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Amazon Web Services (AWS)

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18,241 reviews
  • 444 profiles
  • 222 categories
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4.4
#1 in 36 categories
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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

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This is a Image Classification model from PyTorch Hub

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ResNet V2 101

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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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Star Rating
11946
5316
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

Amazon MSK Makes Kafka Operations Simple with Seamless Scaling and AWS Integrations

Amazon MSK has significantly simplified operating Apache Kafka by eliminating the complexity of provisioning, patching, monitoring, and maintaining Kafka clusters ourselves. I particularly like its compatibility with native Apache Kafka APIs, automated broker management, seamless scaling, high availability, and tight integration with the AWS ecosystem. The AWS Console provides a clean interface for managing clusters, broker configurations, storage scaling, networking, and monitoring, making administration much easier than self-managed Kafka deployments. Performance has been excellent for handling high-throughput event streaming workloads with low latency and reliable message delivery. Native integrations with IAM, CloudWatch, Lambda, Glue, Flink, and Amazon MSK Connect make it easy to build end-to-end streaming architectures. Pricing is competitive considering the operational effort saved by using a fully managed Kafka platform instead of maintaining ZooKeeper, brokers, upgrades, and backups. While Amazon MSK itself is not an AI service, it plays a key role in streaming real-time data into SageMaker AI, Amazon Bedrock, and analytics pipelines.
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

Intuitive, Managed Cloud IDE with Strong AWS Integration

AWS Cloud9 provides a fully managed browser-based IDE that simplifies cloud-native development without requiring local environment configuration. I particularly like its integrated terminal, collaborative editing capabilities, built-in debugger, AWS CLI integration, and direct access to EC2-hosted development environments. The interface is intuitive and allows developers to begin coding almost immediately. Performance has been reliable for infrastructure automation, Lambda development, Python applications, and cloud engineering tasks. Since the development environment runs inside AWS, developers can securely access AWS resources without extensive local configuration. Pricing is attractive because only the underlying EC2 resources are billed, making it economical for temporary development environments. Cloud9 also integrates well with Amazon Q and CodeWhisperer capabilities for AI-assisted coding workflows.
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.

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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