Domo + Snowflake
Connect Domo and Snowflake for Real-Time Business Intelligence
Automate data flows between your cloud data warehouse and BI platform to keep dashboards accurate, decisions fast, and teams working from the same numbers.
Why integrate Domo and Snowflake?
Domo and Snowflake do different jobs well. Snowflake is where your governed, scalable data lives. Domo is where business stakeholders go to understand it. Together they should work well — but without a proper integration, they don't. Data goes stale, analysts spend their mornings on exports instead of analysis, and the dashboards executives rely on lag behind reality. Connecting Domo and Snowflake through tray.ai means the right data moves between these platforms at the right time, without custom engineering or scripts that break the moment something changes.
Automate & integrate Domo & Snowflake
Use case
Automated Snowflake-to-Domo Dataset Refresh
Automatically push updated query results from Snowflake into Domo datasets on a defined schedule or when new data lands in a Snowflake table. Analysts don't have to manually trigger exports or babysit cron jobs. Business stakeholders see data that actually reflects what's in the warehouse.
Use case
Domo Alert-Triggered Snowflake Queries
When a Domo alert fires — say, a KPI crosses a threshold — automatically trigger a targeted Snowflake query to pull deeper context and write the results back into a Domo dataset for drill-down analysis. Business signals drive warehouse queries without anyone filing a data request. Teams can investigate anomalies without leaving Domo or waiting on data engineers.
Use case
Centralized Sales and Revenue Reporting
Aggregate CRM, billing, and transactional data from Snowflake into structured Domo datasets to power executive revenue dashboards, sales pipeline views, and quarterly performance reports. Finance and sales ops get consistent, governed metrics without reconciling spreadsheets. One source of truth, fewer arguments about whose numbers are right.
Use case
Customer 360 Dashboard Automation
Pull customer behavior, subscription, support, and product usage data from Snowflake and consolidate it into Domo datasets that power Customer 360 dashboards for success, marketing, and product teams. Tray.ai handles the scheduled extraction and transformation of multi-source Snowflake data so Domo always shows a complete, current view of each customer segment. Customer-facing teams get the data they need without waiting on engineering.
Use case
Operational Metrics and SLA Monitoring
Automatically route operational KPIs — fulfillment rates, uptime metrics, SLA compliance data — from Snowflake into Domo to power real-time operational dashboards. Tray.ai can trigger these pipelines on a defined cadence or when specific Snowflake events occur, like a new batch load completing. Operations managers get live visibility into business performance without opening a data engineering ticket.
Use case
Marketing Analytics Automation
Consolidate multi-channel marketing data stored in Snowflake — ad spend, campaign performance, attribution models — into Domo datasets that feed marketing dashboards and ROI reports. Tray.ai automates this flow so marketing teams can drop the weekly ritual of pulling reports and focus on optimization instead. CMOs and growth teams always have the latest spend and performance data.
Use case
Data Governance and Audit Trail Synchronization
Automatically log Domo dataset access events, report exports, and user activity into Snowflake for long-term retention, compliance auditing, and governance reporting. Tray.ai captures Domo activity webhooks or API events and writes structured records into designated Snowflake tables, giving security and compliance teams a clean, queryable audit trail. No manual log exports required.
Get started with Domo & Snowflake integration today
Domo & Snowflake Challenges
What challenges are there when working with Domo & Snowflake and how will using Tray.ai help?
Challenge
Keeping Domo Dashboards in Sync with Rapidly Changing Snowflake Data
Snowflake tables can be updated frequently by multiple upstream pipelines, making it hard to know when to trigger a Domo dataset refresh without over-querying the warehouse or serving stale dashboards.
How Tray.ai Can Help:
Tray.ai supports event-driven and scheduled triggers, so teams can tie refresh logic to actual warehouse readiness — like polling a Snowflake metadata table for load completion events — instead of guessing with a fixed timer.
Challenge
Handling Large Query Result Sets Between Snowflake and Domo
Snowflake queries can return millions of rows, and pushing large datasets into Domo via API can hit payload limits, cause timeouts, or create memory bottlenecks.
How Tray.ai Can Help:
Tray.ai handles paginated data and chunked record processing, streaming large Snowflake result sets into Domo in batches without hitting API limits or crashing workflows. Built-in retry logic handles transient errors automatically.
