Kuzu Link May 2026

In the landscape of modern data architecture, graph databases excel at revealing relationships, while operational data typically resides in relational databases (PostgreSQL, MySQL) or data lakes (S3, Parquet). The challenge has always been synchronization—how to query relationships without the overhead of massive data duplication.

Kuzu Link represents the strategic capability within the Kuzu graph database to bridge this gap. Through its External Data Source Connectors, Kuzu allows users to "link" external data directly into the graph model, enabling a hybrid architecture where data lives elsewhere, but intelligence lives in the graph.

Kuzu Link supports projected adjacency lists—materialized views that store only a subset of relationship properties. For a dashboard that only needs link.count (e.g., number of transactions), create a projected link without the full transaction history. This reduces I/O dramatically. kuzu link

db = kuzu.Database('./test.db') conn = kuzu.Connection(db)

Step 3: Define a Schema (Cypher DDL)

# Create a Node table called 'User'
conn.execute("CREATE NODE TABLE User (name STRING, age INT64, PRIMARY KEY (name))")
Implementing Kuzu Link in your application is surprisingly straightforward. Below is a practical example using Python (the most common client).
Under the hood, Kuzu Link leverages adjacency lists stored in a columnar format. Each relationship (edge) is stored as a pair of node offsets. However, what makes Kuzu Link unique is its hybrid indexing: it maintains both forward and backward adjacency lists without duplicating storage overhead. When you execute a Kuzu Link traversal, the engine performs a direct memory access (via memory-mapped files) to these lists, bypassing the buffer manager bottlenecks common in disk-based graph databases. In the landscape of modern data architecture, graph
Kuzu implements a bounded breadth-first search (BFS) with cost-based pruning. The Kuzu Link query planner estimates the selectivity of each relationship type before deciding whether to traverse from the left node or the right node. For example, if you query MATCH (a:Person)-[:KNOWS]->(b:Person), Kuzu Link will start from whichever side has fewer nodes (e.g., "Person with age > 50" vs. "all Persons").