What is NoSQL, how does it work, and what benefits does it provide?
NoSQL databases aren't a replacement for SQL - they are an alternative. Most software ecosystems around the different NoSQL databases aren't as mature yet. While there are …
Why NoSQL is better at scaling out than RDBMSs? [closed]
109 The two primary differences between NoSQL and SQL, with only the first being a true advantage: ACID vs BASE NoSQL typically leaves out some of the ACID features of SQL, …
mongodb - When should I use a NoSQL database instead of a …
Sep 15, 2010 · 17 NoSQL is a database system where data is organized into the document (MongoDB), key-value pair (MemCache, Redis), and graph structure form (Neo4J). Maybe …
How to Draw UML Diagram for NoSql Like MongoDB? [duplicate]
I would like to know that can i draw UML diagrams for my web application which has back end Mongodb? Or is there any other diagrams for NoSql?
NoSql vs Relational database - Stack Overflow
NOSQL means only no SQL (or "not only SQL") but that doesn't mean the same as no relational. A relational database in principle would make a very good NOSQL solution - it's just that none …
database - What exactly is NoSQL? - Stack Overflow
What is NoSQL ? NoSQL is the acronym for Not Only SQL. The basic qualities of NoSQL databases are schemaless, distributed and horizontally scalable on commodity hardware.
SQL versus noSQL (speed) - Stack Overflow
When people are comparing SQL and noSQL, and concluding the upsides and downsides of each one, what I never hear anyone talking about is the speed. Isn't performing SQL queries …
What is the best way to store any kind of file in a database using ...
May 18, 2022 · So I'm creating a ticket system, and what I'd like to do is to add any type of file to my tickets and store them in my database. So I was thinking about using a noSQL database …
Equivalent of ERD for MongoDB? - Stack Overflow
May 15, 2011 · What would be the equivalent of ERD for a NoSQL database such as MongoDB?
Transactions in NoSQL? - Stack Overflow
Feb 6, 2010 · NoSQL covers a diverse set of tools and services, including key-value-, document, graph and wide-column stores. They usually try improving scalability of the data store, usually …