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Amazon Web Services (AWS)

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18,237 reviews
  • 444 profiles
  • 222 categories
Average star rating
4.4
#1 in 36 categories
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Serving customers since
2006
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Microsoft SQL Server 2017 Web on Windows Server 2019

10 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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Amazon WAM

10 reviews

Amazon WAM (WorkSpaces Application Manager) is a service by AWS that enables easy deployment and management of applications on Amazon WorkSpaces virtual desktops.

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Microsoft Windows Server 2012 R2

8 reviews

Microsoft Windows Server 2012 R2 is a robust server operating system designed to provide a dynamic, available, and cost-effective server platform for data centers and private clouds. Building upon the foundation of Windows Server 2012, this release introduces enhanced features that support scalable, multitenant-aware cloud infrastructures, enabling organizations to connect more securely across premises and respond to business needs with greater agility. Key Features and Functionality: - Automated Tiering: Optimizes storage performance by automatically moving frequently accessed files to faster storage media. - Deduplication for VHD: Reduces storage requirements by eliminating duplicate data within Virtual Hard Disk files. - Windows PowerShell v4 with Desired State Configuration (DSC: Enhances automation capabilities, allowing administrators to manage and maintain system configurations efficiently. - Integrated Office 365 Support (Essentials Edition: Simplifies integration with Office 365 services, facilitating seamless collaboration and communication. - User Interface Enhancements: Incorporates changes reflecting Windows 8.1, including a visible Start button for improved navigation. - UEFI-Based Virtual Machines: Supports virtual machines using Unified Extensible Firmware Interface, enhancing security and boot performance. - Improved Hyper-V Capabilities: Offers faster virtual machine deployment and support for UEFI-based virtual machines, enhancing virtualization performance. - Internet Information Services (IIS 8.5: Introduces support for logging to Event Tracing for Windows and the ability to log any request/response headers, improving web server management. - Server Message Block (SMB Enhancements: Improves performance and event logging, supports Hyper-V Live Migration over SMB, and allows bandwidth prioritization management. - Windows Defender Integration: Provides built-in malware protection, even in Server Core installations, enhancing system security. - IP Address Management (IPAM: Extends support for role-based access control, allowing fine-grained control over IP address configurations and integration with System Center Virtual Machine Manager 2012 R2. - Group Policy Improvements: Introduces a "Policy Cache" setting, enabling domain-joined machines to store a copy of group policy settings locally, reducing startup times. Primary Value and Solutions Provided: Windows Server 2012 R2 delivers a comprehensive server platform that enhances virtualization, storage, networking, and automation capabilities. By supporting scalable and secure cloud infrastructures, it enables organizations to manage workloads more efficiently, improve resource utilization, and ensure high availability of services. The integration of advanced features like automated storage tiering, deduplication, and enhanced Hyper-V support addresses the growing demands for performance and scalability in modern IT environments. Additionally, the inclusion of Windows PowerShell v4 with DSC and improved IPAM facilitates streamlined management and configuration, reducing administrative overhead and enhancing operational efficiency.

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Microsoft SQL Server 2017 Enterprise on Windows Server 2016

8 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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Microsoft SQL Server 2012 Standard on Windows Server 2012 RTM

7 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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Amazon FSx for NetApp ONTAP

7 reviews

Amazon FSx for NetApp ONTAP provides fully managed shared storage in the AWS Cloud with the popular data access and management capabilities of ONTAP. Category should be Cloud File Storage

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AWS Reserved Instance Reporting

6 reviews

AWS provides a number of RI-specific cost management solutions out-of-the-box to help you better understand and manage your RIs. Using the RI Utilization and Coverage reports available in AWS Cost Explorer, you can visualize your RI data at an aggregate level or inspect a particular RI subscription.

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Amazon Q Business

6 reviews

Amazon Q generates code, tests, debugs, and has multistep planning and reasoning capabilities that can transform and implement new code generated from developer requests. Amazon Q also makes it easier for employees to get answers to questions across business data—such as company policies, product information, business results, code base, employees, and many other topics—by connecting to enterprise data repositories to summarize the data logically, analyze trends, and engage in dialogue about the data.

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BERT Base

5 reviews

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 Multilingual Wikipedia returns an embedding of the input pair of question-context strings.

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Amazon Web Services (AWS) Reviews

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Profile Name
Star Rating
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

Powerful, Cost-Effective S3 Sensitive Data Discovery with Amazon Macie

Amazon Macie has become an important part of our cloud security strategy by automatically discovering, classifying, and protecting sensitive data stored in Amazon S3. I particularly like its ability to identify personally identifiable information (PII), financial records, credentials, and other sensitive content without requiring custom data classification rules. The console provides intuitive dashboards, detailed findings, and risk summaries that make it easy for security teams to prioritize remediation efforts. The service integrates seamlessly with Security Hub, CloudTrail, EventBridge, IAM, and AWS Organizations to provide centralized visibility across multiple AWS accounts. Performance has been excellent when scanning large S3 environments, and scheduled discovery jobs automate ongoing compliance monitoring with minimal operational effort. Pricing is based on the amount of data evaluated, making it cost-effective for organizations that need continuous data security monitoring. Although Macie itself is not an AI service, it complements Amazon Q Security by supplying security findings that assist analysts during investigations.
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

Amazon MSK Makes Kafka Operations Simple with Seamless Scaling and AWS Integrations

Amazon MSK has significantly simplified operating Apache Kafka by eliminating the complexity of provisioning, patching, monitoring, and maintaining Kafka clusters ourselves. I particularly like its compatibility with native Apache Kafka APIs, automated broker management, seamless scaling, high availability, and tight integration with the AWS ecosystem. The AWS Console provides a clean interface for managing clusters, broker configurations, storage scaling, networking, and monitoring, making administration much easier than self-managed Kafka deployments. Performance has been excellent for handling high-throughput event streaming workloads with low latency and reliable message delivery. Native integrations with IAM, CloudWatch, Lambda, Glue, Flink, and Amazon MSK Connect make it easy to build end-to-end streaming architectures. Pricing is competitive considering the operational effort saved by using a fully managed Kafka platform instead of maintaining ZooKeeper, brokers, upgrades, and backups. While Amazon MSK itself is not an AI service, it plays a key role in streaming real-time data into SageMaker AI, Amazon Bedrock, and analytics pipelines.
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

Intuitive, Managed Cloud IDE with Strong AWS Integration

AWS Cloud9 provides a fully managed browser-based IDE that simplifies cloud-native development without requiring local environment configuration. I particularly like its integrated terminal, collaborative editing capabilities, built-in debugger, AWS CLI integration, and direct access to EC2-hosted development environments. The interface is intuitive and allows developers to begin coding almost immediately. Performance has been reliable for infrastructure automation, Lambda development, Python applications, and cloud engineering tasks. Since the development environment runs inside AWS, developers can securely access AWS resources without extensive local configuration. Pricing is attractive because only the underlying EC2 resources are billed, making it economical for temporary development environments. Cloud9 also integrates well with Amazon Q and CodeWhisperer capabilities for AI-assisted coding workflows.

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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