As the cloud continues to drive down the cost of storage and compute, a new generation of applications have emerged, creating a new set of requirements for databases. These applications need databases to store terabytes to petabytes of new types of data, provide access to the data with millisecond latency, process millions of requests per second, and scale to support millions of users anywhere in the world. To support these requirements, you need both relational and non-relational databases that are purpose-built to handle the specific needs of your applications. AWS offers the broadest range of databases purpose-built for your specific application use cases.
Our fully managed database services include relational databases for transactional applications, non-relational databases for internet-scale applications, a data warehouse for analytics, an in-memory data store for caching and real-time workloads, and a graph database for building applications with highly connected data. If you are looking to migrate your existing databases to AWS, the AWS Database Migration Service makes it easy and cost effective to do so.
| If You Need | Consider Using | Product Type |
|---|---|---|
| A fully managed MySQL and PostgreSQL-compatible relational database with the performance and availability of enterprise databases at 1/10th the cost. | Amazon Aurora | Relational Database |
| A managed relational database in the cloud that you can launch in minutes with just a few clicks. | Amazon RDS | Relational Database |
| A serverless, NoSQL database that delivers consistent single-digit millisecond latency at any scale. | Amazon DynamoDB | NoSQL Database |
| A fast, fully managed, petabyte-scale data warehouse at 1/10th the cost of traditional solutions. | Amazon Redshift | Data Warehouse |
| To deploy, operate, and scale an in-memory data store based on
|
Amazon ElastiCache | In-Memory Data Store |
| A fast, reliable, fully managed graph database to store and manage highly connected data sets. | Amazon Neptune | Graph Database |
| Help
|
AWS Database Migration Service | Database Migration |
| Applications |
Consider Using |
|---|---|
| Transactional applications like ERP, CRM, and eCommerce to log transactions and store structured data. | Amazon Aurora, Amazon RDS |
|
|
Amazon DynamoDB |
| Analytic applications for operational reporting and querying Terabyte to Exabyte scale data. | Amazon Redshift |
| Real-time application use cases that require sub-millisecond latency like gaming leaderboards, chat/messaging, streaming, and IoT. | Amazon ElastiCache |
| Applications with use cases that require navigation of highly connected data like social news feeds, recommendations, and fraud detection. | Amazon Neptune |
Read Werner Vogels' blog on why developers are choosing purpose-built databases for well-architected applications.
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 and up to three times better performance than PostgreSQL with the security, availability, and reliability of a commercial database at one-tenth the cost. New for Aurora, is Aurora serverless, that simplifies administration, reduces costs, and delivers capacity on demand by automatically scaling up or scaling down without manual provisioning. Aurora also features multi-master to scale out both reads and writes by creating multiple read and write master nodes across availability zones for better performance and zero downtime. Both of these features are available in preview.
For more information visit the Amazon Aurora product page.
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 Aurora, Oracle, Microsoft SQL Server, PostgreSQL,
For more information visit the Amazon RDS product page.
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 and reliable performance make it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications. New for DynamoDB is global tables, which fully automate the replication of tables across AWS regions for a fully managed, multi-master, multi-region database. DynamoDB also adds support for on-demand and continuous backups for native data protection.
For more information visit the Amazon DynamoDB product page.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to analyze all your data using your existing business intelligence tools. You can start small for $0.25 per hour with no commitments and scale to petabytes for $1,000 per terabyte per year, less than a tenth the cost of traditional solutions.
For more information visit the Amazon Redshift product page.
Amazon ElastiCache 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 caches, instead of relying entirely on slower disk-based databases. ElastiCache for Redis offers fully managed Redis and ElastiCache for Memcached offers fully managed Memcached in the cloud.
For more information visit the Amazon ElastiCache product page.
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 Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Apache TinkerPop and W3C's RDF, and their associated query languages TinkerPop Gremlin and RDF SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.
For more information visit the Amazon Neptune product page.
AWS Database Migration Services (DMS) helps you migrate databases to AWS easily and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases. The service supports homogenous migrations such as Oracle to RDS for Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora or Microsoft SQL Server to RDS for MySQL.
For more information visit the AWS DMS product page.
