







PostGIS is open source extension onf PostgreSQL object-relational database system that allows GIS objects to be stored and allows querying for information and location services. The aim of this book is to help you master the functionalities offered by PostGIS- from data creation, analysis and output, to ETL and live edits. The book begins with an overview of the key concepts related to spatial database systems and how it applies to Spatial RMDS. You will learn to load different formats into your Postgres instance, investigate the spatial nature of your raster data, and finally export it using built-in functionalities or 3th party tools for backup or representational purposes. Through the course of this book, you will be presented with many examples on how to interact with the database using JavaScript and Node.js. Sample web-based applications interacting with backend PostGIS will also be presented throughout the book, so you can get comfortable with the modern ways of consuming and modifying your spatial data.
22. Introduction — Spatial Data Management with Earth Engine
A database management system (DBMS) allows users to store, insert, delete, and update information in a database. Spatial databases go a step further because they record data with geographic coordinates.
ParadeDB — Search without a second system
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

PowerSync: Backend DB - SQLite sync engine | For Postgres, MongoDB, MySQL, SQL Server
Automatically sync your backend database with in-app SQLite and avoid the complexities of using APIs to move app state over the network.


drawDB | Online database diagram editor and SQL generator
Online database entity-relationship diagram editor, data modeler, and SQL generator. Design, visualize, and export scripts without an account and completely free of charge.

TigerFS
A filesystem backed by PostgreSQL, and a filesystem interface to PostgreSQL. TigerFS mounts a database as a directory. Every file is a real row. Writes are transactions. Multiple agents and humans can read and write concurrently with full ACID guarantees, locally or across machines. Any tool that works with files works out of the box.
Relational foundations for functorial data migration | Proceedings of the 15th Symposium on Database Programming Languages
In this paper we present a simple database definition language: that of categories and functors. A database schema is a small category and an instance is a set-valued functor on it. We show that morphisms of schemas induce three ''data migration ...
Semantic Data Modeling, Graph Query, and SQL, Together at Last?
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.

Build Your Own Database
A step-by-step guide to building a key-value database from scratch.

GitHub - clarisma/geodesk: Fast and storage-efficient spatial database engine for OpenStreetMap data
Fast and storage-efficient spatial database engine for OpenStreetMap data - clarisma/geodesk
ggsql: A grammar of graphics for SQL
Introducing ggsql, a grammar of graphics for SQL that lets you describe visualizations directly inside SQL queries.


Drawing a map of distributed data systems — Martin Kleppmann’s blog
How we created an illustrated guide to help you find your way through the data landscape.
Oracle Application Express (APEX) - Amazon Relational Database Service
Amazon Web Services (AWS) documentation to help you set up, operate, and scale a relational database in the AWS Cloud using Amazon Relational Database Service (Amazon RDS). You can create DB instances that run Amazon Aurora, MariaDB, Microsoft SQL Server, MySQL, Oracle, and PostgreSQL.
