Integrating OpenCode with Databricks data via CData CLI
OpenCode is an open source AI coding agent from Anomaly that runs in your terminal, desktop, or IDE. It connects to over 75 LLM providers, including Claude, GPT, Gemini, and local models, and stores none of your code or context data. It runs multiple agent sessions in parallel on the same project, each with its own context. Its support for integrations, AGENTS.md configuration files, and a TypeScript/JavaScript plugin system makes it well-suited for tool-driven data workflows through CData CLI. By describing your data goals in plain language, OpenCode handles driver configuration, license activation, connection creation, and query execution from a single prompt.
This article walks through how to connect Databricks data to OpenCode through CData CLI.
Prerequisites
- OpenCode installed (either Terminal CLI or Desktop): OpenCode | Download
- CData CLI installed
- Access to Databricks
About Databricks Data Integration
Accessing and integrating live data from Databricks has never been easier with CData. Customers rely on CData connectivity to:
- Access all versions of Databricks from Runtime Versions 9.1 - 13.X to both the Pro and Classic Databricks SQL versions.
- Leave Databricks in their preferred environment thanks to compatibility with any hosting solution.
- Secure authenticate in a variety of ways, including personal access token, Azure Service Principal, and Azure AD.
- Upload data to Databricks using Databricks File System, Azure Blog Storage, and AWS S3 Storage.
While many customers are using CData's solutions to migrate data from different systems into their Databricks data lakehouse, several customers use our live connectivity solutions to federate connectivity between their databases and Databricks. These customers are using SQL Server Linked Servers or Polybase to get live access to Databricks from within their existing RDBMs.
Read more about common Databricks use-cases and how CData's solutions help solve data problems in our blog: What is Databricks Used For? 6 Use Cases.
Getting Started
Step 1: Download the skill (one-time setup)
Always use CData CLI with the official Skill.
-
The official CData CLI Skill on GitHub can be downloaded using npx skills through the terminal:
npx skills add CDataSoftware/cli-skills -
Follow the prompts in the terminal to install for OpenCode.
Step 2: Set up the project directory
Create a project directory to contain all project files. Below are examples for using OpenCode in either the Terminal or Desktop app.
OpenCode in Terminal CLI
Navigate to your desired directory in the terminal and start a session with the opencode command.
OpenCode Desktop App
Open the desktop app and select your project folder as the working directory.
Step 3: Establish the driver and connection
Describe what you want to accomplish with the CLI and Databricks data.
I would like to build a command line app that connects to Databricks and checks for updates from Customers. Make sure to include data from important columns like City and CompanyName.
This prompt automatically loads the Skill and kicks off the following process. You can also manually prompt the agent for each of the following steps.
- Driver setup: OpenCode checks for an existing CData Databricks driver, or searches and downloads a new one:
cdatacli drivers listcdatacli drivers search --driver "Databricks"cdatacli drivers download --artifact-id <artifact-id>- Activation: Activate the Databricks driver with a single command for a trial or full license:
cdatacli drivers activate "Databricks" --name "<name>" --email "<email>" --trialcdatacli drivers activate "Databricks" --name "<name>" --email "<email>" --key "<product-key>"- Establish the connection: Check for existing Databricks connections or create a new one:
cdatacli connection listcdatacli connection create --driver Databricks --name my_databricks_connection --connectionstring "Prop1=value1;Prop2=value2;..."- Create a Databricks skill (if applicable): CData provides driver instructions for popular sources that can be used to create a source-specific skill to guide the agent through best practices for the driver.
- Run the following command to generate a skill file and save the output to your skills directory. You can choose to save the skill either at the project level or globally. (Note: If "No instructions available for Databricks" error is returned, no driver instructions exist and you can continue to use main driver skill)
cdatacli drivers skill "Databricks" > ~/skills/cdata-databricks/SKILL.md
Step 4: Query Databricks data
With the CData driver configured, your agent can execute queries and write code against live Databricks data:
cdatacli query sql --connection my_databricks_connection --sql "SELECT * FROM Customers"
Query Databricks data directly from your terminal with CData CLI
OpenCode and CData CLI together give your AI coding agent a direct path to live Databricks data without custom middleware, scheduled syncs, or manual setup at each step. Describe your goal, and the agent handles driver configuration, connection setup, and query execution.
Download the free CData CLI and start a free 30-day trial of the CData JDBC Driver for Databricks today.