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 Greenplum, 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 Greenplum are listed in the section below.
Greenplum is an open-source massively parallel processing (MPP) data warehouse based on PostgreSQL, designed for high-performance analytics on large datasets. It distributes data and query processing across multiple segments, enabling parallel execution of complex analytical queries. Greenplum is used in enterprise data warehousing, machine learning pipelines, and large-scale ETL workloads.
Greenplum is a PostgreSQL-based MPP database. Connect to the Greenplum Master node on port 5432 using the standard PostgreSQL JDBC driver. Greenplum extensions and distribution keys are visible through standard PostgreSQL metadata queries.
DbSchema connects to Greenplum using the standard PostgreSQL JDBC driver, rendering the MPP schema including distribution policies, partition tables, and external tables in the visual schema designer, and enabling analytical SQL query authoring against the Greenplum cluster.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your Greenplum 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 Greenplum 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 Greenplum 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 Greenplum 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 Greenplum 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 Greenplum 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 Greenplum 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.