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JDBC

Redis JDBC Driver

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

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CData Drivers now work with AI Coding tools

The Redis JDBC Driver enables users to connect with live Redis data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Redis.

JDBC architecture

Redis JDBC Connectivity Features

  • Compatible with Redis and Redis Enterprise
  • Seamlessly convert key-value stores into relational tables
  • Enables SQL-92 capabilities on Redis NoSQL data.
  • Flexible NoSQL flattening - automatic schema generation, flexible querying etc.
  • Connect to live Redis data, for real-time data access with the Redis ADO.NET Provider
  • 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 Redis Connector.

Target Service, API

The driver connects to Redis in-memory data store. Supports standalone Redis, Redis Cluster, and Redis Sentinel configurations.

Schema, Data Model

Models Redis data structures as tables. Keys become rows with support for different Redis data types (strings, hashes, lists, sets).

Key Objects

Keys, Hashes, Lists, Sets, Sorted Sets, Streams, and Pub/Sub channels. Access to all Redis data structures through SQL interface.

Operations

Read and write operations on Redis data. SQL queries with pattern matching on keys. Limited JOIN support due to Redis structure.

Authentication

Password authentication or ACL-based authentication for Redis 6+. SSL/TLS support for encrypted connections.

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JDBC access to Redis

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


See what you can do with Redis JDBC Driver

ETL, Data Warehouse
Data integration & ETL

Integrate Redis 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 Redis 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 Redis JDBC Driver to rapidly deliver Java-based applications that connect with Redis. Universal SQL-based interactivity simplifies integration and speeds time to market.

Connect to Redis—empower every team

Management & Data Consumer
IT Department
ISVs & cloud service vendors

AI-assisted development with CData CLI

Build Redis integrations faster with AI that understands your schema

Schema-aware AI

CData CLI gives AI coding tools access to your Redis 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 Redis.

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
Download CData CLI
FAQs

Frequently asked Redis JDBC driver questions

Learn more about Redis JDBC drivers for data and analytics integration

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