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JDBC

Amazon DynamoDB JDBC Driver

Easily connect live Amazon DynamoDB data with Java-based BI, ETL, reporting, AI/ML & custom apps.

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The Amazon DynamoDB JDBC Driver enables users to connect with live Amazon DynamoDB data, directly from any applications that support JDBC connectivity. Connect Java applications with the DynamoDB real-time NoSQL cloud database service. Use Amazon DynamoDB as the big data backend that powers your Java/J2EE applications.

JDBC architecture

Amazon DynamoDB JDBC Connectivity Features

  • Perform value-sensitive queries that properly interface with the loose typing available in DynamoDB columns
  • Easily insert and update entire DynamoDB documents and lists
  • Compatible with the current version of the DynamoDB REST API, version 2012-08-10
  • Makes use of DynamoDB indexing for improved performance
  • Enables SQL-92 capabilities on Amazon DynamoDB NoSQL data.
  • Flexible NoSQL flattening - automatic schema generation, flexible querying etc.
  • Connect to live Amazon DynamoDB data, for real-time data access with the Amazon DynamoDB Python Connectors
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the Amazon DynamoDB Connector.

Target Service, API

The driver connects to Amazon DynamoDB NoSQL database service. Supports all DynamoDB table types and indexes.

Schema, Data Model

Models DynamoDB tables as relational tables. Handles DynamoDB's schema-less nature with dynamic column detection.

Key Objects

Tables, Global Secondary Indexes, Local Secondary Indexes, and Streams. Access to all DynamoDB data types including sets and documents.

Operations

Full CRUD operations with SQL-92 support. Efficient scans and queries using indexes. Supports conditional operations and atomic counters.

Authentication

AWS authentication using Access Key/Secret Key, IAM roles, or temporary credentials. Supports cross-region access.

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JDBC access to Amazon DynamoDB

Full-featured and consistent SQL access to any supported data source through JDBC


See what you can do with Amazon DynamoDB JDBC Driver

ETL, Data Warehouse
Data integration & ETL

Integrate Amazon DynamoDB into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

BI, Reporting, Virtualization
BI, reporting & data virtualization

Connect to Amazon DynamoDB from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

Custom Java Applications
Custom Java applications

Use the Amazon DynamoDB JDBC Driver to rapidly deliver Java-based applications that connect with Amazon DynamoDB. Universal SQL-based interactivity simplifies integration and speeds time to market.

Connect to Amazon DynamoDB—empower every team

Management & Data Consumer
IT Department
ISVs & cloud service vendors

AI-assisted development with CData CLI

Build Amazon DynamoDB integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Amazon DynamoDB schema. No more guessing table names or column types—AI sees the same metadata in your JDBC Drivers.

Your AI knows SQL

How to find table names, column names, and how to generate SQL syntax are things that AI knows well from millions of training data. No need for customization, no hallucinations. Your AI acts like a domain specialist to Amazon DynamoDB.

More accurate, more token-efficient

With CData CLI's queryable schema detection and highly efficient queries with filters, aggregation, joins with correct pushdown, your AI will achieve more accuracy with less token usage.

Supported AI Coding Tools
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FAQs

Frequently asked Amazon DynamoDB JDBC driver questions

Learn more about Amazon DynamoDB JDBC drivers for data and analytics integration

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