“Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more. A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift. These solutions help them gain insights to grow sales, reduce costs, and optimize their businesses.
To help you focus on creating value from data instead of preparing data for analysis, we announced Amazon Aurora zero-ETL integration with Amazon Redshift at AWS re:Invent 2022 and in public preview for Amazon Aurora MySQL-Compatible Edition in June 2023.
Now generally available: Amazon Aurora MySQL zero-ETL integration with Amazon Redshift
Today, we announced the general availability of Amazon Aurora MySQL zero-ETL integration with Amazon Redshift. With this fully managed solution, you no longer need to build and maintain complex data pipelines in order to derive time-sensitive insights from your transactional data to inform critical business decisions.
This zero-ETL integration between Amazon Aurora and Amazon Redshift unlocks opportunities for you to run near real-time analytics and machine learning (ML) on petabytes of transactional data in Amazon Redshift. As this data gets written into Aurora, it will be available in Amazon Redshift within seconds.
It also enables you to run consolidated analytics from multiple Aurora MySQL database clusters in Amazon Redshift to derive holistic insights across many applications or partitions. Amazon Aurora MySQL zero-ETL integration with Amazon Redshift processes over 1 million transactions per minute (an equivalent of 17.5 million insert/update/delete row operations per minute) from multiple Aurora databases and makes them available in Amazon Redshift in less than 15 seconds (p50 latency lag).