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Databricks: Connect data, analytics, and AI across your enterprise stack
Databricks provides a unified platform for data, analytics, and AI. With Tray, Databricks jobs, queries, and audit logs can trigger automated workflows and agents that act across your ecosystem, keeping data products, pipelines, and downstream applications aligned in real time.
Databricks and Tray
Databricks combines 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 source knowledge from Databricks, apply rules and approvals, call external systems, and write results back to the right assets and applications.
Automations
Integrations
AgentsAutomations
Automations with Databricks and Tray
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 Databricks and Tray
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 and schemas: Align table and view grants with IDP groups
- Control permissions: Grant or revoke access for analytics and BI tools
- Sync ownership: Reflect ACL and role changes to downstream systems
- Register and share assets: Publish tables and views across workspaces or to external consumers
Agents
Build agents with Databricks and Tray
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
Frequently Asked Questions
Find answers to common questions about our products and services.
How does Tray authenticate to Databricks?
Tray connects to Databricks using a personal access token or OAuth where supported. Credentials are stored securely in Tray’s encrypted vault and scoped per workspace with least-privilege roles.
Can Tray read and write Unity Catalog assets?
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.
Are triggers real-time?
Tray supports event-driven flows when APIs or sources provide webhooks, and scheduled checks when they do not. For Databricks, flows can monitor recent Job runs, task statuses, or SQL results on a cadence and act when conditions are met.
How should we handle large SQL result sets?
Run queries asynchronously via the Statement Execution API, retrieve results in pages, and use Tray to store summaries in tables or files. Post digests or alerts to the teams that need them.
Can we enforce approvals and guardrails?
Yes. Add human approvals before warehouse changes, permission updates, or model promotions. Tray logs every action with inputs and outputs for audit and review.
How do we start small?
Start with one measurable outcome such as posting failed Job run details to Slack or opening an ITSM ticket. Add approvals, enrichment, and cross-system actions as you scale.
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.
What comes standard with Tray
Whether your systems, data, or models run in the cloud or on-premises, Tray connects them in one secure platform. Every connection, workflow, and agent operates under IT governance with encryption, audit logging, and access controls built in. Security teams can trust that all integrations comply with enterprise network and authentication policies.
Universal connectivity
- Prebuilt connectors: 700+ connectors plus a universal HTTP connector for any REST API
- Custom connectors: Build custom connectors that behave like native ones
- Connect anywhere: Cloud or on-prem systems supported
On-premises connectivity
- Connect securely: Access on-premises systems, whether first-party or third-party
- Meet network requirements: Connect through approved configurations that align with enterprise security policies
- Enterprise protocols: Support multiple on-premises security standards for safe integration
Authentication management
- Secure credentials: Collect and store authentications with full encryption
- Encrypted data: Protect all data at rest and in transit
- Role-based control: Partition credentials by workspace and access level
Security and governance
- Certified compliance: SOC 2 Type II, GDPR, CCPA, HIPAA
- End-to-end protection: Encryption, detailed audit logs, scoped connections, and OAuth scopes