Amazon Web Services (AWS)

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19,128 reviews
  • 453 profiles
  • 273 categories
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4.4
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BERT Base MEDLINE/PubMed

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It takes a text string as input and classifies the input text as either a positive or negative movie review. The Text Embedding model which is pre-trained on MEDLINE/PubMed returns an embedding of the input text. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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MobileNet V1 0.50 128

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 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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MobileNet V2

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 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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BERT Large Cased Whole Word Masking SQuAD

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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BERT Base Wikipedia and BooksCorpus

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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 WikiPedia and BookCorpus returns an embedding of the input pair of sentences. TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.

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EfficientNet B7

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 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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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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Amazon Web Services (AWS) Reviews

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Star Rating
12585
5525
760
149
100
Bikash T.
BT
Bikash T.
Machine Learning EngineerSmall-Business (50 or fewer emp.)
11/09/2026
Validated Reviewer
Review source: G2 invite

Infrastructure as Code Made Easy with AWS CDK’s Reusable Constructs

What I like most about AWS CDK is that it lets me define cloud infrastructure using familiar programming languages like TypeScript and Python, rather than having to write complex YAML or JSON templates. This makes infrastructure as code much easier for me to manage, reuse, and maintain over time. I also appreciate the reusable constructs, the built-in AWS integration, and the ability to deploy and manage resources efficiently.
Anshu p.
AP
Anshu p.
Sales And Marketing SpecialistEnterprise (> 1000 emp.)
11/09/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Redshift’s OLAP Capabilities Make Data Analysis More Easier

Olap online analytical processing is one of the best feature of amazon redshift which makes it very helpful in analysing data
Verified User in Information Technology and Services
CI
Verified User in Information Technology and Services
Enterprise (> 1000 emp.)
11/08/2026
Validated Reviewer
Review source: G2 invite
Incentivized Review

Reliable Data Warehousing with Strong AWS Integration

What I like most about Amazon Redshift is its ability to handle large-scale analytical workloads with good performance and scalability. Its seamless integration with other AWS services, especially S3 and AWS Glue, makes it easier to build and manage end-to-end data pipelines. The familiar SQL interface and warehouse capabilities make it a strong choice for enterprise-level analytics and reporting.

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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