Time Series Databases
Time Series Databases are databases specifically designed to store, retrieve, and analyze time-stamped data. They are optimized for handling data points that are indexed by time, allowing for efficient querying and processing of time-ordered sequences of data. Time Series Databases are commonly used in applications that involve tracking changes over time, such as financial markets, IoT devices, sensor data, and log information. These databases are adept at handling large volumes of time-series data and are equipped with specialized features to support time-based queries and analysis.
External Links
- [forum.timescale.com] Timescale Community Forum - A global community of developers building database applications using time-series data.
- [prometheus.io] Prometheus - Monitoring system time series database
- [questdb.io] QuestDB | Peak time-series performance database