Redshift and Tray

Amazon Redshift is AWS’s cloud data warehouse that centralizes analytics across clusters, databases, and schemas. But on its own, it isn’t built to coordinate actions beyond the warehouse—like triggering workflows, enforcing approvals, or syncing downstream systems. Tray fills that gap with integrations, automations, and agents that execute SQL through the Data API, orchestrate COPY and UNLOAD with S3, refresh materialized views on schedule, and route results to the tools your teams use. All writes back to Redshift remain scoped, logged, and auditable.

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

Build

Build agents with Tray and Redshift

Tray agents turn Redshift insights into action. They query scoped warehouse data, apply business rules, and drive updates across Redshift and connected systems, so teams can ask questions, take action, and see results in one continuous flow. By pairing Redshift’s analytics with Tray’s orchestration, agents help teams respond to data in real time, not after the next ETL run.

Give agents the Redshift context they need to respond accurately.

  • Scope: Limit access to approved databases, schemas, tables, and views; run only safe SELECT statements
  • Freshness: Schedule queries or read from refreshed materialized views; use windowed pulls for delta
  • Access controls: Filter access by workspace, environment, or role

Automations

Automations with Tray and Redshift

Tray turns Redshift activity into action. Scheduled checks, Data API results, and new files in S3 can all trigger flows that apply your rules and approvals, then write outcomes back to Redshift and connected tools with full traceability. Status updates reach the right teams with links to queries, objects, and dashboards. These automations run on the integrations below and can also power agent tools for interactive workflows.

Integrations

Integrations with Tray and Redshift

Tray connects Redshift to the rest of your enterprise stack so warehouse events, queries, and file operations trigger business actions across analytics, operations, and finance. These integrations keep your data ecosystem in sync, powering the automations above and the tools your agents use.

Redshift integration capabilities

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

Run analytics, refresh views, and share results automatically

  • Execute parameterized SQL via the Data API; track status and collect results
  • Refresh materialized views before downstream reads and manage dependencies
  • Post summaries to channels or records; attach CSV or Parquet exports where needed
  • Prevent job overlap, pass run IDs, and manage retries safely

FAQs

Redshift doesn’t provide native webhooks. Instead, use scheduled queries, materialized view checks, or S3 object detection to create near-real-time event patterns for your workflows.