Snowflake and Tray

Snowflake is the data cloud where teams store, transform, and query information across databases, schemas, and warehouses. But on its own, it isn’t built to coordinate actions across external systems or trigger workflows beyond data operations. Tray fills that gap. With Tray, query results, Snowpipe loads, and task runs can initiate automations and agents that update analytics tables, refresh pipelines, or sync downstream apps, writing outcomes back to Snowflake with accuracy and control.

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

Build

Build agents with Snowflake and Tray

Tray agents bring Snowflake data into the flow of work. Agents query scoped datasets, trigger governed actions, and write outcomes back to Snowflake tables and connected apps, all from chat or the web.

Ground answers in approved data, not guesswork.

  • Scope: Index selected schemas, views, and docs you authorize; or stay stateless and query live
  • Freshness: Re-ingest on a schedule; set retention windows
  • Linked knowledge: Optionally include data catalog notes and runbooks

Automations

Automations with Tray and Snowflake

Tray turns Snowflake activity into action. Query results, stream deltas, Snowpipe loads, and scheduled checks trigger flows that apply rules and approvals, then write outcomes back to Snowflake or connected systems. Status updates post to the right channels or records so owners can act, and every step stays traceable and auditable.

Integrations

Integrations with Tray and Snowflake

Tray connects Snowflake to the rest of your enterprise stack so data, queries, and events move with purpose. These integrations power the automations below and the tools your agents use, turning data flows into business actions across analytics, operations, and finance.

Snowflake integration capabilities

Integrate Snowflake with 700+ applications, plus any system with an API using Tray’s HTTP connector. These domains mirror Snowflake’s API and how teams actually work in Snowflake.

Turn SQL into action and make results visible everywhere

  • Submit & poll statements: Run queries via the SQL API; fetch status and results, including partitioned result sets
  • Parameterized runs: Pass safe inputs for repeatable transformations and checks
  • Long-running jobs: Execute asynchronously; retrieve results and post summaries where teams work
  • Result routing: Write outputs to tables, files, or downstream apps

Tray vs Snowflake Cortex Agents

Cortex Agents are Snowflake’s native agent option. If most of your processes and data live in Snowflake, Cortex Agents may fit. If you need a Snowflake agent that operates across the rest of your stack, Tray is the better choice.

Merlin Agent Builder

Act across Snowflake and 700+ external systems via connectors/HTTP; write back to Snowflake and third‑party apps

Scope to specific schemas/tables/views; refresh by scheduled queries or event triggers; store run context and results for reuse

Bring your own LLMs or use supported models; route by task

RBAC, approvals, audit logs across systems; guardrails on query patterns and row limits

Slack/Teams/web/HTTP; orchestrates multi-app workflows triggered by messages, schedulers, or webhooks

Independent platform that connects to Snowflake and other services

Snowflake Cortex Agents

Operate within a Snowflake account; primarily query/manipulate Snowflake data and registered tools

Grounded in Snowflake objects and functions registered to the agent; data remains inside Snowflake

Uses models hosted/managed by Snowflake for agent reasoning

Enforces Snowflake roles/policies; governance focused inside Snowflake

Runs within Snowflake context; surfaced through Snowflake interfaces or downstream apps wired to Snowflake

Requires Snowflake account and configuration

FAQs

Yes. Combine Snowflake streams (for change data) and tasks (for scheduling) with Tray triggers to run downstream workflows on data arrival. You can also check Snowpipe load history to confirm freshness before taking action.