Composable data management at Meta

What this post added

This post details Meta's shift towards a composable data management architecture to address fragmentation and improve engineering efficiency. It introduces the concept of decomposing data systems into reusable components like language frontends, intermediate representations, query optimizers, execution engines, and runtimes. The post highlights the open-source Velox execution engine as a key enabler, demonstrating significant performance improvements (3-10x) in integrations with systems like Presto and Spark. Velox leverages columnar and vectorized execution, compressed execution, lazy materialization, and adaptivity. The post also emphasizes the importance of open standards like Apache Arrow for interoperability and discusses the ongoing work in system-wide integration.