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Amazon Web Services (AWS)

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18,237 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

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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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

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.
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.

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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