Open Source Time Series Platform

InfluxData provides a Modern Time Series Platform, designed from the ground up to handle metrics and events. InfluxData’s products are based on an open source core. This open source core consists of the projects—TelegrafInfluxDBChronograf, and Kapacitor; collectively called the TICK stack.

Components of the TICK Stack

The Open Source Time Series Platform provides services and functionality to accumulate, analyze and act on time series data.

Note: Clustering is only available in InfluxEnterprise and InfluxCloud – Compare Editions.

This open source core, or TICK stack, consists of the projects—TelegrafInfluxDBChronograf, and Kapacitor.


Telegraf is a plugin-driven server agent for collecting and reporting metrics. Telegraf has plugins or integrations to source a variety of metrics directly from the system it’s running on, to pull metrics from third party APIs, or even to listen for metrics via a StatsD and Kafka consumer services. It also has output plugins to send metrics to a variety of other datastores, services, and message queues, including InfluxDB, Graphite, OpenTSDB, Datadog, Librato, Kafka, MQTT, NSQ, and many others.


InfluxDB is a Time Series Database built from the ground up to handle high write & query loads. InfluxDB is a custom high performance datastore written specifically for timestamped data, including DevOps monitoring, application metrics, IoT sensor data, & real-time analytics. Conserve space on your machine by configuring InfluxDB to keep data for a defined length of time, automatically expiring & deleting any unwanted data from the system. InfluxDB also offers a SQL-like query language for interacting with data.


Chronograf is the administrative user interface and visualization engine of the platform. It makes the monitoring and alerting for your infrastructure easy to setup and maintain. It is simple to use and includes templates and libraries to allow you to rapidly build dashboards with real-time visualizations of your data and to easily create alerting and automation rules.


Kapacitor is a native data processing engine. It can process both stream and batch data from InfluxDB. Kapacitor lets you plug in your own custom logic or user-defined functions to process alerts with dynamic thresholds, match metrics for patterns, compute statistical anomalies, and perform specific actions based on these alerts like dynamic load rebalancing. Kapacitor integrates with HipChat, OpsGenie, Alerta, Sensu, PagerDuty, Slack, and more.

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