Don't do JSON as a database, kids. (#700)

Migrate no-JSON-as-a-database pinned message to site

Author: Xithrius

pydis_site/apps/content/resources/guides/python-guides/why-not-json-as-database.md

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+---
+title: Why JSON is unsuitable as a database
+description: The many reasons why you shouldn't use JSON as a database, and instead opt for SQL.
+relevant_links:
+    Tips on Storing Data: https://tutorial.vcokltfre.dev/tips/storage/
+---
+
+JSON, quite simply, is not a database. It's not designed to be a data storage format,
+rather a wayof transmitting data over a network. It's also often used as a way of doing configuration files for programs.
+
+There is no redundancy built in to JSON. JSON is just a format, and Python has libraries for it
+like json and ujson that let you load and dump it, sometimes to files, but that's all it does, write data to a file.
+There is no sort of DBMS (Database Management System), which means no sort of sophistication in how the data is stored,
+or built in ways to keep it safe and backed up, there's no built in encryption either - bear in mind
+in larger applications encryption may be necessary for GDPR/relevant data protection regulations compliance.
+
+JSON, unlike relational databases, has no way to store relational data,
+which is a very commonly needed way of storing data.
+Relational data, as the name may suggest, is data that relates to other data.
+For example if you have a table of users and a table of servers, the server table will probably have an owner field,
+where you'd reference a user from the users table. (**This is only relevant for relational data**).
+
+JSON is primarily a KV (key-value) format, for example `{"a": "b"}` where `a` is the key and `b` is the value,
+but what if you want to search not by that key but by a sub-key? Well, instead of being able to quickly use `var[key]`,
+which in a Python dictionary has a constant return time (for more info look up hash tables),
+you now have to iterate through every object in the dictionary and compare to find what you're looking for.
+Most relational database systems, like MySQL, MariaDB, and PostgreSQL have ways of indexing secondary fields
+apart from the primary key so that you can easily search by multiple attributes.