports SQL-based analytics and provides organizations with the ability to process massive volumes of data while maintaining strong price-performance advantages compared to traditional cloud data warehouse platforms. The platform features AWS Graviton-powered RG instances that deliver faster query performance and lower operational costs while supporting open data formats such as Apache Iceberg and Apache Parquet. Redshift Serverless allows users to run analytics without provisioning or managing infrastructure, making it easier for teams to scale resources dynamically based on workload demands. The solution also includes zero-ETL integrations that enable near real-time analytics by connecting operational databases, streaming systems, and enterprise applications without requiring complex data engineering workflows. Amazon Redshift integrates with Amazon SageMaker for unified analytics and machine learning capabilities while also supporting Amazon Bedrock for generative AI applications and structured knowledge management. Organizations across industries use Redshift to improve forecasting, optimize business intelligence, accelerate machine learning operations, and monetize data assets more effectively.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Verana Health
Yes
Adobe Real-Time CDP
No
Amazon SageMaker Data Wrangler
No
Anomalo
No
Cloudgov.ai
No
DbSchema
No
ElevateHQ
No
Longview Transfer Pricing
No
Integrations
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Verana Health
Yes
Adobe Real-Time CDP
Yes
Amazon SageMaker Data Wrangler
Yes
Anomalo
Yes
Cloudgov.ai
Yes
DbSchema
Yes
ElevateHQ
Yes
Longview Transfer Pricing
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.543 per hour
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/data-exchange/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/redshift/
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No