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AWS Database Services

The Database Services consists of fully managed and managed database services solutions in-memory caching services in the cloud.  Here you will find services that support your Relational databases, NoSQL or non-relational databases, as well as your Data Warehouse environment.

Find below the list of services in this category.

RDS (Relational Database Services)
       - Amazon Relational Database Service (RDS) makes it easy to setup, operate, and scale a relational database in the cloud.  It provides cost-effective and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups.  It frees you to focus on your applications so you can give them the fast performance, high availability, security, and compatibility they need.

DynamoDB
       - Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale.  It is a fully managed cloud database and supports both document and key-value store models.  Its flexible data model, reliable performance, and automatic scaling of throughput capacity makes it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications.
       - Note that this is a non-relational database.

ElastiCache
       - Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud.  The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases.
       - ElastiCache supports 2 open-source in-memory engines:  Redis and Memcached

RedShift
       - Amazon RedShift is a fast, fully managed data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing Business Intelligence (BI) tools.  It allows you to run complex analytic queries against petabytes of unstructured data, using sophisticated query optimization, columnar storage on high-performance local disks, and massively parallel query execution.  Most results come back in seconds.
       - This is AWS' Data Warehousing solution.

Neptune
       - Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets.  The core of Neptune is a purpose-built, high-performance graph database engine that is optimized for storing billions of relationships and querying the graph with milliseconds latency.  Neptune supports the popular graph query languages Apache TinkerPop, Gremlin, and W3C's SPARQL, allowing you to build queries that efficiently navigate highly connected databases.  Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.  

DocumentDB
       - Amazon DocumentDB (with MongoDB compatibility) is a fast, reliable, and fully managed database service that makes it easy for you to set up, operate, and scale MongoDB-compatible databases.   

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