Introduction to the InfluxData platform
The InfluxData 1.x platform includes the following open source components (TICK stack):
- Telegraf: collect data
- InfluxDB: store data
- Chronograf: visualize data
- Kapacitor: process data and alerts
InfluxData 1.x also includes the following commercial offerings:
The InfluxDB 2.0 platform consolidates components from the InfluxData 1.x platform into a single packaged solution, with added features and flexibility:
- InfluxDB OSS 2.0: open source platform solution in a single binary
- InfluxDB Cloud (commercial offering): hosted cloud solution
InfluxDB Enterprise 2.0 is in development.
InfluxData 1.x TICK stack
Telegraf is a data collection agent that captures data from a growing list of sources and translates it into InfluxDB line protocol format for storage in InfluxDB. Telegraf’s extensible architecture makes it easy to create plugins that both pull data (input plugins) and push data (output plugins) to and from different sources and endpoints.
InfluxDB stores data for any use case involving large amounts of timestamped data, including DevOps monitoring, log data, application metrics, IoT sensor data, and real-time analytics. It provides functionality that allows you to conserve space on your machine by keeping data for a defined length of time, then automatically downsampling or expiring and deleting unneeded data from the system.
Chronograf is the user interface for the TICK stack that provides customizable dashboards, data visualizations, and data exploration. It also allows you to view and manage Kapacitor tasks.
Kapacitor is a data processing framework that enables you to process and act on data as it is written to InfluxDB. This includes detecting anomalies, creating alerts based on user-defined logic, and running ETL jobs.
InfluxData 1.x Enterprise versions
InfluxDB Enterprise and Kapacitor Enterprise provide clustering, access control, and incremental backup functionality for production infrastructures at scale. You’ll also receive direct support from the InfluxData support team.
InfluxDB Enterprise and Kapacitor Enterprise are compatible with open source versions of Telegraf and Chronograf.
InfluxDB Enterprise provides functionality necessary to run a high-availability (HA) InfluxDB cluster, providing clustering, horizontal scale out, and advanced access controls, including:
- Hinted handoff
- Fine-grained authorization
- Cluster profiling
- Incremental backups
Data is written across nodes using an eventually consistent write model. All writes are added to the Hinted Handoff Queue (HHQ), then written to other nodes in the cluster.
InfluxDB Enterprise’s Anti-Entropy (AE) process ensures data shards in the cluster are in sync. When “entropy” (out-of-sync data) is detected, AE will repair the affected shards, syncing the missing data.
In InfluxDB Enterprise, fine-grained authorization can be used to control access at the measurement or series levels rather than just the database level.
Enterprise meta nodes expose the
/debug/pprof API endpoint that allows you to
profile and potentially diagnose performance bottlenecks in your cluster.
InfluxDB Enterprise allows for incremental backups that write only newly added data to existing backup files rather than backing up all data in a new backup.
Kapacitor Enterprise provides functionality necessary to run a high-availability Kapacitor cluster, including:
- Kapacitor cluster management
- Alert deduplication
- Secure communication
Kapacitor cluster management
Kapacitor Enterprise is packaged with
kapactorctl, a command line client for creating
and managing Kapacitor clusters.
As alerts are triggered in a multi-node Kapacitor cluster, Kapacitor Enterprise deduplicates alert data to prevent duplicate alert notifications from being sent.
Data is passed between InfluxDB and Kapacitor via subscriptions. Kapacitor Enterprise includes configuration options that let you encrypt communication between your Kapacitor Enterprise and InfluxDB Enterprise clusters.
To get started with the InfluxData 1.x platform, see
Support and feedback
Thank you for being part of our community! We welcome and encourage your feedback and bug reports for and this documentation. To find support, the following resources are available:
InfluxDB Cloud customers can contact InfluxData Support.