Solutions by app
Snowflake centralizes data across databases, schemas, and warehouses. Tray connects Snowflake to the rest of your stack so query results, Snowpipe loads, and task signals drive governed workflows, with outcomes written back to Snowflake and downstream systems.
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.
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.
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.
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.
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.
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.
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
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
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.