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Everything about NoSQL

Database class for storage and retrieval of modeled data

NoSQL refers to a type of database design that stores and retrieves data differently from the traditional table-based structure of relational databases. Unlike relational databases, which organize data into rows and columns like a spreadsheet, NoSQL databases use a single data structure—such as key–value pairs, wide columns, graphs, or documents—to hold information. Since this non-relational design does not require a fixed schema, it scales easily to manage large, often unstructured datasets. NoSQL systems are sometimes called "Not only SQL" because they can support SQL-like query languages or work alongside SQL databases in polyglot-persistent setups, where multiple database types are combined. Non-relational databases date back to the late 1960s, but the term "NoSQL" emerged in the early 2000s, spurred by the needs of Web 2.0 companies like social media platforms. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: NoSQLA 5-minute orientation
  2. Skim a recent paper: A unified metamodel for NoSQL and relational databasesInfluential work since 2022
  3. Pick up a classic book: The Missing LinkThe most-reprinted book on the subject
  4. Read the landmark paper: Scalable SQL and NoSQL data storesCited 930 times
  5. Go sideways: Multi-model databaseA closely related topic
  6. Go sideways: Document-oriented databaseA closely related topic

đź“– Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Barriers to adoption
  2. History
  3. Types and examples
  4. Performance
  5. Handling relational data
  6. ACID and join support
  7. Query optimization and indexing in NoSQL databases

🏆 Landmark papers (most cited)

🆕 Influential since 2022

đź“š Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics