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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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MobileNet V1 0.50 128

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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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BERT Base MEDLINE/PubMed

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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

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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

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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

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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

Secure, Fast Large-Scale Data Migration with AWS Snowball

AWS Snowball provides a secure and efficient solution for transferring large datasets into and out of AWS when network-based transfers are impractical. I particularly like its rugged hardware, built-in encryption, tamper-resistant design, automatic import process, and straightforward job management through the AWS Console. The appliance is easy to configure, and the associated client software provides a simple user experience for copying large volumes of data. Performance is significantly better than transferring hundreds of terabytes over standard internet connections. The pricing is cost-effective for one-time migrations because it dramatically reduces migration timelines while avoiding prolonged network utilization. Snowball Edge also supports local compute capabilities, allowing preprocessing before data is transferred into AWS. Although Snowball itself does not provide AI functionality, it is commonly used to migrate large training datasets into Amazon S3 for downstream analytics, SageMaker AI, and Amazon Bedrock workloads.
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 CodePipeline: Reliable, Scalable CI/CD with Seamless AWS Integrations

AWS CodePipeline has become the backbone of our CI/CD workflows for infrastructure and application deployments. I particularly like its visual pipeline interface, native AWS integrations, approval gates, parallel stages, event-driven execution, and automatic deployment orchestration. The UI makes it easy to monitor deployment progress while CloudWatch provides detailed execution logs for troubleshooting. The service integrates exceptionally well with CodeBuild, CodeDeploy, CloudFormation, ECS, EKS, Lambda, and third-party Git repositories such as GitHub. Pipeline execution is reliable and scales automatically without requiring dedicated build infrastructure. Pricing is predictable because pipelines are managed by AWS, eliminating the operational overhead of maintaining self-hosted CI/CD platforms. More recently, Amazon Q has also helped accelerate pipeline development by generating CloudFormation templates, IAM policies, and deployment scripts.
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

Straightforward Access to Always-Up-to-Date AWS Compliance Reports

AWS Artifact has become our primary source for accessing AWS compliance reports, certifications, and regulatory documentation. The interface is straightforward and makes it easy to download SOC reports, ISO certifications, PCI DSS documentation, GDPR resources, and other compliance artifacts without opening AWS Support cases. The document organization is intuitive, making it easy for security and audit teams to quickly locate the required reports. The service integrates naturally into AWS governance processes alongside AWS Audit Manager, Security Hub, IAM Identity Center, and Organizations. Since the documents are always maintained by AWS, we no longer need to manually request updated compliance evidence during customer audits. Performance is excellent because reports are available immediately, and the service is included with AWS at no additional cost, providing excellent ROI by reducing audit preparation effort. Although AWS Artifact does not include AI capabilities, its documentation is frequently used alongside Amazon Q and Bedrock to help summarize compliance requirements and internal governance documentation.

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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