Amazon Web Services is a cloud computing software that offers on-demand computing power, storage, and a broad set of services such as database management, networking, analytics, machine learning, and security. It provides infrastructure resources and platform tools that enable organizations to deploy, manage, and scale applications and workloads in the cloud. The software addresses challenges related to infrastructure scalability, data storage, cost management, disaster recovery, and application deployment by offering a pay-as-you-go model and a range of configurable resources suited for different business needs.
Amazon Web Services Pricing
Amazon Web Services software uses a pay-as-you-go pricing model where users are charged based on actual usage of compute power, storage, and other resources. The software also offers tiered pricing for certain services, volume discounts, and reserved instance options. There are no upfront costs, and users can access free usage tiers for select services within specified limits.
Overall experience with Amazon Web Services
It Manager
<50M USD, Manufacturing
FAVORABLE
“Security and Scalability Highlighted Amid Console Fragmentation and Overlapping Services”
4.0Feb 25, 2026
Reliable cloud platform with broad services and strong uptime. It's easy to scale, has good documentation, and solid security options. Main pain points are pricing complexity and sometimes slow/fragmented support.
Data Scientist
30B + USD, Insurance (except health)
CRITICAL
“AWS Bedrock and KB Simplify RAG Implementation and Model Hosting Overhead”
3.0Feb 27, 2026
AWS provides a robust and scalable Gen AI infrastructure through services like Bedrock and KB. Managed access to foundation models removes the overhead of model hosting and reduces the amount of boiler plate code. KB enables the easy RAG implementation with minimal setup.
Badges
Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
Amazon Web Services (AWS), established in 2006, is focused on providing essential infrastructure services to businesses globally in the form of cloud computing. The key advantage offered through cloud computing, particularly via AWS, is its capacity to shift fixed infrastructure expenses into flexible costs. Businesses have been able to forgo extensive planning and procurement of servers and other Information Technology (IT) resources, owing to AWS. AWS seeks to provide businesses with prompt and cost-effective access to resources using Amazon's expertise and economies of scale, as and when their business requires. Currently, AWS offers a robust, scalable, economic infrastructure platform on the cloud powering an extensive array of businesses worldwide. It operates across numerous industries with data center locations in various parts of the globe including U.S., Europe, Singapore, and Japan.
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Reviewer Insights for: Amazon Web Services
Performance of Amazon Web Services Across Market Features
Amazon Web Services Likes & Dislikes
Wide range of services (compute, storage, database, lambda) in one ecosystem scalability and performance with global regions/availability zones Strong security and compliance tooling (iam, encryption, logging) Mature automation/devops options
1. Multi-model access 2.Knowledge bases for Tag piplelines provides easy and fast implementation of RAG bots. All the chunking, vector embedding etc is taken care of. 3. Easy implementation of guardrails and security controls
AWS makes it effortless to scale applications based. In traffic, autoscaling elastic load balancers help maintain high availability without constant monitoring.
Pricing is complex and can be hard to predict and optimize Console UI and service naming feel fragmented Support quality/response time can vary, especially without premium plans Too many overlapping services make choice and migration harder
1. Limited fine tuning options on Bedrock (limited to some foundation models) 2. Knowledge Base retrieval quality and configurability - It lacks granular control, making it hard to customize for insurance specific bots 3. Pricing complexity and cost unpredictibility
Cost estimation can be confusing, especially with data transfer, reserved distance and multiple service dependencies.
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Generally, AWS engineers do not need access to real data to figure out how to install databases and applications. you can setup a process to ensure strong security measures are followed.
Few Recommendations:
1. Use sample or dummy data to set up and test the environment. This allows AWS engineers to configure and troubleshoot without needing access to sensitive information.
2. If real data must be used early in the process, consider data masking techniques to anonymize sensitive information.
3. Discuss your concerns with the AWS engineers and establish clear protocols for data access and security.
It is better to analyze from the problem perspective. Whether you need a Snowflake schema, star schema, or one big table, it needs to be analyzed based on the user requirements, data volume, query patterns, business asks, latency requirements, etc. Changing the database/platforms might not solve the issue if you need a sustainable solution.
Security and Scalability Highlighted Amid Console Fragmentation and Overlapping Services
4.0Feb 25, 2026
Reliable cloud platform with broad services and strong uptime. It's easy to scale, has good documentation, and solid security options. Main pain points are pricing complexity and sometimes slow/fragmented support.
IT ASSOCIATE
<50M USD
IT Services
Review Source
Navigating AWS Service Breadth and Pricing Presents Both Opportunities and Issues
5.0Mar 2, 2026
Our overall experience with Amazon Web Services has been extremely positive. As a growing product focused engineering team. AWS has given us the flexibility to scale. and reliability, we need to move fast without worrying about infrastructure bottlenecks. What has worked well is the breadth of services. the ecosystem maturity and ability to scale from MVP to production seamlessly. The only challenge was initially navigating the vast number of services and understanding the pricing
Data Analyst
<50M USD
IT Services
Review Source
Scalability and Security Are Main Drivers for Selecting AWS in Complex Projects
5.0Mar 31, 2026
AWS is a Powerful platform we use it when we are working on different projects especially the complex one, as this help in scalability and supports our growing workloads without much hassle.
It Associate
50M-1B USD
Travel and Hospitality
Review Source
AWS Facilitates Smooth Transitions from On-Premise to Cloud
4.0Jan 29, 2026
AWS has been a wonderful tool to work with to help 100+ internal teams transition from on-premise databases to the cloud. They have a great enterprise support staff with dedicated engineers and architects that has made the transition smooth.
Data Scientist
10B+ USD
Insurance (except health)
Review Source
AWS Bedrock and KB Simplify RAG Implementation and Model Hosting Overhead
3.0Feb 27, 2026
AWS provides a robust and scalable Gen AI infrastructure through services like Bedrock and KB. Managed access to foundation models removes the overhead of model hosting and reduces the amount of boiler plate code. KB enables the easy RAG implementation with minimal setup.
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Showing data for 51 ratings and reviews for Generative AI Infrastructure Providers (Transitioning to Cloud AI Infrastructure) market. View all 4673 ratings and reviews across markets for a complete picture.