![]() ![]() To effectively replicate data from DynamoDB to Aurora, a reliable, scalable data replication (ETL) process needs to be built. Suppose that you want to slice and dice this data, project it in various ways, or use it for other transactional purposes using the power of SQL within stored procedures or functions. Now imagine needing to replicate this clickstream data into a relational database management system (RDBMS), such as Amazon Aurora. Amazon DynamoDB operates at this scale and can ingest high-velocity data. To put these together, imagine you have built a custom web analytics engine, with millions of web clicks registered within DynamoDB every second. 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. Its flexible data model and reliable performance make it a great fit for mobile, web, gaming, ad tech, IoT, and many other applications.Īmazon Aurora is a MySQL-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 DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. We find that customers running AWS workloads often use both Amazon DynamoDB and Amazon Aurora. ![]() Aravind Kodandaramaiah is a partner solutions architect with the AWS Partner Program ![]()
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