At intermix.io, we use Amazon Redshift as part of our stack. Amazon Redshift is an OLAP database, and a valuable tool for data teams due to its low cost and speed for analytical queries. We have a particular use case though. We’re using Amazon Redshift in an OLTP scenario, i.e. we’ve built an analytical application on top of Redshift.
The challenge of using Redshift as an OLTP is that queries can lack the low-latency that would exist on a traditional RDBMS and transactional queries. Also, there are features of a traditional RDBMS that would often be useful when querying Redshift (e.g. indices).
In this post we detail a method of using Amazon Redshift as an OLTP. We will tell the story of how we off-load OLTP workloads from Amazon Redshift to Amazon RDS. We were able to do this without writing any complex ETL or changing our data processing strategy.
How We Use
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