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Amazon Web Services (AWS)

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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 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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Compute Node for Oracle RAC

1 review

The Compute Node for Oracle RAC is an Amazon Machine Image (AMI) designed to facilitate the deployment of Oracle Real Application Clusters (RAC on Amazon Web Services (AWS). This AMI streamlines the setup process, enabling users to establish Oracle RAC environments efficiently on AWS infrastructure. Key Features and Functionality: - Automated Deployment: Simplifies the configuration and launch of Oracle RAC nodes, reducing manual effort and potential errors. - High Availability and Scalability: Supports the creation of highly available and scalable Oracle RAC clusters, leveraging AWS's cloud capabilities. - Preconfigured Instances: Offers a selection of predefined EC2 instances and Oracle RAC versions to suit various workload requirements. Primary Value and Problem Solved: The Compute Node for Oracle RAC addresses the complexity and time-consuming nature of deploying Oracle RAC in cloud environments. By automating the setup process, it allows organizations to quickly establish robust, high-availability database clusters on AWS, minimizing administrative overhead and accelerating time-to-value.

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AWS Glue Connector for Apache Hudi

1 review

The AWS Glue Connector for Apache Hudi simplifies the process to create and update Apache Hudi tables from AWS Glue. This connector can be used for both Copy on Write (COW) and Merge on Read (MOR) storage types.

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BERT Large Cased Whole Word Masking

1 review

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

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BERT Base Uncased

1 review

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

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BERT Base Multilingual Cased

1 review

This is a Text Classification model from TensorFlow Hub

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ResNet 50

1 review

This is a Image Classification model from TensorFlow Hub

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DistilBERT Base Uncased

1 review

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

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Amazon Web Services (AWS) Reviews

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11943
5314
729
146
96
Atharva P.
AP
Atharva P.
Cloud BI Engineer at ZS | Ex-Cognizant
07/30/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Secure, Fast Large-Scale Data Migration with AWS Snowball

AWS Snowball provides a secure and efficient solution for transferring large datasets into and out of AWS when network-based transfers are impractical. I particularly like its rugged hardware, built-in encryption, tamper-resistant design, automatic import process, and straightforward job management through the AWS Console. The appliance is easy to configure, and the associated client software provides a simple user experience for copying large volumes of data. Performance is significantly better than transferring hundreds of terabytes over standard internet connections. The pricing is cost-effective for one-time migrations because it dramatically reduces migration timelines while avoiding prolonged network utilization. Snowball Edge also supports local compute capabilities, allowing preprocessing before data is transferred into AWS. Although Snowball itself does not provide AI functionality, it is commonly used to migrate large training datasets into Amazon S3 for downstream analytics, SageMaker AI, and Amazon Bedrock workloads.
Atharva P.
AP
Atharva P.
Cloud BI Engineer at ZS | Ex-Cognizant
07/30/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

AWS CodePipeline: Reliable, Scalable CI/CD with Seamless AWS Integrations

AWS CodePipeline has become the backbone of our CI/CD workflows for infrastructure and application deployments. I particularly like its visual pipeline interface, native AWS integrations, approval gates, parallel stages, event-driven execution, and automatic deployment orchestration. The UI makes it easy to monitor deployment progress while CloudWatch provides detailed execution logs for troubleshooting. The service integrates exceptionally well with CodeBuild, CodeDeploy, CloudFormation, ECS, EKS, Lambda, and third-party Git repositories such as GitHub. Pipeline execution is reliable and scales automatically without requiring dedicated build infrastructure. Pricing is predictable because pipelines are managed by AWS, eliminating the operational overhead of maintaining self-hosted CI/CD platforms. More recently, Amazon Q has also helped accelerate pipeline development by generating CloudFormation templates, IAM policies, and deployment scripts.
Atharva P.
AP
Atharva P.
Cloud BI Engineer at ZS | Ex-Cognizant
07/30/2026
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Straightforward Access to Always-Up-to-Date AWS Compliance Reports

AWS Artifact has become our primary source for accessing AWS compliance reports, certifications, and regulatory documentation. The interface is straightforward and makes it easy to download SOC reports, ISO certifications, PCI DSS documentation, GDPR resources, and other compliance artifacts without opening AWS Support cases. The document organization is intuitive, making it easy for security and audit teams to quickly locate the required reports. The service integrates naturally into AWS governance processes alongside AWS Audit Manager, Security Hub, IAM Identity Center, and Organizations. Since the documents are always maintained by AWS, we no longer need to manually request updated compliance evidence during customer audits. Performance is excellent because reports are available immediately, and the service is included with AWS at no additional cost, providing excellent ROI by reducing audit preparation effort. Although AWS Artifact does not include AI capabilities, its documentation is frequently used alongside Amazon Q and Bedrock to help summarize compliance requirements and internal governance documentation.

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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