Amazon Web Services (AWS)

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18,252 reviews
  • 447 profiles
  • 224 categories
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4.4
#1 in 34 categories
Grid® leader
Serving customers since
2006
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RoBERTa Base PyTorch Hub Extractive Question Answering

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This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/ ). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings.

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BERT Base Uncased PyTorch Hub Sentence Pair Classification

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This is a Sentence Pair Classification model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/ ). 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.

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BERT Base Cased PyTorch Hub Extractive Question Answering

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This is a Extractive Question Answering model built upon a Text Embedding model from [PyTorch Hub](https://pytorch.org/hub/huggingface_pytorch-transformers/ ). It takes as input a pair of question-context strings, and returns a sub-string from the context as a answer to the question. The Text Embedding model which is pre-trained on English Text returns an embedding of the input pair of question-context strings.

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AWS Developer Support

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AWS Developer Support offers technical assistance and resources to developers using AWS services, helping them troubleshoot issues and optimize their applications.

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partyrock

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PartyRock makes learning easy with a hands-on, code-free app builder. Experiment with prompt engineering techniques, review generated responses, and develop intuition for generative AI while creating and exploring fun apps.

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Amazon Fraud Detector

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Amazon Fraud Detector is a fully managed service enabling customers to identify potentially fraudulent activities and catch more online fraud faster.

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AWS Entity Resolution

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AWS Entity Resolution helps you more easily match, link, and enhance related customer, product, business, or healthcare records stored across multiple applications, channels, and data stores. You can use flexible and configurable rule, machine learning, or data service provider matching techniques to optimize your records based on your business needs.

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AWS HealthLake

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AWS HealthLake is a HIPAA-eligible service offering healthcare companies a complete view of individual and patient population health data using FHIR (Fast Healthcare Interoperable Resources) API based transactions to securely store and transform their data into a queryable format at petabyte scale, and further analyze this data using machine learning (ML) models. Using the HealthLake FHIR-based APIs, healthcare organizations can easily import large volumes of health data, including medical reports or patient notes, from on-premises systems to a secure, compliant, and pay-as-you-go service in the cloud. HealthLake offers built-in natural language processing (NLP) models to help customers understand and extract meaningful medical information from a single copy of raw health data, such as medications, procedures, and diagnoses.

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Amazon Lookout for Metrics

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Amazon Lookout for Metrics uses ML to detect and diagnose anomalies within business and operational data.

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Amazon Web Services (AWS) Reviews

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Star Rating
11952
5318
731
146
97
Tharun Chari K.
TK
Tharun Chari K.
FreelancerMid-Market (51-1000 emp.)
10/23/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Amazon EKS Simplifies Kubernetes Management with Seamless AWS Integration

What I like most about Amazon EKS is that it simplifies Kubernetes management without having to manage the control plane ourselves. It integrates well with AWS services and makes it easier to deploy, scale, and monitor applications. It also works well with CI/CD pipelines to automate deployments.
Aashish d.
AD
Aashish d.
Software engineer Computer SoftwareSmall-Business (50 or fewer emp.)
10/14/2026
Validated Reviewer
Review source: Organic

Cost-Effective Scaling, but Strict Suspensions and a Tedious Sandbox Exit

What I love most about Amazon SES is its pricing and how smoothly it scales. Unlike other email providers that start charging huge monthly premiums as your contact list grows, SES lets you pay only for what you actually send. That makes it extremely cost-effective, especially when you’re handling high-volume transactional emails such as receipts or password resets.
Abhishek G.
AG
Abhishek G.
StudentSmall-Business (50 or fewer emp.)
10/14/2026
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile

Flexible, Reliable Server Scaling with Amazon EC2

What I like most about Amazon EC2 is how easy it makes it to set up and manage servers without needing physical hardware. I can quickly launch instances, scale resources whenever needed, and pay only for what I use. It’s flexible, reliable, and saves both time and effort when deploying applications.

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Seattle, WA

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@awscloud

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