![]() ![]() You need to store documents, images or music files: You need Binary Large Object(BLOB) storage.This use case is best implemented using a relational database. ![]() You are building a data warehouse: You need a normalized (relational) view of your data.You need ad hoc query access: It is cumbersome to implement entity relationships across DynamoDB tables.If you use AWS as the primary cloud infrastructure for your cloud-native applications, DynamoDB is a good choice for workloads that fit the low-latency/ high-traffic use case. Composite key design lets it store related items close together on the same table.Schema flexibility lets DynamoDB store complex hierarchical data within a single item.There are two key differentiators in DynamoDB where it scales much better than traditional RDBMS: There’s no software to install, maintain, or operate. Your DBAs do not need to provision, patch, or manage servers. DynamoDB can automatically scale up/ down, and provides ACID transactions support. ![]() Availability and fault tolerance are built in with automatic backup and restore, security, and multiregion, multimaster distribution along with in-memory caching.ĭynamoDB is an ideal fit for internet-scale mobile, web, gaming, IoT, retail, media, and entertainment applications that require single-digit millisecond low latency data access and need to support petabytes of data. Like other NoSQL databases, DynamoDB is commonly used to handle big data – large volumes of unstructured or semi-structured data.Īmazon DynamoDB is a fully managed NoSQL database service that supports document and key-value data models. Amazon DynamoDBĭynamoDB is Amazon’s NoSQL database solution. Aurora is designed for fault tolerance, availability, and storage elasticity and can be set up with cross-region read replicas. Aurora databases can be set up quickly, and applications are configured to access Aurora databases using existing code, drivers, and programs with minimal changes thanks to its compatibility with MySQL and PostgreSQL. Aurora is MySQL and PostgreSQL compatible but has significantly higher performance stats compared to MySQL (up to 5 times) and PostgreSQL (up to 3 times). You also have multiple DB support – read replicas are available MySQL, MariaDB, PostgreSQL, Oracle, and SQL Server as well as Aurora.Īmazon Aurora is a relational database engine that can be run on RDS or as Aurora Serverless. You get multiple benefits: fault-tolerant availability, load balancing for high-volumes of read traffic, scalability for read-heavy database workloads. Any updates made to the source database are asynchronously copied to the read replicas.
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