Time Series Tools & Datasets for Python Data Engineering

A scalable, distributed time series database built on HBase. OpenTSDB stores, indexes, and serves metrics collected from various sources at massive scale, making it ideal for monitoring infrastructure and IoT data collection.

A relational column-oriented database designed for real-time analytics on time series and event data. QuestDB uses SQL with time-series extensions and delivers exceptional ingestion performance, ideal for financial data, IoT, and application metrics.

A time-series SQL database built as a PostgreSQL extension, combining the reliability of PostgreSQL with optimizations for time-series workloads. TimescaleDB offers automatic partitioning, compression, and continuous aggregates for efficient time-series analysis.