Download the Impala JDBC driver, copy the JDBC URL into DbSchema, and start designing schemas with ER diagrams — free Community Edition.
A JDBC driver is a Java .jar library that lets applications connect to Impala.
DbSchema uses JDBC to reverse engineer schemas, run SQL, and generate documentation.
Driver files are usually published by the database vendor or an open-source project.
Host, port, database name, and SSL options are passed in a URL starting with jdbc:.
Each Impala driver uses its own syntax — see the connection details below.
Apache Impala is Cloudera's massively parallel processing (MPP) SQL engine for Hadoop, enabling interactive SQL queries over HDFS and HBase without moving data. It is optimized for low-latency BI queries against Parquet and ORC files in the Cloudera Data Platform.
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema connects to Impala using the Cloudera JDBC driver and renders Impala tables with partition definitions and storage format information. Use the SQL Editor to write Impala SQL with partition pruning and query hints for columnar format queries.
Connect Impala, build your first ER diagram in minutes. No account required.
Get the Impala driver zip below and install DbSchema for Windows, macOS, or Linux.
In DbSchema, open Driver Manager, add the extracted JAR, and paste your JDBC URL.
Reverse engineer Impala, edit the model visually, and publish schema documentation.
After the JDBC driver connects, you get ER diagrams, SQL editor, schema sync, and HTML documentation in one desktop app. Compare DbSchema editions.
Reverse engineer Impala into an interactive diagram and edit structures visually.
Run SQL with autocomplete or compose queries without writing every join by hand.
Export HTML docs your team can browse without installing DbSchema.
Connection tips, ports, SSL, and schema design workflows on the database landing page.
Other drivers teams often configure alongside Impala.
Teams working with Impala often use these engines too. Explore dedicated guides and JDBC setup for each.