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 CrateDB, 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 CrateDB are listed in the section below.
CrateDB is a distributed SQL database designed for machine data and IoT analytics at scale. It combines the familiarity of SQL with the scalability of a NoSQL document store, supporting dynamic schemas and time-series data natively. CrateDB's shared-nothing architecture allows horizontal scaling without manual sharding.
CrateDB uses a PostgreSQL-compatible wire protocol on port 5432 by default. The CrateDB JDBC driver provides direct connectivity with full SQL support. SSL can be enabled by appending ?ssl=true to the URL for encrypted connections to secured clusters.
DbSchema connects to CrateDB using the native CrateDB JDBC driver, visualizing distributed table schemas including sharding configurations, and enabling SQL authoring for IoT and machine-data analytics workloads through the integrated editor.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your CrateDB 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 CrateDB 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 CrateDB 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 CrateDB 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 CrateDB 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 CrateDB 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 CrateDB 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.