What is InfluxDB?
Who uses InfluxDB?
Why developers like InfluxDB?
Here are some stack decisions, common use cases and reviews by members of with InfluxDB in their tech stack.
Here are some stack decisions, common use cases and reviews by companies and developers who chose InfluxDB in their tech stack.
We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services. InfluxDB
InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes. InfluxDB
Server and application metrics are all stored in InfluxDB for capacity planning and anomaly detection. InfluxDB
To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable InfluxDB
We use InfluxDB because we need to store time series data for scan history. It's very simple to use and it's perfect to store value on event (on datetime).
- Time-Centric Functions
- Scalable Metrics
- Native HTTP API
- Powerful Query Language
- Built-in Explorer