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What are the databases used in AWS?
Amazon Web Services (AWS) offers several databases, including:
1. Amazon Relational Database Service (RDS):
Amazon Relational Database Service (RDS) is a fully managed relational database service provided by AWS. It makes it easy to set up, operate, and scale a relational database in the cloud. RDS supports multiple database engines including Amazon Aurora, MySQL, MariaDB, Microsoft SQL Server, Oracle, and PostgreSQL.
With RDS, you can quickly deploy a new database instance, scale the compute and storage resources of an existing instance, and monitor and manage database performance. RDS also automates database management tasks such as backups, patching, and monitoring, freeing up time for you to focus on other tasks.
2. Amazon DynamoDB:
Amazon DynamoDB is a fast and flexible NoSQL database service provided by AWS. It’s a fully managed, scalable, and highly available database that supports both document and key-value data models.
DynamoDB is designed for applications that require single-digit millisecond response times and support for internet-scale workloads. It offers built-in security, backup and restore, and in-memory caching options to enhance the performance of your applications. With DynamoDB, you can easily store and retrieve any amount of data, and serve any level of request traffic.
DynamoDB integrates with other AWS services, making it easy to build complete, end-to-end applications in the cloud. You can use DynamoDB in a variety of applications, including mobile, gaming, ad tech, and the Internet of Things (IoT).
3. Amazon ElasticCache:
Amazon ElasticCache is a fully managed, in-memory data store and cache service provided by AWS. It makes it easy to deploy, operate, and scale an in-memory cache in the cloud.
ElasticCache supports two popular in-memory caching engines: Memcached and Redis. By using an in-memory cache, you can offload read traffic from your database, reducing the load on your database and improving the performance and scalability of your applications.
With ElasticCache, you can quickly deploy a cache node, scale the cache size and throughput as needed, and monitor and manage cache performance. ElasticCache also integrates with other AWS services, allowing you to build complete, end-to-end applications in the cloud.
4. Amazon DocumentDB (with MongoDB compatibility):
Amazon DocumentDB (with MongoDB compatibility) is a fully managed document-oriented database service provided by AWS. It provides fast, predictable, and scalable performance, making it suitable for applications that require a flexible and scalable NoSQL database.
DocumentDB is designed to be highly compatible with MongoDB, a popular NoSQL database. This compatibility enables you to use your existing MongoDB applications and tools with DocumentDB, without any code changes. You can easily scale out your database by adding capacity and performance, and monitor and manage database performance with ease.
With DocumentDB, you can store and retrieve any amount of data, and serve any level of request traffic. It offers built-in security, backup and restore, and monitoring options to enhance the reliability and performance of your applications. DocumentDB integrates with other AWS services, allowing you to build complete, end-to-end applications in the cloud.
5. Amazon Neptune:
Amazon Neptune is a fast, reliable, and fully managed graph database service provided by AWS. It makes it easy to build and run applications that work with highly connected datasets, such as social networks, recommendation engines, and fraud detection systems.
Neptune supports popular graph models, including Property Graph and W3C’s RDF, and open-source graph APIs such as Apache TinkerPop Gremlin and SPARQL. This allows you to easily build and evolve your graph applications over time.
With Neptune, you can quickly create and manage a graph database, scale the size and throughput of your database as needed, and monitor and manage database performance. Neptune also integrates with other AWS services, allowing you to build complete, end-to-end applications in the cloud. Whether you are building new applications or migrating existing ones, Neptune makes it easy to harness the power of graph databases in the cloud.
6. Amazon Timestream:
Amazon Timestream is a fully managed, scalable time-series database service provided by AWS. It makes it easy to collect, store, and analyze time-series data for IoT, operational technology, and applications.
Timestream provides fast, flexible, and cost-effective data analytics and machine learning, enabling you to build, run, and scale time-series analytics applications quickly and easily. It supports time-series data at any scale, with low latency and high throughput, and provides built-in security and encryption options.
With Timestream, you can easily store, manage, and analyze time-series data with SQL and other data analysis tools. You can also integrate Timestream with other AWS services, such as Amazon QuickSight, Amazon SageMaker, and Amazon EventBridge, to build complete, end-to-end solutions for your time-series data. Whether you’re building new applications or migrating existing ones, Timestream makes it easy to harness the power of time-series data in the cloud.
7. Amazon Keyspaces (for Apache Cassandra):
Amazon Keyspaces (for Apache Cassandra) is a fully managed, scalable, and highly available Apache Cassandra compatible database service provided by AWS. It makes it easy to set up, operate, and scale a Cassandra database in the cloud.
Keyspaces provides a fully managed Cassandra-compatible database service, allowing you to use your existing Cassandra applications and tools with no code changes. It offers fast and predictable performance, with low latency and high throughput, and provides built-in security and encryption options.
With Keyspaces, you can easily store and retrieve any amount of data, and serve any level of request traffic. You can also monitor and manage database performance, scale the compute and storage resources of your database as needed, and integrate Keyspaces with other AWS services to build complete, end-to-end solutions for your data. Whether you’re building new applications or migrating existing ones, Keyspaces makes it easy to harness the power of Apache Cassandra in the cloud.
These databases can be used for a variety of applications, such as data warehousing, NoSQL databases, caching, and more.