InfluxDB
Time-series database for metrics, events, and real-time analytics
InfluxDB is a database built to collect, process, transform, and store event and time series data. It is designed for high ingest rates and low-latency queries to support monitoring, analytics, and real-time applications.
Key Features
- High-throughput ingestion for metrics and event streams
- Low-latency querying for recent and last-value time-series workloads
- SQL query engine with HTTP query API and FlightSQL support
- InfluxQL compatibility for InfluxDB 1.x query use cases
- Write API compatibility with InfluxDB 1.x and 2.x
- Parquet-based persistence and optimized storage for time-series data
- Plugin and trigger capabilities via an embedded Python VM
Use Cases
- Infrastructure and application monitoring with interactive dashboards
- IoT and sensor telemetry collection and analysis
- Real-time analytics for systems such as networks, industrial equipment, or trading signals
InfluxDB is commonly used as the storage and query layer for time-series observability and operational analytics stacks. It fits environments ranging from edge deployments to large-scale systems where near real-time insights are required.
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Docker
Python
RustSimilar Services
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