Amazon Web Services (AWS) offers a variety of data management tools and services to help organizations collect, store, process, analyze, and visualize data. Some of the key data management tools and services provided by AWS include:

1. Amazon S3 (Simple Storage Service): Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. It is commonly used for storing data for analytics, backup and recovery, archiving, and content distribution.
2. Amazon RDS (Relational Database Service): Amazon RDS is a managed relational database service that supports several database engines, including MySQL, PostgreSQL, MariaDB, Oracle, and Microsoft SQL Server. It automates administrative tasks such as hardware provisioning, database setup, patching, and backups, allowing users to focus on their applications.
3. Amazon Redshift: Amazon Redshift is a fully managed data warehouse service that makes it easy to analyze large datasets using SQL queries. It offers fast query performance by using columnar storage and parallel processing, making it suitable for analytics and business intelligence workloads.
4. Amazon DynamoDB: Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is suitable for applications that require low-latency data access and flexible data models.
5. Amazon Aurora: Amazon Aurora is a high-performance, fully managed relational database service that is compatible with MySQL and PostgreSQL. It offers performance and availability similar to commercial databases at a fraction of the cost.
6. AWS Glue: AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics. It automatically discovers and catalogs datasets, generates ETL code to transform data, and schedules and monitors ETL jobs.
7. Amazon EMR (Elastic MapReduce): Amazon EMR is a managed big data platform that simplifies the processing of large datasets using popular distributed computing frameworks such as Apache Hadoop, Apache Spark, and Presto. It automatically provisions and scales compute resources based on workload demand.
8. Amazon Kinesis: Amazon Kinesis is a platform for collecting, processing, and analyzing real-time streaming data at scale. It offers services such as Kinesis Data Streams for ingesting streaming data, Kinesis Data Firehose for loading data into data lakes and analytics services, and Kinesis Data Analytics for processing and analyzing streaming data with SQL.
9. Amazon Elasticsearch Service: Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud. It is commonly used for log and event data analysis, full-text search, and real-time application monitoring.

These are just a few examples of the data management tools and services available on AWS. Depending on specific requirements and use cases, organizations can choose the most appropriate AWS services to meet their needs.