PostGIS vs SQLite: What are the differences?
PostGIS: Open source spatial database. PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL; SQLite: 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.
PostGIS and SQLite are primarily classified as "Database" and "Databases" tools respectively.
"De facto GIS in SQL" is the primary reason why developers consider PostGIS over the competitors, whereas "Lightweight" was stated as the key factor in picking SQLite.
PostGIS is an open source tool with 636 GitHub stars and 242 GitHub forks. Here's a link to PostGIS's open source repository on GitHub.
According to the StackShare community, SQLite has a broader approval, being mentioned in 313 company stacks & 470 developers stacks; compared to PostGIS, which is listed in 53 company stacks and 14 developer stacks.
What is PostGIS?
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 .
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.
There's really no call for something heavier for this site. SQLite is simple, easy to use and quite reliable given its age.
PostGIS makes it easy (and fast) to do geographic queries, such as nearest-neighbor and bounding box queries.
Backend for weather forecast data that Geoserver queries to build updated weather maps