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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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Microsoft SQL Server 2016 Express on Windows Server 2016

2 reviews

SQL Server on AWS has lower TCO, higher performance, and the broadest and deepest capabilities. This SQL Server Amazon Machine Images (AMI) is built by Amazon Web Services (AWS) for use on Amazon EC2, the proven, reliable, and secure place for SQL Server.

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AWS Glue Connector for Google BigQuery

2 reviews

The AWS Glue Connector for Google BigQuery simplifies the process of connecting AWS Glue jobs to extract and load data from BigQuery. The BigQuery Connector provides comprehensive access to BigQuery data, facilitating cloud ETL processes for operational reporting, backup and disaster recovery, data governance, and more.

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Microsoft SQL Server 2014 Web on Windows Server 2012 RTM

2 reviews

The SQL Server Amazon Machine Images (AMI) is built, updated, and fully-patched by AWS within five business days of Microsoft's patch Tuesday (the second Tuesday of each month). Launching an instance from this AMI enables you to run the instance as a database server and saves you the effort to install SQL Server software. This AMI comes with following software and drivers including AWS Systems Manager, AWS CloudFormation, AWS Tools for Windows PowerShell, Network drivers, and Storage drivers. You can use AWS Launch Wizard to easily size, configure, and deployment SQL Server applications on AWS. Launch Wizard for SQL Server supports both single instance and high availability deployments according to AWS and SQL Server best practices.

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BERT Base Cased

2 reviews

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

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Inception V2

2 reviews

This is a Image Classification model from TensorFlow Hub

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Microsoft Windows Server 2019 with SQL Server 2019 Express

1 review

Microsoft Windows Server 2019 with SQL Server 2019 Express is a pre-configured Amazon Machine Image (AMI) offered by Amazon Web Services (AWS). This AMI combines the robust capabilities of Windows Server 2019 with the lightweight, free edition of SQL Server 2019 Express, providing a reliable and cost-effective environment for deploying applications and managing databases on AWS. Designed for developers and small-scale applications, this solution simplifies the setup process, allowing users to focus on building and running their applications without the overhead of manual installations. Key Features and Functionality: - Pre-Configured Environment: The AMI comes fully configured with Windows Server 2019 and SQL Server 2019 Express, eliminating the need for manual installation and configuration. - Automatic Updates: AWS ensures that the AMI is built, updated, and fully patched within five business days of Microsoft's Patch Tuesday, maintaining security and performance. - Integrated AWS Tools: The AMI includes AWS Systems Manager, AWS CloudFormation, AWS Tools for Windows PowerShell, and necessary network and storage drivers, facilitating efficient management and deployment. - AWS Launch Wizard Support: Users can leverage AWS Launch Wizard to easily size, configure, and deploy SQL Server applications, supporting both single-instance and high-availability deployments in line with AWS and SQL Server best practices. Primary Value and User Solutions: This AMI offers a streamlined, cost-effective solution for developers and small businesses seeking to deploy Windows-based applications with SQL Server databases on AWS. By providing a ready-to-use environment, it reduces the time and effort required for setup and maintenance, allowing users to focus on application development and deployment. The integration with AWS management tools enhances operational efficiency, while automatic updates ensure the system remains secure and up-to-date. Overall, this solution addresses the need for a reliable, scalable, and easy-to-manage platform for running Windows and SQL Server workloads in the cloud.

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AWS Elemental Delta

1 review

AWS Elemental Delta is a video delivery platform designed to optimize the monetization, management and distribution of multiscreen video across internal and external IP networks.

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Microsoft Windows Server 2019 Core

1 review

Microsoft Windows Server 2019 Core is a streamlined, command-line-based edition of Windows Server 2019, designed for environments that require minimal graphical interface to enhance performance and reduce resource consumption. This edition is particularly suited for data centers and cloud deployments, offering a robust platform for running Windows-based applications and services. Key Features and Functionality: - Minimal Interface: Operates without a traditional graphical user interface, reducing system overhead and potential attack surfaces. - Enhanced Security: Incorporates advanced security features, including Shielded Virtual Machines and improved Windows Defender Advanced Threat Protection, to safeguard against modern threats. - Container Support: Provides support for Windows and Linux containers, facilitating the development and deployment of cloud-native applications. - Storage Solutions: Features Storage Spaces Direct and Storage Replica, enabling efficient and resilient storage management. - Hybrid Capabilities: Seamlessly integrates with Azure services, allowing for hybrid cloud scenarios and maximizing existing infrastructure investments. Primary Value and User Solutions: Windows Server 2019 Core offers a lightweight, secure, and efficient server environment, ideal for organizations aiming to optimize performance and reduce maintenance overhead. Its minimalistic design decreases the attack surface, enhancing security, while its support for modern application development and hybrid cloud integration addresses the needs of businesses transitioning to cloud-based infrastructures.

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Microsoft Windows Server 2019 with SQL Server 2017 Web

1 review

Microsoft Windows Server 2019 with SQL Server 2017 Web is a pre-configured Amazon Machine Image (AMI) offered by Amazon Web Services (AWS). This AMI combines the robust capabilities of Windows Server 2019 with the web-optimized features of SQL Server 2017 Web Edition, providing a reliable and scalable environment for hosting web applications and services. Designed for seamless deployment on AWS EC2 instances, this solution simplifies the setup process, allowing businesses to focus on their core operations without the complexities of manual installations. Key Features and Functionality: - Pre-Configured AMI: The AMI comes fully configured with Windows Server 2019 and SQL Server 2017 Web Edition, reducing the time and effort required for setup. - AWS Integration: Includes AWS Systems Manager, AWS CloudFormation, and AWS Tools for Windows PowerShell, facilitating efficient management and automation within the AWS ecosystem. - Automatic Updates: Regular updates ensure that both Windows Server and SQL Server components remain secure and up-to-date. - Scalability: Easily scalable to meet varying workload demands, making it suitable for small to medium-sized web applications. Primary Value and User Benefits: This solution addresses the need for a cost-effective, scalable, and secure platform for web application hosting. By leveraging the combined strengths of Windows Server 2019 and SQL Server 2017 Web Edition, users benefit from enhanced performance, simplified deployment, and seamless integration with AWS services. This allows businesses to efficiently manage their web applications, ensuring reliability and scalability without the overhead of manual configuration and maintenance.

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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