Overview of Amazon Web Services
AWS Whitepaper


Amazon Aurora

Amazon Aurora is a MySQL and PostgreSQL compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora provides up to five times better performance than MySQL with the security, availability, and reliability of a commercial database at one tenth the cost.


  • High Performance: Amazon Aurora provides 5 times the throughput of standard MySQL or twice the throughput of standard PostgreSQL running on the same hardware. This consistent performance is on par with commercial databases, at one-tenth of the cost. On the largest Amazon Aurora instance, you can achieve up to 500,000 reads and 100,000 writes per second. You can further scale read operations using read replicas that have very low 10 ms latency.

  • Highly Secure: Amazon Aurora provides multiple levels of security for your database. These include network isolation using Amazon VPC, encryption at rest using keys you create and control through AWS Key Management Service (KMS), and encryption of data in transit using SSL. On an encrypted Amazon Aurora instance, data in the underlying storage is encrypted, as are the automated backups, snapshots, and replicas in the same cluster.

  • MySQL and PostgreSQL Compatible: The Amazon Aurora database engine is fully compatible with MySQL 5.6 using the InnoDB storage engine. This means the code, applications, drivers, and tools you already use with your MySQL databases can be used with Amazon Aurora with little or no change. This also allows for easy migration of existing MySQL databases using standard MySQL import and export tools or using MySQL binlog replication. We're now previewing PostgreSQL compatible Amazon Aurora database instances, supporting the SQL dialect and functionality of PostgreSQL 9.6.

  • Highly Scalable: You can scale your Amazon Aurora database from an instance with 2 vCPUs and 4 GiB of memory up to an instance with 32 vCPUs and 244 GiB of memory. You can also add up to 15 low latency read replicas across three Availability Zones to further scale read capacity. Amazon Aurora automatically grows storage as needed, from 10 GB up to 64 TB.

  • High Availability and Durability: Amazon Aurora is designed to offer greater than 99.99% availability. Recovery from physical storage failures is transparent, and instance failover typically requires less than 30 seconds. Amazon Aurora's storage is fault-tolerant and self-healing. Six copies of your data are replicated across three Availability Zones and continuously backed up to Amazon S3.

  • Fully Managed: Amazon Aurora is a fully managed database service. You no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, monitoring, or backups. Amazon Aurora automatically and continuously monitors and backs up your database to S3, enabling granular point-in-time recovery.

Amazon RDS

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six familiar database engines to choose from, including Amazon AuroraPostgreSQL, MySQLMariaDBOracle, and Microsoft SQL Server.


  • Fast and Easy to Administer: Amazon RDS makes it easy to go from project conception to deployment. Use the AWS Management Console, the AWS RDS Command Line Interface, or simple API calls to access the capabilities of a production-ready relational database in minutes. No need for infrastructure provisioning, and no need for installing and maintaining database software.

  • Highly Scalable: You can scale your database's compute and storage resources with only a few mouse clicks or an API call, often with no downtime. Many Amazon RDS engine types allow you to launch one or more Read Replicas to offload read traffic from your primary database instance.

  • Available and Durable: Amazon RDS runs on the same highly reliable infrastructure used by other Amazon Web Services. When you provision a Multi-AZ DB instance, Amazon RDS synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Amazon RDS has many other features that enhance reliability for critical production databases, including automated backups, database snapshots, and automatic host replacement.

  • Secure: Amazon RDS makes it easy to control network access to your database. Amazon RDS also lets you run your database instances in Amazon VPC, which enables you to isolate your database instances and to connect to your existing IT infrastructure through an industry-standard encrypted IPsec VPN. Many Amazon RDS engine types offer encryption at rest and encryption in transit.

  • Inexpensive: You pay very low rates and only for the resources you actually consume. In addition, you benefit from the option of On-Demand pricing with no up-front or long-term commitments, or even lower hourly rates using our Reserved Instance pricing.

Amazon 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 database and supports both document and key-value data models. Its flexible data model and reliable performance make it a great fit for mobile, web, gaming, ad-tech, Internet of Things (IoT), and many other applications.


  • Fast, Consistent Performance: Amazon DynamoDB is designed to deliver consistent, fast performance at any scale for all applications. Average service-side latencies are typically single-digit milliseconds. As your data volumes grow and application performance demands increase, Amazon DynamoDB uses automatic partitioning and SSD technologies to meet your throughput requirements and deliver low latencies at any scale.

  • Highly Scalable: When you create a table, simply specify how much request capacity you require. If your throughput requirements change, simply update your table's request capacity using the AWS Management Console or the Amazon DynamoDB APIs. Amazon DynamoDB manages all the scaling behind the scenes, and you are still able to achieve your prior throughput levels while scaling is underway.

  • Fully Managed: Amazon DynamoDB is a fully managed cloud NoSQL database service. You simply create a database table, set your throughput, and let the service handle the rest. You no longer need to worry about database management tasks such as hardware or software provisioning, setup and configuration, software patching, operating a reliable, distributed database cluster, or partitioning data over multiple instances as you scale.

  • Event-Driven Programming: Amazon DynamoDB integrates with AWS Lambda to provide Triggers that enable you to architect applications that automatically react to data changes.

  • Fine-grained Access Control: Amazon DynamoDB integrates with AWS IAM for fine-grained access control for users within your organization. You can assign unique security credentials to each user and control each user's access to services and resources.

  • Flexible: Amazon DynamoDB supports both document and key-value data structures, giving you the flexibility to design the best architecture that is optimal for your application.

Amazon ElastiCache

Amazon ElastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases.

Amazon ElastiCache supports two open-source in-memory caching engines:

  • Redis - a fast, open source, in-memory data store and cache. Amazon ElastiCache for Redis is a Redis-compatible in-memory service that delivers the ease-of-use and power of Redis along with the availability, reliability, and performance suitable for the most demanding applications. Both single-node and up to 15-shard clusters are available, enabling scalability to up to 3.55 TiB of in-memory data. ElastiCache for Redis is fully managed, scalable, and secure. This makes it an ideal candidate to power high-performance use cases such as web, mobile apps, gaming, ad-tech, and IoT.

  • Memcached - a widely adopted memory object caching system. ElastiCache for Memcached is protocol compliant with Memcached, so popular tools that you use today with existing Memcached environments will work seamlessly with the service.