A JDBC driver is a Java library file (.jar) that enables Java applications to communicate with a database. The JDBC is a standard interface implemented by each database with a specific driver. Drivers are typically distributed by the database vendor or as open-source projects.
The connection parameters including the database location, database name and connection method are passed to the driver using the JDBC URL. The JDBC URL is a text starting with 'jdbc:...' which combines the hostname, port, database name, and any driver-specific parameters. The exact syntax can be different for each JDBC driver.
Amazon DynamoDB is a fully managed, serverless NoSQL key-value and document database designed for high-performance applications at any scale. It delivers single-digit millisecond response times and automatically replicates data across multiple AWS availability zones. DynamoDB supports flexible schema design with partition keys, sort keys, and secondary indexes.
This JDBC driver is developed and maintained by the DbSchema team. It requires AWS credentials (access key ID and secret) and the target AWS region. For local development, use DynamoDB Local with jdbc:dynamodb://localhost:8000 to test without connecting to AWS.
The driver archive is a zip file. Unzip the downloaded archive to get the driver files. The driver source code can be found on GitHub repository.
The DynamoDB JDBC driver developed by the DbSchema team allows DbSchema to connect to AWS DynamoDB, visualize table and index structures (partition keys, sort keys, GSIs, LSIs), run SQL queries against DynamoDB data, and explore items interactively through the data explorer.
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Reverse engineer an existing database or open a sample model to explore tables, relations, and indexes visually.
Edit your schema, generate interactive documentation, and roll out reviewed changes across environments.
Once the JDBC driver is configured, DbSchema connects to your DynamoDB 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 DynamoDB 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 DynamoDB 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 DynamoDB 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 DynamoDB 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 DynamoDB 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 DynamoDB 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.
ER diagrams, Git-based versioning, random data generator, and HTML schema docs.