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Amazon Web Services (AWS)

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18,243 reviews
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  • 221 categories
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4.4
#1 in 34 categories
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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
11948
5313
731
146
96
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.
KESHAV B.
KB
KESHAV B.
Chartered Accountant (Jan’26) | Senior Associate @ EXO Edge | R2R | MIS | Assurance | Tax | Financial Analysis | SAP | Workday | Tally | MS Excel | CaseWare - Driving Accurate Closures & Insightful Financial Decisions
09/16/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review
Translated Using AI

Accurate Sentiment Insights with Seamless AWS Integration

Amazon Comprehend makes it easy to understand and analyze large amounts of text without building complex AI models from scratch. I particularly appreciate its accurate sentiment analysis, entity recognition, and seamless integration with the AWS ecosystem, which helps save time and improve efficiency in data-driven projects.
MD
Marco D.
09/16/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Flexible, Well-Documented Scaling - But Pricing Can Get Steep

First: Amazon EC2's wide availability allows for a large number of first and third party tools for integrating the service with other services. Everything is well documented by Amazon themselves or by third parties.<br><br>Second: For our use case we needed to scale to a large number of compute instances rapidly which EC2 made possible. I also appreciate the flexibility of scaling down as quickly as we scaled up if needed.<br><br>Third: We initially focussed on a single European market, but Amazon's global reach allows our tech stack to easily enter different markets to, for example, be compliant with that markets compliance requirements.

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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