TimescaleDB
TimescaleDB: Open-Source Time-Series Database
An open-source time-series database optimized for fast ingest and complex queries, built on top of PostgreSQL for scalability and SQL query capabilities.
What is TimescaleDB?
TimescaleDB is an open-source, relational database optimized for time-series data. It is engineered up from PostgreSQL, providing automatic partitioning across time and space (partitioning key), yet retains the standard PostgreSQL interface.
TimescaleDB scales out complex queries by automatically partitioning data into discrete chunks, then executing queries in parallel across many chunks. This parallel processing provides performance improvements of orders of magnitude over vanilla PostgreSQL when analyzing time-series data.
Key features and capabilities:
- Optimized for time-series data with fast inserts and complex queries
- Native data compression leading to reduced storage
- Parallelized queries and aggregations across time & space
- High availability through streaming replication
- Native PostgreSQL interface and full SQL support
- OLTP and OLAP performance within a single database
- Data retention policies to automatically roll up and expire old data
TimescaleDB is well-suited for IoT, DevOps, observability, and industrial data applications. It runs on Linux and is compatible with Postgres-compatible tools.
TimescaleDB Features
Features
- Designed for time-series data
- Scales to handle high volumes of time-series data
- SQL compliant and works with existing PostgreSQL tools
- Advanced compression algorithms
- Support for complex queries across large datasets
- Data partitioning for optimized query performance
- Native support for time-series analytics functions
- High availability with streaming replication and automated failover
Pricing
- Open Source
Pros
Cons
Official Links
Reviews & Ratings
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