Product Avatar Image

Amazon Web Services (AWS)

Show rating breakdown
18,238 reviews
  • 444 profiles
  • 222 categories
Average star rating
4.4
#1 in 36 categories
Grid® leader
Serving customers since
2006
Profile Filters

All Products & Services

Product Avatar Image
DistilBERT Base Multilingual Cased

0 reviews

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

Product Avatar Image
ResNet 34

0 reviews

This is a Image Classification model from PyTorch Hub

Product Avatar Image
ResNet V2 101

0 reviews

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Product Avatar Image
MobileNet V1 0.75 224

0 reviews

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Product Avatar Image
DenseNet 121

0 reviews

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

Product Avatar Image
RoBERTa Large OpenAI

0 reviews

This is a Extractive Question Answering model from PyTorch Hub

Product Avatar Image
MobileNet V2 1.40 224

0 reviews

It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes. The model predicts classes including the additional class for background. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Product Avatar Image
Faster R-CNN Resnet-152 V1 800x1333

0 reviews

It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify the objects and their positions in the image. A list of the objects that the model can identify is given at the end of the page. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

Product Avatar Image
ELK Stack Monitoring for Automated Smart Observability on AWS

0 reviews

(Elastic Search, Kibana, Filebeat) stack helps analyze logs with advanced search, visualization, and alerting. Adopting cloud services results in increased log data that needs monitoring and analysis. AWS CloudWatch is a service for aggregating log data with limited analytics capabilities. Yet, setting up an ELK stack requires time and expertise. A pre-built ELK Stack saves resources by providing an optimized ELK environment tuned for AWS Observability.

Profile Name

Star Rating

11943
5314
729
146
96

Amazon Web Services (AWS) Reviews

Review Filters
Profile Name
Star Rating
11943
5314
729
146
96
Atharva P.
AP
Atharva P.
Cloud BI Engineer at ZS | Ex-Cognizant
07/30/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Seamless AWS Integration, Fast Performance, and Built-In Vulnerability Scanning

Amazon ECR has become our standard private container registry for storing Docker and OCI-compatible images. I particularly like its seamless integration with ECS, EKS, CodePipeline, CodeBuild, IAM, and vulnerability scanning capabilities. The console is intuitive for managing repositories, lifecycle policies, image tags, and scan results, while the Docker CLI experience remains familiar for developers. Performance has been consistently excellent with fast image push and pull operations across production deployments. Native integration with AWS services eliminates the need to manage registry infrastructure, and lifecycle policies automatically clean up unused images to optimize storage costs. Pricing is straightforward and cost-effective since charges are based primarily on image storage and data transfer. Amazon Inspector integration also strengthens security by automatically identifying vulnerabilities within container images. Although ECR itself does not include AI features, it integrates naturally with Amazon Q-assisted CI/CD workflows and Bedrock-powered application deployments.
Atharva P.
AP
Atharva P.
Cloud BI Engineer at ZS | Ex-Cognizant
07/30/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

AWS Verified Access Simplifies Zero Trust with Fast, Policy-Based Access

AWS Verified Access has significantly simplified implementing Zero Trust access for internal applications without relying solely on traditional VPNs. I particularly like its policy-based access engine, continuous identity verification, device posture evaluation, and seamless integration with enterprise identity providers. The AWS Console provides a clean interface for configuring trust providers, access groups, applications, and access policies, making onboarding relatively straightforward for security teams. The service integrates exceptionally well with AWS IAM Identity Center, Amazon Cognito, Microsoft Entra ID (Azure AD), Okta, EC2, Application Load Balancer, and AWS WAF. Performance has been excellent since authorization decisions are evaluated quickly without introducing noticeable latency for end users. From an ROI perspective, Verified Access reduces operational overhead by eliminating VPN infrastructure for many internal applications while strengthening security through continuous authorization. Although it is not an AI service, it complements Amazon Q Security and Security Hub by enforcing identity-aware access policies within a Zero Trust architecture.
Atharva P.
AP
Atharva P.
Cloud BI Engineer at ZS | Ex-Cognizant
07/30/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Secure, Simple Git Repos with Seamless AWS-Native CI/CD Integration

AWS CodeCommit is currently our primary Git repository service for managing application source code, Infrastructure-as-Code templates, and deployment automation. I particularly like its seamless integration with the AWS ecosystem, IAM-based authentication, repository encryption, branch-level access controls, and native support for Git workflows. The interface is straightforward and easy to navigate for day-to-day repository management, while developers can continue using familiar Git CLI tools and IDE integrations. One of its biggest strengths is how naturally it integrates with AWS CodePipeline, CodeBuild, CodeDeploy, CloudFormation, Lambda, and EventBridge to build end-to-end CI/CD pipelines. Repository performance has been consistently reliable even as our codebase has grown, with fast cloning, commits, and pull operations. Since AWS manages the underlying infrastructure, we don't need to maintain Git servers, backups, or availability ourselves, which reduces operational overhead and provides excellent ROI. Although CodeCommit itself doesn't provide built-in AI capabilities, it integrates well with Amazon Q for code generation, infrastructure recommendations, code explanations, and development assistance throughout the software delivery lifecycle.

About

Contact

HQ Location:
Seattle, WA

Social

@awscloud

What is Amazon Web Services (AWS)?

Amazon Web Services (AWS), a subsidiary of Amazon, is a leading cloud computing platform that provides a wide range of on-demand services such as computing power, data storage, databases, networking, and artificial intelligence tools. It enables businesses to build, deploy, and scale applications without investing in physical infrastructure, using a flexible pay-as-you-go pricing model. With a global network of data centers, AWS supports organizations of all sizes—from startups to large enterprises—by offering reliable, secure, and highly scalable solutions for modern digital operations.

Details

Year Founded
2006
Ownership
NASDAQ: AMZN
Website
aws.amazon.com