已停更neo4j-rest-graphdb替代方案选型咨询：多技术对比

Hey there! Let's break down your options clearly based on your core needs—fetching node properties, extracting subgraphs, and feeding that data to Keylines for visualization. I'll cover each option you're considering, plus address the Neo4j OGM 3 question.

1. Neo4j Java Driver (官方核心驱动) #

This is hands down the most flexible and future-proof option for your use case. Here's why:

• It's officially maintained by Neo4j, supports all recent Neo4j versions, and gets regular updates for security and new features.
• You can write raw Cypher queries directly (just like you did with the old REST library) and get granular control over the results. For extracting subgraphs, you can craft Cypher to return exactly the nodes and relationships you need, then map them straight to the JSON structure Keylines expects—no extra ORM layers getting in the way.
• It's lightweight and doesn't tie you to any framework (like Spring), which is great if your project isn't already using Spring.

Quick Example Snippet #

// Initialize the driver (use Bolt protocol, the modern replacement for REST)
Driver driver = GraphDatabase.driver("bolt://localhost:7687", AuthTokens.basic("neo4j", "your-password"));

try (Session session = driver.session()) {
    // Cypher query to fetch your target subgraph
    String subgraphQuery = "MATCH (root)-[r*1..2]->(child) WHERE root.id = 'your-root-id' RETURN root, r, child";
    Result result = session.run(subgraphQuery);

    // Build data structure for Keylines
    List<Map<String, Object>> keylinesNodes = new ArrayList<>();
    List<Map<String, Object>> keylinesEdges = new ArrayList<>();

    while (result.hasNext()) {
        Record record = result.next();
        // Extract nodes and relationships from the result
        Node root = record.get("root").asNode();
        Node child = record.get("child").asNode();
        Relationship rel = record.get("r").asRelationship();

        // Add nodes to Keylines format
        keylinesNodes.add(Map.of(
            "id", root.id(),
            "label", root.labels().iterator().next(),
            "properties", root.asMap()
        ));
        keylinesNodes.add(Map.of(
            "id", child.id(),
            "label", child.labels().iterator().next(),
            "properties", child.asMap()
        ));

        // Add edge to Keylines format
        keylinesEdges.add(Map.of(
            "id", rel.id(),
            "source", rel.startNodeId(),
            "target", rel.endNodeId(),
            "type", rel.type(),
            "properties", rel.asMap()
        ));
    }

    // Convert to JSON for Keylines (using Jackson, for example)
    ObjectMapper mapper = new ObjectMapper();
    String keylinesJson = mapper.writeValueAsString(Map.of("nodes", keylinesNodes, "edges", keylinesEdges));
    // Pass this JSON to your Keylines frontend
} finally {
    driver.close();
}

2. Spring Data Neo4j (SDN) #

If your project is already part of the Spring ecosystem, SDN is a solid choice—but it's more opinionated than the raw Java Driver:

• SDN maps Neo4j nodes/relationships to Java entity classes, which simplifies CRUD operations and type-safe queries. For example, you can define a User class annotated with @Node and a Follows class annotated with @Relationship to model your graph.
• Modern SDN (version 6+) is built directly on top of the Neo4j Java Driver, so it inherits all the driver's performance and compatibility benefits. You can still run raw Cypher queries when you need to extract complex subgraphs.
• The downside? If your main goal is just pulling subgraph data for Keylines, defining all those entity classes might feel like unnecessary overhead. But if you're building a full Spring application with graph data, it's worth the setup.

3. Neo4j Spring JDBC Template #

I'd recommend skipping this one. It's a legacy approach that's far less suited for graph data:

• JDBC is designed for relational databases, so handling Neo4j's graph structures (like relationships and nested subgraphs) is clunky and requires manual result parsing.
• Official support for this library is minimal compared to the Java Driver or SDN, and it doesn't leverage Neo4j's native graph capabilities as effectively.

What About Neo4j OGM 3? #

OGM 3 was the underlying mapping layer for Spring Data Neo4j 5, but it's no longer recommended for new projects:

• SDN 6+ has replaced OGM with a native mapping implementation built directly on the Java Driver. The standalone OGM library is essentially unmaintained now.
• If you were considering OGM for entity mapping, go with modern SDN instead—it's more robust and aligned with current Neo4j best practices.

Final Recommendation #

• If you're not using Spring: Stick with the Neo4j Java Driver. It's lightweight, flexible, and perfect for crafting Cypher queries to extract exactly the subgraph data you need for Keylines.
• If you're in a Spring stack: Use Spring Data Neo4j 6+. It integrates seamlessly with Spring, offers entity mapping, and still lets you run raw Cypher when you need to.

内容的提问来源于stack exchange，提问作者ErEcTuS