Time-Series Databases
A list of databases and data stores specialized for Time-Series Databases.
| No | Name | Stars | Description | Trend | License | Language | Official Site |
|---|---|---|---|---|---|---|---|
| 1 | InfluxDB | - | Most popular time-series database. Specialized for storing and analyzing IoT sensor data, application metrics, and system monitoring data. Achieves high compression rates and fast queries. | De facto standard in IoT and DevOps monitoring fields. Significant performance improvement with Apache Arrow-based renewal in InfluxDB 3.0. Strong position in Grafana and Telegraf ecosystem. | MIT/Commercial | InfluxQL/Flux | Official |
| 2 | OpenTSDB | - | HBase-based distributed time-series database. Specialized for large-scale data collection and long-term storage. Builds big data analytics infrastructure through Hadoop ecosystem integration. | Continued use as legacy system in large enterprises. New implementations declining but important for stable operation of existing systems. Certain demand for time-series data management in Hadoop environments. | LGPL | Various | Official |
| 3 | Prometheus | - | Open source monitoring and alerting system. Specialized for time-series data collection and querying. Standard monitoring solution in Kubernetes ecosystem. | De facto standard for cloud-native monitoring. Established reliability as CNCF graduated project. Building observability platforms through integration with OpenTelemetry and Jaeger. | Apache 2.0 | PromQL | Official |
| 4 | QuestDB | - | High-performance time-series database. Implemented in C++ achieving ultra-fast ingestion and low-latency queries. Easy tool integration with PostgreSQL wire protocol support. | Rising attention for performance-critical use cases. Increasing adoption in financial trading and real-time analytics. Provides commercial-level performance while being open source. | Apache 2.0 | SQL | Official |
| 5 | TimescaleDB | - | PostgreSQL-based time-series database. Balances rich SQL functionality with time-series optimization. Enables direct utilization of existing PostgreSQL skills and tools. | Expanding enterprise adoption due to PostgreSQL compatibility. Differentiated by integrated analysis of relational and time-series data. Addresses complex analytical requirements in finance and IoT fields. | Apache 2.0/Commercial | SQL | Official |