NewSQL database systems are failing to guarantee consistency, and I blame Spanner
(Spanner vs. Calvin, Part 2) [TL;DR I wrote a post in 2017 that discussed Spanner vs. Calvin that focused on performance differences. This post discusses another very important distinction between the two systems: the subtle differences in consistency guarantees between Spanner (and Spanner-derivative systems) vs. Calvin.] The CAP theorem famously states that it is impossible to guarantee both con
Apache Arrow vs. Parquet and ORC: Do we really need a third Apache project for columnar data representation?
Apache Parquet and Apache ORC have become a popular file formats for storing data in the Hadoop ecosystem. Their primary value proposition revolves around their “columnar data representation format”. To quickly explain what this means: many people model their data in a set of two dimensional tables where each row corresponds to an entity, and each column an attribute about that entity. However, st
Announcing release of HadoopDB (longer version)
If you have a short attention span see the shorter blog post. If you have a large attention span, see the complete 12-page paper. There are two undeniable trends in analytical data management. First, the amount of data that needs to be stored and processed is exploding. This is partly due to the increased automation with which data can be produced (more business processes are becoming digitized),
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Introducing SLOG: Cheating the low-latency vs. strict serializability tradeoff
