InfluxDB
A scalable time series database optimized for real-time metrics, events, and analytics with fast query response.
What is InfluxDB?
InfluxDB is an open-source time series database designed to collect, process, transform, and store event and time series data. It is optimized for use cases requiring real-time data ingestion and fast query response times to support monitoring, dashboards, and automation solutions. The database features a diskless architecture with object storage support, an embedded Python VM for custom processing, and compatibility with multiple query APIs.
Developers and engineers building real-time monitoring, observability, and analytics systems, such as those for IoT sensor data, server performance, application metrics, network traffic, financial trading, and user behavior analytics.
Developers choose InfluxDB for its fast query performance, with sub-10ms responses for last-value queries, and its flexible architecture that supports both cloud object storage and local disks. It offers broad API compatibility with previous InfluxDB versions and a SQL query engine, making it suitable for integrating into existing time series workflows.
Overview
Scalable datastore for metrics, events, and real-time analytics
Use Cases
Best For
- Monitoring IoT sensor data in real-time with low-latency query requirements.
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