A JDBC driver is a Java library file (.jar) that enables Java applications — including DbSchema — to communicate with a database over a standard API. The driver translates generic JDBC calls into the network protocol understood by Neo4j, so you never have to write low-level socket code. Drivers are typically distributed by the database vendor or as open-source projects.
Every JDBC driver identifies the target database through a connection URL. The URL encodes the hostname, port, database name, and any driver-specific parameters as a single string. The exact syntax varies per driver — the details for Neo4j are listed in the section below.
Neo4j is the world's leading graph database, storing data as nodes and relationships that model highly connected domains naturally without costly joins. It powers applications in fraud detection, knowledge graphs, recommendation engines, and network analysis where relationships between entities are first-class data. Neo4j supports the Cypher query language and also exposes a JDBC-compatible interface for SQL tooling integration.
The Neo4j JDBC driver communicates over the Bolt protocol on port 7687. For Neo4j AuraDB (cloud), use the Bolt+Routing URL: jdbc:neo4j+s://xxxxx.databases.neo4j.io. Authentication uses the standard Neo4j username and password credentials.
DbSchema connects to Neo4j via the Neo4j JDBC driver wrapping the Bolt protocol, enabling visualization of node label schemas and relationship types, and Cypher query execution through the SQL editor interface for graph database management teams.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your Neo4j database and gives you a full graphical workbench — no command-line required. Available as a free Community Edition and a full-featured PRO Edition. No registration needed to get started.
Reverse-engineer your Neo4j schema into a drag-and-drop ER diagram. Arrange tables visually, add new columns, define foreign keys, and let DbSchema generate the DDL — all without writing SQL by hand.
Compose Neo4j queries by clicking on tables and columns — no SQL knowledge required. Add joins, filters, groupings, and aggregations through a point-and-click interface, then copy the generated SQL or run it directly against the live database.
Browse Neo4j table data and follow foreign key relationships across tables in a single view. Edit cells inline, filter rows, and paginate through large datasets — all without leaving the explorer.
Compare your Neo4j schema across development, staging, and production environments. DbSchema generates the exact ALTER statements needed to close the gap and lets you review every change before executing — reducing the risk of unintended schema drift.
Write and execute Neo4j queries in the integrated SQL editor with schema-aware autocomplete, syntax highlighting, and instant result display. Run scripts, inspect execution plans, and export results to CSV or JSON from a single interface.
Generate a static HTML site documenting every table, column, type, index, and relationship in your Neo4j schema. Share it with your team or embed it in your project wiki — no extra tooling required.
For the full feature list and edition comparison, visit the DbSchema PRO Edition page.