Awesome NoSQL Guides

A curated collection of resources and projects focused on NoSQL Guides.

Contents

• Overview of NoSQL
• Data Structures and Modeling
• Trade-Offs in CAP/Brewer’s Theorem
• Crowd-Sourced Information
• Graph Databases
• Criticisms and Debates
• Miscellaneous

Overview of NoSQL

• Introduction To NoSQL - Martin Fowler (54:52) - Talk given at GOTO 2012 as a great introduction to NoSQL databases, the types of NoSQL databases, their history, pros and cons, and how and when to use them.
• NoSQL Distilled - Very digestable and affordable book describing the different NoSQL databases and help you make the decision on whether using a NoSQL database is appropriate for your project.
• Seven Databases in Song (1:43) - Fun song from 2012 about seven (six are NoSQL) databases with a very condensed overview of how they each work.
• NoSQL Databases: a Survey and Decision Guidance (2016) - “This NoSQL Toolbox allows us to derive a simple decision tree to help practitioners and researchers filter potential system candidates based on central application requirements”.
• Data Management in the Cloud: Limitations and Opportunities (PDF) - Abadi (2009) discusses limitations and opportunities of data management and data analysis in the cloud.
• 10 NoSQL Misconceptions - Some misconceptions about NoSQL databases relating to topics such as what they are, ACID-compliance, and security.
• 10 Reasons Developers Love NoSQL - A list of ten arguments for why developers like to use NoSQL databases.
• Distribution, Data, Deployment: Software Architecture Convergence in Big Data Systems (PDF) - 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 here.
• Use cases for NoSQL (2017) - Discussion on Stack Overflow on best use cases for using NoSQL databases over traditional SQL databases.
• Five Common Data Stores and When to Use Them (2019) - Article describes five common data stores (relational database, non-relational (“NoSQL”) database, key-value store, full-text search engine, message queue) and their attributes.
• NoSQL Databases (PDF) - A 149-page document outlining motives and rationale for NoSQL databases, and common concepts, techniques and patterns among these databases; last updated around 2011.
• NoSQL Data Architecture & Data Governance: Everything You Need to Know (2018) - Overview of different NoSQL database architectures with diagrams.
• NoSQL vs SQL: Demystifying NoSQL Databases (2019) - General overview and examples of NoSQL database schema types, while covering CAP theorem tradeoffs.
• Comparing Database Types: How Database Types Evolved to Meet Different Needs - Good overview of databases in general and how NoSQL database types differ and can be useful.
• The NoSQL Ecosystem - A chapter written by Adam Marcus from “The Architecture of Open Source Applications” book, this chapter is geared more towards systems architects needing to learn more in-depth understanding of how these systems are built.
• What is NoSQL - Amazon AWS - Great high-level overview of NoSQL databases and how they compare to SQL database technologies and terminologies. Serves as landing page for Amazon’s AWS services for NoSQL options of key-value (Amazon DynamoDB), document (Amazon DocumentDB), graph (Amazon Neptune), in-memory (Amazon ElastiCache), and search-engine (Amazon Elasticsearch) database.
• NoSQL vs. SQL: Important Differences & Which One Is Best for Your Project (2021) - Upwork - Explanation comparing SQL and NoSQL databases, along with giving some advice on what database solution is right for your use case.
• NoSQL Database Tutorial – Full Course for Beginners (2:54:52) - Ania Kubow reviews the four types of NoSQL databases and provides two hands-on projects to experiment with what was reviewed.

Data Structures and Modeling

• Structure Your Database - Best practices (as of 2018) of structuring your data if your database uses JSON.
• NoSQL Data Modeling Techniques (2012) - This article provides a short comparison of NoSQL system families from the data modeling point of view and digests several common modeling techniques.
• Data Models For MongoDB - Data modeling help specific to MongoDB, ranging from schema validation and example patterns. However, concepts may carry over to other document NoSQL databases.
• Data Models Will Be Beautiful Again (2016) - Essay argues that despite existing schema-less databases, thoughtful database modeling is important to gain knowledge and insights using algorithms.
• Unified Data Modeling for Relational and NoSQL Databases - Solution for managing both NoSQL and relational databases using the Unified Data Modeling technique.
• Unifying Relational, Document, Graph, and Temporal Data Models - Patterns for querying across multiple paradigms in the same database.
• How To Design Schema For Your NoSQL Database? - 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.
• Best Practices for NoSQL Database Design (2012) - A couple answers and links for NoSQL database design.

Trade-Offs in CAP/Brewer’s Theorem

• Visual Guide To NoSQL Systems (2010) - Visual display of trade-offs in the CAP theorem among different NoSQL databases.
• How to Choose The Right NoSQL Database For Your Application? (2018) - Reviews CAP theorem and maps common NoSQL databases to CAP categories to help choose one.

Crowd-Sourced Information

• /r/nosql - Reddit page on NoSQL on general questions and discussions people may have about NoSQL databases.
• [nosql] Tag On Stack Overflow
• Ask HN: Learning NoSQL, Papers and Books (2017) - “In your opinion, which papers and books are mandatory to really understand NoSQL subject?”
• Difference Between Scaling Horizontally And Vertically For Databases - Common terms talked about in the database world and here are answers from others.
• NoSQL - Wikipedia - Wikipedia entry on all things NoSQL databases.

Graph Databases

• Graph Databases Use Cases - Although documents geared towards Neo4j, concepts are applicable to all graph databases.
• How The ICIJ Used Neo4j To Unravel The Panama Papers - Mar Cabra (32:02) - 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.
• Graph Databases For Beginners: The Basics Of Data Modeling - Discusses the basics of modeling your data and which approach you should take.
• Graph Data Modeling Guidelines - Directly related to Neo4j, but possibly applicable to any graph database.
• Graph Data Modeling Visualize Structure and Meaning - Brief introduction to graph data modeling and is an introduction to the book “Graph Data Modeling for NoSQL and SQL” by Thomas Frisendal.

Criticisms and Debates

• Addressing the NoSQL Criticism (2011) - Argues against nine criticisms to NoSQL databases as they apply to CouchDB, but may apply to others as well.
• Thank You For Your Help NoSQL, But We Got It From Here (2020) - 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).
• The Five Stages Of NoSQL (2016) - Stages of going through picking and using a NoSQL database mirroring the five stages of grief.
• The Biggest Challenges Of Moving To NoSQL (2017) - Speed and scalability and developer joy have been the gains found from enduring through challenges of moving to NoSQL.

Miscellaneous

• What As A NoSQL Database? Learn By Writing One In Python - Excellent tutorial in learning NoSQL vs RDBMS through building a toy database using Python.
• Dynamo Vs Cassandra : Systems Design Of NoSQL Databases - Blog post comparing and constrating system designs of two well known NoSQL databases.
• Why You Should Build Your Wwn NoSQL Database - 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.
• PostgreSQL, The NoSQL Database (2015) - 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.