Review Summary
Users appreciate Amazon Web Services for its scalability, extensive service offerings, and reliable performance with ...
Overview
Product Information on Amazon Web Services
Updated 13th October 2025
What is Amazon Web Services?
Amazon Web Services Pricing
Overall experience with Amazon Web Services
Data Analyst
50M - 250M USD, Services (non-Government)FAVORABLE
“Scalability, Reliability, and Service Variety Stand Out in AWS Experience”
Overall my experience with AWS has been positive, the platform is highly reliable, scalable and offers a wide range of services that make it easy to build and manage solutions efficiently, what has worked well is the flexibility, strong performance and the ability to quickly deploy and scale resources as needed, the interface and documentation are also helpful in navigating the services, overall AWS has been a dependable and valuable platform for my needs.
Data Scientist
30B + USD, Insurance (except health)CRITICAL
“AWS Bedrock and KB Simplify RAG Implementation and Model Hosting Overhead”
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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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.
Strategic Cloud Platform Services
About Company
Company Description
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.
Company Details
Company type
Public
Year Founded
2006
Head office location
Seattle, United States
Number of employees
10001+
Website
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Project Management Manager
In the process of migrating Legacy Applications to an AWS cloud instance. Our Legacy system contains sensitive private data of users. AWS engineers are saying they need access to our data early and they have not built out the environment yet. I found online that access to the data is needed once in the TEST and VALIDATION phase of the project. Does the AWS cloud engineer need access to my real data to figure out how to install databases and applications even if they haven't built out the future environment yet?IT Manager
See Full DiscussionGenerally, 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.
Data and Analytics Manager
Currently, in my organization, we have BI products built on top of a data warehouse implemented using PostgreSQL, following a snowflake schema architecture (fact and dimension tables). This structure has become extremely complex and hard to maintain. Updates are very costly, and I’m heavily dependent on a single person to keep it running. I’m considering moving to a cloud-based environment, such as AWS Redshift or Google BigQuery. Based on your experience, would migrating to one of these platforms help me move away from this complex snowflake architecture? Also, between the two solutions (AWS Redshift and Google BigQuery), which one would you recommend and why?Principal Software Engineer, Data Engineering
See Full DiscussionIt 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.
Amazon Web Services Reviews and Ratings
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- Data Analyst50M-1B USDServices (non-Government)Review Source
Scalability, Reliability, and Service Variety Stand Out in AWS Experience
Overall my experience with AWS has been positive, the platform is highly reliable, scalable and offers a wide range of services that make it easy to build and manage solutions efficiently, what has worked well is the flexibility, strong performance and the ability to quickly deploy and scale resources as needed, the interface and documentation are also helpful in navigating the services, overall AWS has been a dependable and valuable platform for my needs. - Engineer50M-1B USDSoftwareReview Source
Scaling and Automation Are Smooth With AWS, While Pricing Remains Hard to Predict
Honestly, my overall experience with AWS has been pretty great. It gives you a huge range of services and is super reliable when it comes to building and scaling apps, the performance and availability are solid - especially when you're running long processes that just need to keep going without any hiccups. That said, when you're just starting out, it can feel a little overwhelming. There's just so much to take in. And pricing? If you’re not keeping a close eye on it, things can get confusing real fast. But once you get the hang of it, it's honestly hard to imagine going back! - Software Developer<50M USDSoftwareReview Source
reliable scalble platform with powerfull features but complex pricing
My overall experience has been very positive, especially with the platform's reliability and ability to scale as our needs grow, most services work seamlessly together which makes operations smoother, that said pricing can be a bit hard to predict at times and toll-like features have a learning curve - Qa Engineer<50M USDReal EstateReview Source
Comprehensive testing made easier, yet pricing complexity poses challenges
My experience with Amazon Web Services has been a highly rewarding and challenging journey. In the fast pacing development environments it provided exposure to large scale cloud technologies. One of the key aspects working with AWS based applications was understanding various AWS Services such as Amazon EC2, AWS Lambda, Amazon S3, Amazon Gateway etc. In my day-to-day activities, I created detailed test plans, test scenarios and test cases based on business requirements and functional specifications. I executed Functional,regression,Integration, smoke ,sanity and UAT to ensure the stability of the Application before deployment. I also identified documented, and tracked defects using tools like Jira and to collaborated with developers to resolve issues efficiently. - Manager of IT Services1B-10B USDTravel and HospitalityReview Source
Broad Cloud Service Range Enhances Efficiency but Complex Pricing Remains a Challenge
Services like S3, EC2, Lambda, RDS and CloudWatch work efficiently for hosting, monitoring and automation activities. Security and compliance are also strong which falls under our as well as most of the organizations GDPR rules especially IAM policies and encryption. It also has good documentation and community support over the internet.
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