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Amazon Web Services (AWS)

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18,237 reviews
  • 444 profiles
  • 222 categories
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4.4
#1 in 36 categories
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Serving customers since
2006
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Amazon Kinesis Data Streams

90 reviews

Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.

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Amazon ElastiCache

88 reviews

Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, operate, and scale popular open source compatible in-memory data stores. Build data-intensive apps or improve the performance of your existing apps by retrieving data from high throughput and low latency in-memory data stores.

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AWS CodeCommit

88 reviews

AWS CodeCommit is a fully-managed source control service that makes it easy for companies to host secure and highly scalable private Git repositories. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

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Amazon Comprehend

84 reviews

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic.

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Amazon AWS Platform

83 reviews

Amazon Web Services (AWS) is a comprehensive and widely adopted cloud platform that offers over 200 fully featured services from data centers globally. Since its launch in 2006, AWS has enabled millions of customers—including startups, enterprises, and government agencies—to lower costs, become more agile, and innovate faster. Key Features and Functionality: - Compute Power: AWS provides scalable computing capacity through services like Amazon EC2, allowing users to run applications on virtual servers tailored to their needs. - Storage Solutions: With options such as Amazon S3 and Amazon EBS, AWS offers secure, durable, and scalable storage for a variety of data types. - Database Services: AWS supports multiple database engines, including Amazon RDS for relational databases and Amazon DynamoDB for NoSQL databases, facilitating efficient data management. - Networking: Services like Amazon VPC and AWS Direct Connect enable users to create isolated networks and establish dedicated connections to the AWS cloud. - Security and Compliance: AWS emphasizes security with features like AWS Identity and Access Management (IAM) and compliance certifications to meet various regulatory requirements. - Machine Learning and AI: AWS offers tools such as Amazon SageMaker and Amazon Bedrock to build, train, and deploy machine learning models at scale. - Analytics: With services like Amazon Redshift and Amazon QuickSight, AWS provides powerful analytics capabilities to process and visualize data. Primary Value and Solutions: AWS empowers organizations to modernize operations, drive innovation, and secure their data by offering a broad set of cloud-based products that help them move faster, lower IT costs, and scale applications. By leveraging AWS's extensive global infrastructure and industry-leading security, businesses can focus on their core competencies while AWS manages the underlying technology. This approach enables companies to respond swiftly to market changes, experiment with new ideas, and deliver value to their customers more efficiently.

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Amazon Polly

80 reviews

Amazon Polly is a fully managed service that converts text into lifelike speech, enabling developers to create applications that can "speak" in a natural and human-like manner. Utilizing advanced deep learning technologies, Amazon Polly supports a wide array of languages and offers numerous voices, allowing for the development of speech-enabled applications tailored to diverse audiences. This service is designed to enhance user engagement and accessibility across various platforms, including mobile applications, e-learning systems, and IoT devices. Key Features and Functionality: - Lifelike Voices: Amazon Polly provides a selection of voices that deliver natural-sounding speech, enhancing the user experience. - Customizable Output: Users can adjust speech output using Speech Synthesis Markup Language (SSML) tags to control aspects like pronunciation, volume, pitch, and speech rate. - Generative AI Capabilities: The service employs generative AI models to produce expressive and emotionally engaging speech, suitable for applications requiring a conversational tone. - Multilingual Support: With support for multiple languages and dialects, Amazon Polly enables the creation of applications that cater to a global audience. - Flexible Integration: The service offers APIs that can be seamlessly integrated into existing applications, facilitating quick deployment of voice-enabled features. Primary Value and User Solutions: Amazon Polly addresses the need for natural and engaging speech synthesis in applications, enhancing user interaction and accessibility. By providing high-quality, customizable, and multilingual voice options, it allows developers to create inclusive and immersive experiences. The service's scalability and cost-effectiveness make it suitable for a wide range of use cases, from interactive voice response systems to content narration, thereby solving the challenge of delivering human-like speech in digital applications.

