HDFS JDBC Driver
Easily connect live HDFS data with Java-based BI, ETL, reporting, AI/ML & custom apps.
The HDFS JDBC Driver enables users to connect with live HDFS data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with HDFS.
HDFS JDBC Connectivity Features
- SQL access to Hadoop Distributed File System data
- Use SQL Stored Procedures to perform actions like creating files, appending data, setting permission, and more
- Connect to live Apache HDFS data, for real-time data access with the Apache HDFS Python Connectors
- Full support for data aggregation and complex JOINs in SQL queries
- Generate table schema automatically based on existing Apache HDFS data or manually for greater control of the content you need
- Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the HDFS Connector.
Target Service, API
The driver connects to Hadoop Distributed File System. Big data file storage.
Schema, Data Model
Models HDFS directories and files as tables. Supports various file formats.
Key Objects
Files, Directories, and Metadata. Hadoop file system access.
Operations
Read and write operations on HDFS. File format parsing. WebHDFS support.
Authentication
Kerberos or simple authentication. NameNode connection required.
Start a 30-day free trial today
JDBC access to Apache HDFS
Full-featured and consistent SQL access to any supported data source through JDBC
See what you can do with HDFS JDBC Driver
Integrate HDFS into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.
Connect to HDFS from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.
Use the HDFS JDBC Driver to rapidly deliver Java-based applications that connect with HDFS. Universal SQL-based interactivity simplifies integration and speeds time to market.
Connect to HDFS—empower every team
AI-assisted development with CData CLI
Build HDFS integrations faster with AI that understands your schema
Schema-aware AI
CData CLI gives AI coding tools access to your HDFS 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 HDFS.
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.
FAQs
Frequently asked HDFS JDBC driver questions
Learn more about HDFS JDBC drivers for data and analytics integration
Popular JDBC Videos:
