The Databricks ODBC Driver is a powerful tool that allows you to connect with live data from Databricks, directly from any applications that support ODBC connectivity. Access Databricks data like you would a database - read, write, and update Databricks Cluster, Jobs, Workspace, etc. through a standard ODBC Driver interface.
See what you can do with Databricks ODBC Driver
Server
Connect to Databricks from SQL Server as Linked-Server. You can query Databricks from familiar Transact-SQL without need of setting up another application.
Integrate Databricks 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 Databricks from any ODBC compatible tools:
Desktop
Your familiar tools can connect to Databricks using CData ODBC.
- Microsoft Access
- Power Query
- DBeaver
- and more
Databricks ODBC Connectivity Features
- SQL access to Databricks lakehouses
- Connect to live Databricks data, for real-time data access with the Databricks JDBC Driver
- 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 Databricks Connector.
Target Service, API
The driver supports all versions of Databricks from Runtime Versions 9.1 - 13.X including both Pro and Classic Databricks SQL versions. Compatible with Databricks clusters hosted on any cloud platform (AWS, Azure, GCP).
Schema, Data Model
Models Databricks data as relational tables with dynamic metadata discovery. The driver automatically detects table definitions data types and relationships. Supports Databricks Delta tables and provides access to workspace objects.
Key Objects
Databricks Clusters, Jobs, Workspace files, Notebooks, Delta tables, Views, and Databases. Provides access to both managed and external tables in the Databricks metastore.
Operations
Full CRUD operations with ANSI SQL-92 support. Pushes down filters, aggregations, and other SQL operations directly to Databricks for optimal performance. Supports complex JOINs and handles unsupported operations client-side. Enables batch operations and efficient data processing through Spark SQL integration.
Authentication
Supports Personal Access Token authentication, OAuth 2.0 (M2M and U2M), OAuth token pass-through, Azure Service Principal, and Azure AD authentication. Also supports OAuth 2.0 browser-based authentication for local applications.
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Robust ODBC access to Databricks
Full-featured and consistent SQL access to any supported data source through ODBC
Connect to Databricks—empower every team
AI-assisted development with CData CLI
Build Databricks integrations faster with AI that understands your schema
Schema-aware AI
CData CLI gives AI coding tools access to your Databricks 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 Databricks.
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 Databricks ODBC driver questions
Learn more about Databricks ODBC drivers for data and analytics integration
- Does Databricks support ODBC?
- Is there an ODBC driver for Databricks?
- How do I connect to Databricks via ODBC?
- Where can I download an ODBC driver for Databricks?
- How do I install an ODBC driver for Databricks?
- Is the Databricks ODBC driver 32-bit or 64-bit?
- Does pyODBC work with Databricks?
- Does the ODBC connector support ARM64 devices?
Download the Databricks ODBC Driver today!
Get the latest Databricks ODBC Drivers for Windows, Linux, and macOS. Install in minutes and connect your Databricks data to Power BI, Tableau, and more.
