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 Apache Pinot, 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 Apache Pinot are listed in the section below.
Apache Pinot is a distributed, real-time OLAP datastore built for low-latency analytics on large-scale event streams. It is designed to ingest data from sources like Apache Kafka and query it with sub-second latency, making it popular for user-facing analytics applications. Pinot's columnar storage and inverted indexes enable high-throughput, high-concurrency analytical queries.
Connect to the Pinot Broker on port 9000. The JDBC driver is part of the Pinot client distribution and can be obtained from the Apache Pinot release artifacts or Maven Central. Authentication and TLS settings can be configured via additional JDBC URL parameters.
DbSchema connects to Apache Pinot via the Pinot JDBC driver, letting teams visualize real-time OLAP schemas, explore segment contents, and write low-latency analytical SQL queries through an interactive editor.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot 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.