tracks - parent table containing common details of all events.spin_result - details for events triggered by automatic or manual player spin action. We used the data from the following three tables: The mobile application contains multiple games - both free and paid - that mimic the casino slot machines. On the other hand, Snowflake has emerged as a modern data warehouse solution with features such as ease of access, instant scalability, as well as powerful analytics and security.įor this comparison, we used a data set that consists of approximately 20 million event records, triggered directly or indirectly by the users of a mobile casino game. These platforms provide mature, intuitive management consoles and a rich set of programmatic interfaces. As they both utilize columnar storage, they offer improved performance over traditional RDBMS. BackgroundĪWS Redshift and Google BigQuery are market leaders for cloud-based data warehouse solutions available today. In this post, we will go into the reasoning behind choosing AWS Redshift over other popular data warehousing solutions such as Google BigQuery and Snowflake. Redshift vs BigQuery, Redshift vs Snowflake, etc. When it comes to choosing a data warehouse for the open-source analytics stack, it is very common to pit data warehouses against each other. In our previous blog post, we described our experience setting up an Open-Source Analytics Stack using RudderStack, Apache SuperSet, and Redshift.
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