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Amazon Web Services (AWS)

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4.4 out of 5 stars
18,238 reviews
  • 444 profiles
  • 222 categories
Average star rating
4.4
#1 in 36 categories
Grid® leader
Serving customers since
2006

Featured Products

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Amazon EC2

1,200 reviews

AWS Elastic Compute Cloud (EC2) is a web service that provides resizable compute capacity in the cloud, making web-scale computing easier for developers.

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Amazon Simple Storage Service (S3)

948 reviews

Amazon Simple Storage Service (S3) is storage for the Internet. A simple web services interface used to store and retrieve any amount of data, at any time, from anywhere on the web.

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Amazon Relational Database Service (RDS)

909 reviews

Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.

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AWS Lambda

1,052 reviews

Run code without thinking about servers. Pay for only the compute time you consume.

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MobileNet V1 0.50 128

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.

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BERT Base MEDLINE/PubMed

0 reviews

It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on MEDLINE/PubMed returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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BERT Large Uncased

0 reviews

It takes a pair of sentences as input and classifies the input pair to 'entailment' or 'no-entailment'. The class label entailment implies the second sentence entails the first sentence, and the no-entailment implies it does not. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of sentences. The model available for deployment is created by attaching a binary classification layer to the output of the Text Embedding model, and then fine-tuning the entire model on [QNLI](https://rajpurkar.github.io/SQuAD-explorer/ ) dataset. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

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MobileNet V1 0.25 224

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.

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ELECTRA-Base++

0 reviews

It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on WikiPedia and BookCorpus returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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BiT-M R50x1

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.

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BiT-S R50x1

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.

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Cloudwatch Logs connector for AWS Glue

0 reviews

Our AI-based Passport Scanning Recognition System would reduce the need for 60 office workers employed manual verification and tracking. Additionally, the has a real time automated data entry tool to streamline and maintain the database of over 100,000 aviation personnel.

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Wide ResNet 50

0 reviews

This is an Image Classification model from PyTorch Hub. It takes an image as input and classifies the image to one of the 1000 classes.

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Amazon Web Services (AWS) Reviews

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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 Elastic Container Registry (ECR)
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 Vertrified 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
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.

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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