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 VoltDB, 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 VoltDB are listed in the section below.
VoltDB is an in-memory NewSQL database engineered for high-throughput, low-latency transactional workloads that require deterministic performance at scale. It uses a shared-nothing, horizontally partitioned architecture and processes transactions through stored procedures to minimize latency. VoltDB is used in telecommunications, financial services, and real-time analytics applications.
VoltDB uses port 21212 for the JDBC interface. Authentication with username and password can be specified in the URL or connection properties. The VoltDB JDBC driver is included in the VoltDB client distribution.
DbSchema connects to VoltDB using the VoltDB JDBC driver, allowing visualization of VoltDB's in-memory schema including partitioned tables and stored procedures, SQL query execution, and interactive data exploration for high-throughput transactional workloads.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your VoltDB 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 VoltDB 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 VoltDB 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 VoltDB 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 VoltDB 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 VoltDB 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 VoltDB 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.