HDFS ODBC Driver
SQL-based access to HDFS through ODBC for seamless integration with BI, ETL, and reporting with just a few clicks.
The HDFS ODBC Driver is a powerful tool that allows you to connect with live data from HDFS, directly from any applications that support ODBC connectivity. Access HDFS data like you would a database - read HDFS data through a standard ODBC Driver interface.
See what you can do with HDFS ODBC Driver
Server
Connect to HDFS from SQL Server as Linked-Server. You can query HDFS from familiar Transact-SQL without need of setting up another application.
Integrate HDFS to your system through popular ETL / EAI tools such as Informatica PowerCenter. Standard SQL and Stored Procedures enable fast delivery of your integration projects.
Connect HDFS from any ODBC compatible tools:
Desktop
Your familiar tools can connect to HDFS using CData ODBC.
- Microsoft Access
- Power Query
- DBeaver
- and more
HDFS ODBC 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.
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Robust ODBC access to Apache HDFS
Full-featured and consistent SQL access to any supported data source through ODBC
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 ODBC 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 ODBC driver questions
Learn more about HDFS ODBC drivers for data and analytics integration
Download the HDFS ODBC Driver today!
Get the latest HDFS ODBC Drivers for Windows, Linux, and macOS. Install in minutes and connect your HDFS data to Power BI, Tableau, and more.