2017-Writing a Time Series Database from Scratch: While the current storage has served us well, I propose a newly designed storage subsystem that corrects for shortcomings of the existing solution and is equipped to handle the next order of scale.
2017-Design of a Cost Efficient Time Series Store for Big Data: This post is based on experience of running Druid at scale at Metamarkets and theoretical research, but the described design has not yet implemented and tested in production.
2018-TimescaleDB vs. InfluxDB: purpose built differently for time-series data: An in-depth look into how two leading time-series databases stack up in terms of data model, query language, reliability, performance, ecosystem, operational management, and company/community support.
2019-Building a distributed time-series database on PostgreSQL: TimescaleDB, a time-series database on PostgreSQL, has been production-ready for over two years, with millions of downloads and production deployments worldwide. Today, for the first time, we are publicly sharing our design, plans, and benchmarks for the distributed version of TimescaleDB.