Databricks integration services
Databricks is a data intelligence platform combining a lakehouse architecture, Spark-based processing, Delta Lake and machine learning tooling. Companies integrate Databricks to unify operational data from ERP, CRM, eCommerce and support systems for analytics and ML, and to serve models and features back into business applications. AIONDATA builds on Lakeflow Connect, Auto Loader, Delta Live Tables, Databricks SQL, the REST API and Unity Catalog governance.
California-based leadership · Serving US and international teams
AI agent access
Databricks and AI assistants (MCP)
Official MCP server: in preview. Databricks managed MCP servers (Unity Catalog functions, AI Search, Genie, SQL) are in Public Preview per workspace; the Genie One MCP service is generally available.
Besides syncing Databricks with your other systems, we can give Claude, ChatGPT or Microsoft Copilot controlled access to it through an MCP server: read-only tools first, write actions with approval steps, and every call logged.
Status checked September 26, 2026.
Popular Databricks integrations
Ready-to-scope pairs with Databricks on one side.
Databricks integration FAQs
How do you get data from SaaS and ERP systems into Databricks?
We use Lakeflow Connect managed connectors where they cover the source, Auto Loader for files landing in cloud storage, and custom extractors for APIs such as Shopify, NetSuite or Zendesk. Everything lands in Delta tables under Unity Catalog with lineage, and transformations run as Delta Live Tables or scheduled Jobs.
Can Databricks models feed our operational systems?
Yes. Models registered in Unity Catalog can be served via Model Serving endpoints for real-time scoring, or batch predictions can be written back to the CRM, ERP or commerce platform through a sync service. We include monitoring so drift or failed writes are caught early.
Can AI agents access Databricks data?
Yes. AIONDATA can expose Databricks to AI agents through a custom MCP server that runs governed queries against SQL warehouses, reads Unity Catalog metadata, and calls served models. Permissions follow Unity Catalog grants so agents see only what the calling user is allowed to see.
Do you work with Databricks on AWS, Azure and Google Cloud?
Yes. The platform is largely consistent across clouds, and we adapt storage, networking and identity integration to each. For Azure customers we frequently combine Databricks with Dynamics 365 and Microsoft Fabric; on AWS we often pair it with S3-based data lakes.
Need Databricks connected to something?
Tell us the other system and what needs to flow between them. You'll get an honest scope and timeline.
Please share the systems and workflow—not credentials or customer records. We’ll confirm API access, scope and next steps.
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About the program
Bay Area roots. Enterprise experience.
Pravin’s experience includes Google and SmartBear. Sravan previously held leadership roles at JPMorgan Chase and First Republic Bank.
Meet the foundersSan Francisco Bay Area, California
9110 Alcosta Blvd Ste H345, San Ramon, CA 94583
US-led delivery, with engineering in India. Supporting US and international organizations.