TimescaleDB boasts a feature set tailored for efficient management and query of time-series data, with the familiarity and robustness of PostgreSQL. Here's an introduction to some of its core features.
Offers the full capabilities of SQL, making it accessible for those already familiar with relational databases and for existing SQL-based applications.
Optimized specifically for time-series data, enabling high-performance insertions and complex queries with time-centric analytics.
Built to scale horizontally and vertically with ease, accommodating large datasets and complex querying without performance degradation.
Provides automated data retention policies and easier data management through features such as data retention and continuous aggregates.
Allows for real-time aggregate views on time-series data, boosting query efficiency and performance.
Supports native compression techniques, significantly reducing the storage footprint of time-series data.
Ensures data safety and high availability through robust replication features inherent from PostgreSQL.