Data quality isn't just a technical issue: It impacts an organization's compliance, operational efficiency, and customer satisfaction.
A discussion on Generative AI: Join industry experts as they talk about how GenAI has transformed the software development space.
You can run analytical queries on a relational database, at least for a little while. After all, if you know the queries in advance, you can optimize the schema (and indexes) for them – but what if you don’t, what if you need to run interactive, ad-hoc analytical queries on demand?
Then there is the issue of scalability. What if you need to run these queries on billions of rows? Apache Hadoop/Hive scales, but it’s not exactly interactive. However, when you plug a distributed, columnar storage engine into a relational database, and do away with indexes, you can run ad hoc, on-demand queries at any scale – and with standard SQL.
In this webinar, we’ll describe the architecture of MariaDB AX, an open source columnar database, use it to highlight the differences between relational and columnar databases, and explain why analytical queries perform better on columnar databases.
