ZeitDB is a lightweight time-series database built to make handling fast, timestamped data simple and practical. It uses an easy to understand LSM-tree design with a write-ahead log, in-memory buffering, and SSTable flushes, and adds tagging so data can be filtered naturally. Retention rules help keep storage under control, while a small alerting component highlights unusual patterns or threshold breaches. Overall, ZeitDB aims to offer a clear, approachable system that handles real-time workloads without the complexity of larger TSDBs. This research paper can be useful as a single node to compare different timeseries databases.
Kumar et al. (Tue,) studied this question.