InfluxDB

Open-source time series database built for high-speed ingestion, storage, and real-time analytics of metrics and events. Optimized for high-volume, high-velocity data with native support for downsampling, compression, and streaming data into data lakes or warehouses.

InfluxDB ranks first among time series databases in adoption and is trusted by millions of developers. It differentiates from alternatives like Prometheus or TimescaleDB with SQL compatibility, line protocol for write throughput, and the Telegraf ecosystem with 300+ plugins for collecting metrics from infrastructure and applications. Deploy anywhere: cloud, on-premises, or at the edge.

Capabilities:

• High-speed ingest for millions of time series data points per second
• SQL and InfluxQL support for real-time analytics and aggregations
• Telegraf collector with 300+ input plugins for metrics from Docker, Kubernetes, AWS, and more
• Client libraries for Python, JavaScript, Go, C#, and Java
• Flexible deployment: self-hosted, cloud, or edge

Engineering teams use InfluxDB for infrastructure and application monitoring, IoT sensor data, DevOps metrics from CI/CD pipelines, and industrial workloads like energy and aerospace telemetry. It pairs with Grafana for dashboards and integrates into observability stacks for storing and querying Prometheus-style metrics at scale.