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Average Ratings 0 Ratings

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ease
features
design
support

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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 SageMaker is a comprehensive machine learning platform that integrates powerful tools for model building, training, and deployment in one cohesive environment. It combines data processing, AI model development, and collaboration features, allowing teams to streamline the development of custom AI applications. With SageMaker, users can easily access data stored across Amazon S3 data lakes and Amazon Redshift data warehouses, facilitating faster insights and AI model development. It also supports generative AI use cases, enabling users to develop and scale applications with cutting-edge AI technologies. The platform’s governance and security features ensure that data and models are handled with precision and compliance throughout the entire ML lifecycle. Furthermore, SageMaker provides a unified development studio for real-time collaboration, speeding up data discovery and model deployment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Amazon Transcribe
Splunk User Behavior Analytics
Acryl Data
Amazon FSx for Lustre
Amazon Linux 2
Amazon Nova Forge
Amazon SageMaker Debugger
Amazon SageMaker JumpStart
Comet
Comet LLM
Datadog
OpenMetadata
Orchestra
TruEra
Vectice
WhyLabs
Zendesk
neptune.ai

Integrations

Amazon Redshift
Amazon Transcribe
Splunk User Behavior Analytics
Acryl Data
Amazon FSx for Lustre
Amazon Linux 2
Amazon Nova Forge
Amazon SageMaker Debugger
Amazon SageMaker JumpStart
Comet
Comet LLM
Datadog
OpenMetadata
Orchestra
TruEra
Vectice
WhyLabs
Zendesk
neptune.ai

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
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/sagemaker/

Product Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Product Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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