Product Avatar Image

Amazon Web Services (AWS)

Show rating breakdown
18,253 reviews
  • 447 profiles
  • 222 categories
Average star rating
4.4
#1 in 34 categories
Grid® leader
Serving customers since
2006
Profile Filters

All Products & Services

Product Avatar Image
RoBERTa Base PyTorch Hub Extractive Question Answering

0 reviews

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.

Product Avatar Image
BERT Base Uncased PyTorch Hub Sentence Pair Classification

0 reviews

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.

Product Avatar Image
BERT Base Cased PyTorch Hub Extractive Question Answering

0 reviews

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.

Product Avatar Image
AWS Developer Support

0 reviews

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

Product Avatar Image
partyrock

0 reviews

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.

Product Avatar Image
Amazon Fraud Detector

0 reviews

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

Product Avatar Image
AWS Entity Resolution

0 reviews

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.

Product Avatar Image
AWS HealthLake

0 reviews

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.

Product Avatar Image
Amazon Lookout for Metrics

0 reviews

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

Profile Name

Star Rating

11953
5318
731
146
96

Amazon Web Services (AWS) Reviews

Review Filters
Profile Name
Star Rating
11953
5318
731
146
96
SG
Sujata G.
Graphic Designer at hous
09/20/2026
Validated Reviewer
Verified Current User
Review source: Organic

Serverless Simplicity with Auto-Scaling and Pay-Per-Use Efficiency

What I like most about AWS Lambda is that I don’t have to worry about managing servers or infrastructure. I can just focus on writing and deploying my code, and Lambda automatically handles the scaling based on demand. It’s also convenient for building event-driven applications, and I like that I only pay for the compute time my functions actually use.
Verified User in Retail
AR
Verified User in Retail
09/16/2026
Validated Reviewer
Review source: Organic

Reliable and scalable compute infrastructure

Amazon EC2 is helpful because it provides flexible, scalable compute capacity without needing to manage physical servers. I like the ability to quickly provision and resize instances based on workload requirements, integrate with other AWS services and support high availability and automation. It also provides with range of instance types, making it easy to optimize performance and cost.
rupali j.
RJ
rupali j.
--CA Finalist ll Audit Associate @crowe II Ex- BDO Rise Pvt Ltd
09/16/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review
Translated Using AI

Easy, Scalable Text Insights with Amazon Comprehend

What I like most about Amazon Comprehend is how easy it is to extract insights from large amounts of text without needing complex machine learning expertise. It saves time, scales efficiently, and helps automate tasks such as sentiment analysis, entity recognition, and document classification with reliable results.

About

Contact

HQ Location:
Seattle, WA

Social

@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