awesome-nosql-guides

Some misconceptions about NoSQL databases relating to topics such as what they are, ACID-compliance, and security.

A list of ten arguments for why developers like to use NoSQL databases.

Good overview of databases in general and how NoSQL database types differ and can be useful.

Abadi (2009) discusses limitations and opportunities of data management and data analysis in the cloud.

Gorton and Klein (2014) paper to discuss software engineering concerns when dealing with big data systems in terms of distribution, data, and deployment. Also accessible

Article describes five common data stores (relational database, non-relational (“NoSQL”) database, key-value store, full-text search engine, message queue) and their attributes.

Argues against nine criticisms to NoSQL databases as they apply to CouchDB, but may apply to others as well.

Argument that NoSQL databases have pushed the evolution of databases given the problem of scaling, but now NewSQL has addressed those concerns (from the perspective of MemSQL).

Speed and scalability and developer joy have been the gains found from enduring through challenges of moving to NoSQL.

Stages of going through picking and using a NoSQL database mirroring the five stages of grief.

"In your opinion, which papers and books are mandatory to really understand NoSQL subject?"

Common terms talked about in the database world and here are answers from others.

Wikipedia entry on all things NoSQL databases.

Reddit page on NoSQL on general questions and discussions people may have about NoSQL databases.

A couple answers and links for NoSQL database design.

Data modeling help specific to MongoDB, ranging from schema validation and example patterns. However, concepts may carry over to other document NoSQL databases.

Essay argues that despite existing schema-less databases, thoughtful database modeling is important to gain knowledge and insights using algorithms.

Despite popular belief that NoSQL are schema-less, this article outlines how NoSQL databases follow "query driven design" and considerations for this flexibility in schema.

This article provides a short comparison of NoSQL system families from the data modeling point of view and digests several common modeling techniques.

Best practices (as of 2018) of structuring your data if your database uses JSON.

Blog post comparing and constrating system designs of two well known NoSQL databases.

An argument for PostgreSQL being an alternative to NoSQL databases with NoSQL-like features using its new features like HStore (key-value store) and JSONB (document-based) as of Version 9.4.

Excellent tutorial in learning NoSQL vs RDBMS through building a toy database using Python.

Brief overview of NoSQL databases and the spectrum of schema, along with a very basic implementation of a NoSQL database using the Crystal programming language.

Discusses the basics of modeling your data and which approach you should take.

Although documents geared towards Neo4j, concepts are applicable to all graph databases.

Directly related to Neo4j, but possibly applicable to any graph database.

Brief introduction to graph data modeling and is an introduction to the book "Graph Data Modeling for NoSQL and SQL" by Thomas Frisendal.

Learn how graph databases were key to explore who were the main names connected to companies in tax havens, including 140 politicians in more than 50 countries.

Reviews CAP theorem and maps common NoSQL databases to CAP categories to help choose one.

Visual display of trade-offs in the CAP theorem among different NoSQL databases.