Amazon Web Services (AWS)

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18,253 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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Profile Name
Star Rating
11952
5318
731
146
97
Dalu B.
DB
Dalu B.
Senior Devops EngineerEnterprise (> 1000 emp.)
10/08/2026
Validated Reviewer
Review source: Organic

Automates Events Effortlessly with AWS Lambda

I like the serverless model and automatic scaling of AWS Lambda because I don't have to manage servers, and it scales automatically according to workload. Its ability to integrate with other AWS Services is great for automation and event-driven applications. The pay-per-use pricing model is also appealing, making it cost-effective for non-continuously running workloads. I value the automatic scaling, event-driven triggers, and seamless integration with services like API Gateway, S3, CloudWatch, and EventBridge for building automation and event-based workflows. CloudWatch logging and monitoring are crucial for troubleshooting and tracking performance. Using environment variables and IAM execution roles makes managing configuration and access control easier and more secure. I found the initial setup relatively easy, especially because creating a function and configuring basic triggers and IAM permissions through the AWS console is straightforward.
bhavik m.
BM
bhavik m.
System AdministratorComputer SoftwareSmall-Business (50 or fewer emp.)
10/07/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Flexible, Reliable EC2 That Makes Deploying and Scaling Servers Easy

Amazon EC2 provides flexible cloud servers that are easy to manage through the AWS console, with a straightforward UI and good integration with services like VPC, S3, CloudWatch, IAM, and Auto Scaling. Performance is reliable, and I can choose instance sizes based on workload and scale when needed. The pay-as-you-go pricing can provide good ROI compared with maintaining physical servers, although costs need to be monitored carefully. AWS provides extensive documentation and support for onboarding and troubleshooting. Overall, EC2 has improved my workflow by allowing me to quickly deploy, manage, and scale servers without dealing with physical hardware.
Aarish A.
AA
Aarish A.
Full Stack EngineerSmall-Business (50 or fewer emp.)
10/01/2026
Validated Reviewer
Review source: Organic Review from User Profile

Complete Control and Strong Network Isolation with Amazon VPC

The level of granular control you have over your virtual networking environment is unmatched. I love the ability to cleanly separate resources into public and private subnets, ensuring that our backend databases and internal microservices are completely isolated from the public internet. The integration of Security Groups (stateful) at the instance level and Network ACLs (stateless) at the subnet level provides excellent defense-in-depth. Plus, VPC Peering makes it relatively painless to connect different environments across regions.

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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