Databricks and Tray

Databricks is a unified platform for data, analytics, and AI, combining the lakehouse architecture, Unity Catalog for governance, SQL Warehouses for analytics, and Jobs and Workflows for orchestration. On its own, it doesn’t coordinate cross-application actions or human approvals. Tray fills that gap with integrations, automations, and agents that read from Databricks, apply rules and approvals, call external systems, and write results back to the right assets and applications.

With Tray, you can
Build agents
 that can take action, create powerful
Automations
, and set up
Integrations
.

Build

Build agents with Tray and Databricks

Tray agents turn Databricks insights into action. They analyze live data, apply your business logic, and drive updates across Databricks and connected systems, so decisions move as fast as your data. By pairing Databricks’ unified platform with Tray’s orchestration, agents give teams a real-time bridge between analytics, operations, and AI workflows.

Give agents the Databricks context they need to act intelligently.

  • Scope: Unity Catalog objects you approve (catalogs, schemas, tables), plus Job metadata, run status, and outputs
  • Freshness: Fetch on demand or refresh on a schedule; pull SQL results live when needed
  • Access controls: Limit access by workspace, role, or project

Automations

Automations with Tray and Databricks

Tray turns Databricks activity into action. Job status, SQL results, scheduled checks, and catalog changes can all trigger flows that apply business rules and approvals, then write outcomes back to Databricks or connected systems with full audit trails. Status updates reach the right teams with links to runs, queries, and assets. These automations run on the integrations below and can also power agent tools for interactive workflows.

Integrations

Integrations with Tray and Databricks

Tray connects Databricks with the rest of your enterprise stack so signals from jobs, queries, and catalog changes drive coordinated actions across analytics, operations, and AI workflows. These integrations turn Databricks into a system of action, powering the automations above and the tools your agents use.

Databricks integration capabilities

Integrate Databricks with 700+ applications, plus any system with an API using Tray’s HTTP connector. Capabilities align with Databricks’ APIs and how teams actually work.

Manage governed data objects and access

  • Manage catalogs, schemas, and tables; align grants with IdP groups
  • Grant or revoke table and view access for analytics and BI tools
  • Reflect ACL and ownership changes to downstream systems
  • Register and share assets across workspaces or external consumers

FAQs

Yes. Within the permissions of your Databricks token, Tray can list and manage catalogs, schemas, tables, and grants through the Unity Catalog API. All operations respect existing governance policies and access controls.