Free Graph Database in the Cloud

Get Faster with Graph

Graph databases — the fastest growing type of database of the last decade — are optimized to process queries of large, highly connected datasets with blazing speed. Neo4j, the leading graph database, maintains high performance as data size grows, while relational and NoSQL database query times increase at an exponential rate.

MATCH (p:Product)-[:CATEGORY]->(l:ProductCategory)-[:PARENT*0..]->(:ProductCategory {name:"Dairy Products"})
RETURN p.name

Compare the top query, in the Cypher graph query language, to its counterpart in SQL below. Unlike the Cypher query, which has unlimited depth, the SQL query selects just three levels of depth to keep the complexity manageable.

SELECT p.ProductName
FROM Product AS p
JOIN ProductCategory pc ON (p.CategoryID = pc.CategoryID AND pc.CategoryName = "Dairy Products")

JOIN ProductCategory pc1 ON (p.CategoryID = pc1.CategoryID)
JOIN ProductCategory pc2 ON (pc1.ParentID = pc2.CategoryID AND pc2.CategoryName = "Dairy Products")

JOIN ProductCategory pc3 ON (p.CategoryID = pc3.CategoryID)
JOIN ProductCategory pc4 ON (pc3.ParentID = pc4.CategoryID)
JOIN ProductCategory pc5 ON (pc4.ParentID = pc5.CategoryID AND pc5.CategoryName = "Dairy Products");

Rapid, Agile Development

Neo4j AuraDB supports Cypher, the easy, intuitive graph query language. Write complex queries with 10x less code than SQL and no more joins to deal with. Learn fast with sample datasets and built-in guides. Code fast with rich developer tools.