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 InfluxDB, 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 InfluxDB are listed in the section below.
InfluxDB is a purpose-built time-series database by InfluxData, designed for high-write-throughput metrics, monitoring, IoT sensor data, and DevOps observability. It provides a custom query language (InfluxQL, Flux) and native integrations with Grafana, Telegraf, and Kapacitor.
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
For accessing the driver source code please visit the GitHub repository:
DbSchema connects to InfluxDB using the JDBC driver and renders measurements and tag keys as queryable schema objects. Use the SQL Editor to write InfluxQL queries and explore time-bucketed data in the result viewer.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your InfluxDB 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 InfluxDB 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 InfluxDB 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 InfluxDB 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 InfluxDB 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 InfluxDB 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 InfluxDB 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.