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.

We build queries in PHP with DSQL that work with SQLite. We also have SQLite data controller, so that you can build SQLite-based models.

Used during the "build process" of Coolfront Mobile's Flat rate search engine database. Flat rate data that resides in Salesforce is transformed using SQLite into a format that is usable for our mobile Flat rate search engine (AKA: Charlie).

RDBTools is a self-hosted application, and it is important that the installation process is simple. With SQLite, we create a new database file for every analysis. Once the analysis is done, the SQLite file can be thrown away easily.

All the dynamic data (i.e.: jobs) is stored in a simple SQLite database.

Все динамические данные (вакансии) хранятся в простой SQLite БД.

To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable

There's really no call for something heavier for this site. SQLite is simple, easy to use and quite reliable given its age.

InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes.

Server and application metrics are all stored in InfluxDB for capacity planning and anomaly detection.

All our metrics go through InfluxDB, both applicative and system