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AWS Bedrock

76 reviews

Amazon Bedrock is a fully managed service that enables organizations to build and scale generative AI applications using foundation models (FMs) from leading AI companies and Amazon. It provides a unified API to access a diverse selection of high-performing FMs, allowing users to experiment, customize, and deploy AI solutions without managing infrastructure. With Amazon Bedrock, businesses can create personalized experiences, automate workflows, and derive actionable insights, all while maintaining security, privacy, and compliance standards. Key Features and Functionality: - Model Choice: Access a wide range of FMs from top AI providers, enabling selection of the most suitable model for specific use cases. - Agent Development: Utilize Amazon Bedrock AgentCore to build, deploy, and operate AI agents securely at scale, facilitating complex task automation. - Customization: Tailor models with proprietary data using tools like Knowledge Bases, Data Automation, prompt engineering, and fine-tuning to enhance relevance and accuracy. - Safety and Guardrails: Implement safeguards with Bedrock Guardrails to filter harmful content and ensure responsible AI usage, supporting compliance with industry standards. - Cost Optimization: Optimize performance and expenses through features like Model Distillation and Intelligent Prompt Routing, balancing cost, latency, and accuracy. Primary Value and Solutions Provided: Amazon Bedrock empowers organizations to rapidly develop and deploy generative AI applications without the complexities of infrastructure management. By offering a diverse selection of foundation models and comprehensive customization tools, it enables businesses to create AI solutions tailored to their unique needs. The platform's robust security measures and compliance support ensure that applications are built responsibly, addressing concerns around data privacy and ethical AI usage. Ultimately, Amazon Bedrock facilitates innovation, enhances operational efficiency, and drives real business impact through scalable and secure AI integration.

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AWS WAF

72 reviews

AWS WAF (Web Application Firewall) is a security service designed to protect web applications and APIs from common web exploits and bots that can compromise security, affect availability, or consume excessive resources. By enabling users to define customizable web security rules, AWS WAF allows precise control over which traffic to allow or block, ensuring robust protection tailored to specific application needs. Key Features and Functionality: - Customizable Security Rules: Users can create rules to filter web requests based on conditions such as IP addresses, HTTP headers, HTTP body, or custom URIs, allowing for tailored security measures. - Managed Rule Groups: AWS WAF offers pre-configured rule groups managed by AWS or AWS Marketplace sellers, providing protection against common threats like SQL injection and cross-site scripting (XSS). These rules are regularly updated to address emerging vulnerabilities. - Bot Control: The service includes capabilities to monitor, block, or rate-limit common and pervasive bots, helping to prevent automated attacks such as web scraping and credential stuffing. - Real-Time Monitoring and Logging: AWS WAF integrates with Amazon CloudWatch, offering real-time metrics and capturing detailed information about web requests. This visibility aids in analyzing traffic patterns and fine-tuning security settings. - DDoS Protection: When used in conjunction with AWS Shield, AWS WAF provides automatic protection against Distributed Denial of Service (DDoS) attacks, ensuring application availability during large-scale attack attempts. - Integration with AWS Services: AWS WAF seamlessly integrates with other AWS services such as Amazon CloudFront, Application Load Balancer, and Amazon API Gateway, enabling centralized security management across various applications. Primary Value and Problem Solved: AWS WAF addresses the critical need for robust web application security by providing a scalable and customizable firewall solution. It empowers organizations to protect their web applications and APIs from a wide range of threats, including common exploits and automated attacks, without compromising performance. By offering both managed and custom rule capabilities, AWS WAF enables businesses to implement security measures that align with their specific requirements. Its integration with other AWS services and real-time monitoring features further enhance an organization's ability to maintain a strong security posture, ensuring the availability and integrity of their web applications.

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Amazon Elastic File System (Amazon EFS)

71 reviews

Amazon Elastic File System (Amazon EFS) is a storage system that provides simple, scalable file storage for use with Amazon EC2 instances in the AWS Cloud with easy to use and offers a simple interface that allows to create and configure file systems quickly and easily.

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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

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