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Average Ratings 0 Ratings
Description
Amazon AppFlow is a comprehensive integration service that allows for the secure transfer of data between various Software-as-a-Service (SaaS) applications, such as Salesforce, Marketo, Slack, and ServiceNow, along with AWS services like Amazon S3 and Amazon Redshift, all with just a few clicks. It facilitates the execution of data flows at virtually any scale, allowing users to determine the frequency of these operations—whether on a set schedule, triggered by a business event, or initiated on demand. AppFlow also offers data transformation features like filtering and validation, enabling users to create rich, ready-to-use datasets as part of the flow without the need for extra steps. Furthermore, it ensures that data is automatically encrypted during transit, and it provides options for users to prevent data from traversing the public internet when using SaaS applications integrated with AWS PrivateLink, thereby minimizing the risk of security vulnerabilities. By default, any data transfers involving SaaS integrations that utilize AWS PrivateLink are protected from exposure to the public internet, enhancing overall data security. This level of integration not only simplifies the process but also boosts confidence in managing sensitive information securely.
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
API Access
Has API
Integrations
AWS Secrets Manager
Amazon S3
Amazon Transcribe
Akira AI
Appen
Astera Data Warehouse Builder
Ataccama ONE
Coefficient
Conversionomics
DataTrust
Integrations
AWS Secrets Manager
Amazon S3
Amazon Transcribe
Akira AI
Appen
Astera Data Warehouse Builder
Ataccama ONE
Coefficient
Conversionomics
DataTrust
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.543 per hour
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/appflow/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/redshift/
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge