Amazon S3 provides scalable, secure, and cost-effective storage for all types of data. It allows real estate agents to store, retrieve, and share property listings, client information, and marketing materials with ease and security.

Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to create and publish interactive dashboards. It helps real estate agents visualize market trends, analyze property data, and gain insights to make informed decisions.

AWS Lambda allows you to run code without provisioning or managing servers. It can automate tasks such as data processing, file handling, and backend services, freeing up agents to focus more on their clients and sales.

Amazon RDS makes it easy to set up, operate, and scale a relational database in the cloud. It provides a reliable database solution for managing client records, transaction details, and other critical data.

Amazon DynamoDB is a fast and flexible NoSQL database service for any scale. It is ideal for managing large datasets in real-time, such as property listings and client interactions, ensuring quick and reliable access to information

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights in text. Real estate agents can use it to analyze client feedback, market trends, and other textual data to gain deeper insights.

Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. It allows agents to run ad-hoc queries on large datasets, gaining quick insights without the need for complex data infrastructure

Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency. It ensures that property images, videos, and websites load quickly and efficiently for a better user experience.

Amazon Rekognition provides image and video analysis powered by deep learning. It can be used to analyze property images, recognize and categorize features, and automate the organization of visual data