In this tutorial, we will be looking at the difference between SQL and NoSQL based on certain parameters. Before we begin, let’s analyze each individually to develop our understanding of these contrasting concepts. A Beginner’s Reference to SQL vs. NoSQL
Many new developers wonder what the difference is between
NoSQL. The subjects come up often in theoretical discussions and systems design interview preparation.
In this tutorial, we will be looking at the difference between SQL and NoSQL based on certain parameters. Before we begin, let’s analyze each individually to develop our understanding of these contrasting concepts.
This lesson was originally published at https://algodaily.com, where I maintain a technical interview course and write think-pieces for ambitious developers.
Some definitions to start:
SQL stands for Structured Query Language. As evident from the name, it is a querying language that is used to perform various data operations. It is supported on almost all Relational Databases.
And what is a Relational Database? A relational database, often synonymous as a
SQL Database, is a collection of data records that may have predefined associations or relationships with each other.
By extension, a Relational Database Management System (RDMS) is an interface (application or UI) to manage the records, usually by way of
SQL. It's used to store, edit, read, and write such data in the form of tables. It's also often visually shown as a spreadsheet-like shape.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
NoSQL databases use a variety of data models for accessing and managing data. These types of databases are optimized specifically for applications that require large data volume, low latency, and flexible data models, which are achieved by relaxing some of the data consistency restrictions of other databases.
Overview on AlaSQL, the popular lightweight client-side in memory SQL database, including a real life example of AlaSQL in action. I was surprised to see that there aren’t more posts about this popular lightweight client-side in-memory SQL database online apart from this awesome article I found.
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Watch this SQL tutorial to learn the key terms - SQL database, schema, table, and fields. Find out what’s the difference between SQL vs. no-SQL dbs. Discover what a relational database management system (RDBMS) is and how it is different from the database.