Databricks integration (#1669)

* Remove print statement (#241)

* Do not require redis in rxconfig.py (#395)

* use rx.color instead of var in icon docs page (#1019)

* Revert the last two deploy workflow commits (#1308)

* Revert "Fix: Remove interactive flag from deploy workflows (#1307)"

This reverts commit 08d1ce0bc34058c489ac580ffde194cfcc45b4ac.

* Revert "Fix: Replace --no-interactive with --interactive=false in deploy workflows (#1306)"

This reverts commit 55aed9660525cdd3b477a26141ab176640590a7b.

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

* databricks docs

---------

Co-authored-by: Elijah Ahianyo <[email protected]>
Co-authored-by: Masen Furer <[email protected]>
Co-authored-by: Carlos <[email protected]>
Co-authored-by: devin-ai-integration[bot] <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Tom Gotsman <[email protected]>

Author: 6 people

assets/ai_builder/integrations/databricks_integration_1.webp

@@ -3,23 +3,80 @@ tags: Data Infrastructure
 description: Connect with Databricks to run data pipelines and advanced analytics seamlessly.
 ---
 
+
 # Databricks Integration
 
-The **Databricks Integration** allows your app to connect to a Databricks workspace, query data from warehouses, and use catalogs and schemas directly in your app. This integration supports secure authentication via tokens and can be configured per environment.
+The **Databricks Integration** allows your app to connect to [Databricks](https://www.databricks.com/) for secure data access, querying, and analytics. Once connected, you can run SQL queries, retrieve results, and power data-driven workflows directly from your app.
+
+## What You Can Do
+
+With Databricks, your app can:
+- Connect securely to your Databricks workspace.  
+- Run **SQL queries** or fetch data programmatically.  
+- Build **dashboards and data visualizations** on top of your Databricks tables.  
+- Automate workflows triggered by new or updated data.  
+- Combine Databricks with AI models for advanced analytics.
+
 
 ```python exec
 import reflex as rx
 from reflex_image_zoom import image_zoom
 ```
 
+
+## Step 1: Get Your Databricks Credentials
+
+1 - Log in to your [Databricks Workspace](https://databricks.com/).
+
+2 - Get your **DATABRICKS_HOST** and **DATABRICKS_WAREHOUSE_ID**:
+   - Go to `SQL Warehouses` from the sidebar.
+   - Select your desired warehouse.
+   - Click `Connection details`.
+   - Copy the Server hostname (this is your **DATABRICKS_HOST**).
+   - Copy the HTTP path removing the `/sql/1.0/warehouses/` prefix (this is your **DATABRICKS_WAREHOUSE_ID**).
+
+
+```python eval
+rx.el.div(
+    image_zoom(
+        rx.image(
+            src="/ai_builder/integrations/databricks_integration_1.webp",
+            class_name="p-2 rounded-md h-auto",
+            border=f"0.81px solid {rx.color('slate', 5)}",
+        ),
+        class_name="rounded-md overflow-hidden",
+    ),
+    class_name="w-full flex flex-col rounded-md cursor-pointer",
+)
+```
+
+3 - Generate a **Personal Access Token** (**DATABRICKS_TOKEN**):
+   - Click on your profile icon → **Settings**.
+   - Click **Developer**.
+   - Click **Manage** in Access Tokens.
+   - Click **Generate New Token**, provide a name and expiration, then copy it (**DATABRICKS_TOKEN**).
+
+```python eval
+rx.el.div(
+    image_zoom(
+        rx.image(
+            src="/ai_builder/integrations/databricks_integration_2.webp",
+            class_name="p-2 rounded-md h-auto",
+            border=f"0.81px solid {rx.color('slate', 5)}",
+        ),
+        class_name="rounded-md overflow-hidden",
+    ),
+    class_name="w-full flex flex-col rounded-md cursor-pointer",
+)
+```
+
+
+
 ```python eval
 rx.el.div(
     image_zoom(
         rx.image(
-            src=rx.color_mode_cond(
-                "/ai_builder/integrations/databricks_light.webp",
-                "/ai_builder/integrations/databricks_dark.webp",
-            ),
+            src="/ai_builder/integrations/databricks_integration_3.webp",
             class_name="p-2 rounded-md h-auto",
             border=f"0.81px solid {rx.color('slate', 5)}",
         ),
@@ -29,30 +86,44 @@ rx.el.div(
 )
 ```
 
-## Step 1: Gather Your Credentials
+4 - Get your **DATABRICKS_CATALOG** and **DATABRICKS_SCHEMA**:
+   - Click the SQL Editor from the sidebar.
+   - Choose the **DATABRICKS_CATALOG** and **DATABRICKS_SCHEMA** from the dropdowns as shown below.
+
+
+```python eval
+rx.el.div(
+    image_zoom(
+        rx.image(
+            src="/ai_builder/integrations/databricks_integration_4.webp",
+            class_name="p-2 rounded-md h-auto",
+            border=f"0.81px solid {rx.color('slate', 5)}",
+        ),
+        class_name="rounded-md overflow-hidden",
+    ),
+    class_name="w-full flex flex-col rounded-md cursor-pointer",
+)
+```
 
-Before connecting, make sure you have the following information:
 
-- **Hostname**: `https://adb-1234567890123456.7.azuredatabricks.net`
-  *The URL of your Databricks workspace*
 
-- **Personal Access Token**: `dapi1234567890abcdef1234567890abcd`
-  *Used for secure authentication*
+## Step 2: Configure the Integration in Your App
 
-- **Warehouse / SQL Endpoint ID**: `wh-9876543210`
-  *The warehouse ID you want to query*
+1. In your app, go to **Integrations** and **Add Databricks**.  
+2. Paste your 
+   1. **DATABRICKS_TOKEN**
+   2. **DATABRICKS_HOST**
+   3. **DATABRICKS_WAREHOUSE_ID**
+   4. **DATABRICKS_CATALOG**
+   5. **DATABRICKS_SCHEMA**  
+3. Click **Connect** to validate and save your integration.
 
-- **Catalog**: `databricks_catalog_demo`
-  *The catalog containing your databases*
+Once connected, the AI Builder can execute queries directly against your Databricks environment.
 
-- **Schema**: `demo_schema`
-  *The schema inside the catalog to query*
 
-> **Note:** Use environment-specific credentials for development, staging, and production.
+## Step 3: Notes
 
-## Step 2: Configure the Integration
+* **Secure your token:** Never expose tokens in public code.  
+* **Permissions:** Ensure your token or service account has the required workspace and table permissions.
+* **Combine with AI:** Use query outputs to power models, summaries, or alerts in real time.
 
-1. Go to the **Integrations** section in your app settings by clicking **`@`** and then clicking the **Integrations** tab at the top.
-2. Click **Add Databricks Integration**.
-3. Fill in the fields using your credentials
-4. Save the integration. Your app can now access Databricks data securely.