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Amazon Web Services (AWS)

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18,243 reviews
  • 445 profiles
  • 221 categories
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4.4
#1 in 34 categories
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Serving customers since
2006
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BERT Large Cased

0 reviews

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. PyTorch, the PyTorch logo and any related marks are trademarks of Facebook, Inc.

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BiT-M R50x1 ImageNet-21k

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-21k 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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SSD Mobilenet V2

0 reviews

It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the task is to identify the objects and their positions in the image. A list of the objects that the model can identify is given at the end of the page. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc

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BiT-M R101x1 ImageNet-21k

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-21k 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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PyTorch SSD

0 reviews

This is a Object Detection Answering model from PyTorch Hub

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RoBERTa Large OpenAI

0 reviews

This is a Extractive Question Answering model from PyTorch Hub

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Retinanet SSD Resnet-152 1024x1024

0 reviews

This is a Object Detection Answering model from TensorFlow Hub

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XLM MLM TLM 15 XNLI Languages

0 reviews

This is a Sentence Pair Classification model built upon a Text Embedding model from PyTorch Hub

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EfficientNet B0

0 reviews

This is a Image Classification model from TensorFlow Hub

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Amazon Web Services (AWS) Reviews

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Profile Name
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