A visual language for querying and updating graphs

03 Jan

Others use a key-value store or document-oriented database for storage, making them inherently No SQL structures.Most graph databases based on non-relational storage engines also add the concept of tags or properties, which are essentially relationships having a pointer to another document.You can find the appropriate transformation code for your language and stack there.In computing, a graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data.

For example, you can use a document collection to store graph data side by side with documents, and use both SQL queries over JSON and Gremlin queries to query the collection.Just the 2015 data alone records nearly three quarters of a trillion emotional snapshots and more than 1.5 billion location references, while its total archives span more than 215 years, making it one of the largest open-access spatio-temporal datasets in existance and pushing the boundaries of "big data" study of global human society.Its Global Knowledge Graph connects the world's people, organizations, locations, themes, counts, images and emotions into a single holistic network over the entire planet.This sample shows how to setup your development environment with Azure Cosmos DB graph APIs, create a graph, adding, updating, and removing vertices and edges from the graph, and performing queries and traversals using Gremlin.Azure Cosmos DB provides you with a fully-managed graph database service with global distribution, elastic scaling of storage and throughput, automatic indexing and query, tunable consistency levels, and supports the Gremlin standard.