InfluxDB vs SQLite: What are the differences?
Developers describe InfluxDB as "An open-source distributed time series database with no external dependencies". InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.. On the other hand, SQLite is detailed as "A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine". SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
InfluxDB and SQLite can be categorized as "Databases" tools.
"Time-series data analysis" is the top reason why over 36 developers like InfluxDB, while over 151 developers mention "Lightweight" as the leading cause for choosing SQLite.
InfluxDB is an open source tool with 16.7K GitHub stars and 2.38K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.
Intuit, Coderus, and Infoshare are some of the popular companies that use SQLite, whereas InfluxDB is used by SimpleCrypto, Impossible Software, and capscale. SQLite has a broader approval, being mentioned in 314 company stacks & 477 developers stacks; compared to InfluxDB, which is listed in 119 company stacks and 39 developer stacks.
What is InfluxDB?
What is SQLite?
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SQLite is a tricky beast. It's great if you're working single-threaded, but a Terrible Idea if you've got more than one concurrent connection. You use it because it's easy to setup, light, and portable (it's just a file).
In Paperless, we've built a self-hosted web application, so it makes sense to standardise on something small & light, and as we don't have to worry about multiple connections (it's just you using the app), it's a perfect fit.
For users wanting to scale Paperless up to a multi-user environment though, we do provide the hooks to switch to PostgreSQL .
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.
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.