Everything About ___
Live briefing

Everything about Graph database

Database using graph structures for queries

A graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges, and properties to represent and store data. A key concept of the system is the graph. The graph relates the data items in the store to a collection of nodes and edges, the edges representing the relationships between the nodes. The relationships allow data in the store to be linked together directly and, in many cases, retrieved with one operation. Graph databases hold the relationships between data as a priority. Querying relationships is fast because they are perpetually stored in the database. Relationships can be intuitively visualized using graph databases, making them useful for heavily inter-connected data. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Graph databaseA 5-minute orientation
  2. Skim a recent paper: Generic Diagramming Platform (GDP): a comprehensive database of high-quality biomedical graphicsInfluential work since 2022
  3. Pick up a classic book: Graph DatabasesThe most-reprinted book on the subject
  4. Read the landmark paper: Survey of graph database modelsCited 755 times
  5. Go sideways: Cypher (query language)A closely related topic
  6. Go sideways: Graph Query LanguageA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. History
  2. Background
  3. Graph models
  4. Properties
  5. Applications
  6. Comparison with relational databases
  7. List of graph databases
  8. Graph query-programming languages

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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

🔗 Related topics