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Amazon Web Services (AWS)

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18,237 reviews
  • 444 profiles
  • 222 categories
Average star rating
4.4
#1 in 36 categories
Grid® leader
Serving customers since
2006
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DistilBERT Base Multilingual Cased

0 reviews

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

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ResNet 34

0 reviews

This is a Image Classification model from PyTorch Hub

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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.

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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.

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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.

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RoBERTa Large OpenAI

0 reviews

This is a Extractive Question Answering model from PyTorch Hub

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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.

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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.

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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.

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Amazon Web Services (AWS) Reviews

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96
Hammad .
H
Hammad .
🎓 | Data Science Graduate | Machine Learning | Artificial Intelligence | Data Engineering | Python | Power Bi | SQL | Excel | SPSS
07/31/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Code Anywhere with AWS Cloud9 and Seamless AWS Integration

What I like most about AWS Cloud9 is that I can open my project from any browser and start coding right away without setting up my local environment. I also like the built-in terminal and how easily it connects with AWS services. It has made testing small changes and working on different machines much more convenient.
Sony P.
SP
Sony P.
07/31/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Secure, Fine-Grained Access Control That Keeps AWS Productivity High

What I like most about AWS IAM is how securely it lets me manage users, roles, and permissions through fine grained access control. It integrates smoothly with other AWS services, supports multi factor authentication (MFA), and aligns well with the principle of least privilege. Overall, it helps me maintain strong security without getting in the way of productivity.
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

Powerful, Cost-Effective S3 Sensitive Data Discovery with Amazon Macie

Amazon Macie has become an important part of our cloud security strategy by automatically discovering, classifying, and protecting sensitive data stored in Amazon S3. I particularly like its ability to identify personally identifiable information (PII), financial records, credentials, and other sensitive content without requiring custom data classification rules. The console provides intuitive dashboards, detailed findings, and risk summaries that make it easy for security teams to prioritize remediation efforts. The service integrates seamlessly with Security Hub, CloudTrail, EventBridge, IAM, and AWS Organizations to provide centralized visibility across multiple AWS accounts. Performance has been excellent when scanning large S3 environments, and scheduled discovery jobs automate ongoing compliance monitoring with minimal operational effort. Pricing is based on the amount of data evaluated, making it cost-effective for organizations that need continuous data security monitoring. Although Macie itself is not an AI service, it complements Amazon Q Security by supplying security findings that assist analysts during investigations.

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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