Challenge
Schema Drift and Column Mapping Mismatches
As Snowflake table schemas evolve — columns added, renamed, or removed — hardcoded mappings to Domo datasets break silently, leading to missing data, dashboard errors, or failed loads that are hard to track down.
How Tray.ai Can Help:
Tray.ai supports dynamic field mapping and data transformation within workflows, so teams can build flexible schema adapters that tolerate additive changes. Alerting steps notify data engineers immediately when unexpected schema changes appear.
Challenge
Authentication and Credential Management at Scale
Managing Snowflake service account credentials, warehouse permissions, and Domo API tokens across multiple integration workflows creates security risks and operational overhead, especially in enterprise environments with strict access controls.
How Tray.ai Can Help:
Tray.ai centralizes credential management through a secure authentication store, so teams can manage Snowflake and Domo credentials in one place with role-based access. When it's time to rotate credentials, you do it once — no touching individual workflow configurations.
Challenge
Monitoring, Alerting, and Debugging Failed Data Pipelines
When a Snowflake-to-Domo pipeline fails silently — due to a query timeout, API rate limit, or schema mismatch — business stakeholders may not notice until dashboards are already showing stale or incomplete data, which erodes trust fast.
How Tray.ai Can Help:
Tray.ai provides built-in execution logs, step-level error visibility, and configurable alerting so data teams know immediately when any part of a Snowflake-Domo pipeline fails. Detailed error context cuts mean time to resolution and keeps critical dashboards on schedule.
Start using our pre-built Domo & Snowflake templates today
Start from scratch or use one of our pre-built Domo & Snowflake templates to quickly solve your most common use cases.
Domo & Snowflake Templates
Find pre-built Domo & Snowflake solutions for common use cases
Template
Scheduled Snowflake Query to Domo Dataset Sync
On a configurable schedule, this template executes a Snowflake SQL query, formats the results, and upserts them into a target Domo dataset — keeping dashboards current with no manual intervention.
Steps:
- Trigger workflow on a defined schedule (hourly, daily, or custom cron)
- Execute parameterized SQL query against the target Snowflake table or view
- Transform and map query results to the Domo dataset schema
- Upsert records into the Domo dataset via Domo's Streams or Dataset API
- Send a Slack or email notification confirming successful sync or reporting errors
Connectors Used: Snowflake, Domo
Template
Domo KPI Alert to Snowflake Drill-Down Query
When a Domo alert fires on a KPI threshold breach, this template automatically runs a Snowflake query to retrieve detailed supporting data and writes the results back to a Domo dataset for immediate analyst review.
Steps:
- Receive Domo alert webhook when a KPI crosses a defined threshold
- Parse alert metadata to identify the relevant Snowflake table and time range
- Execute a targeted Snowflake query scoped to the alert context
- Write drill-down results back into a designated Domo dataset
- Notify the responsible analyst or team via email or messaging app
Connectors Used: Domo, Snowflake
Template
New Snowflake Table Load to Domo Dataset Refresh
Detects when a new data load completes in Snowflake — via a completion flag or metadata table update — and automatically triggers a full or incremental refresh of the corresponding Domo dataset.
Steps:
- Poll a Snowflake metadata or audit table for new load completion events
- Identify the dataset name and schema associated with the completed load
- Fetch updated records from Snowflake using an incremental or full query
- Push data to the mapped Domo dataset and trigger a dataset refresh
- Log sync status and timestamp back to Snowflake for audit purposes
Connectors Used: Snowflake, Domo
Template
Domo User Activity Audit Log to Snowflake
Periodically collects user activity and dataset access events from the Domo API and writes structured audit records into a Snowflake table for governance, compliance, and security monitoring.
Steps:
- Trigger workflow on a scheduled interval (e.g., every 6 hours)
- Call Domo's Activity Log API to retrieve recent user and dataset events
- Normalize and deduplicate event records into a consistent schema
- Insert audit records into the designated Snowflake governance table
- Alert the data governance team if anomalous access patterns are detected
Connectors Used: Domo, Snowflake
Template
Multi-Source Snowflake Aggregation to Customer Dashboard
Joins and aggregates data from multiple Snowflake tables representing different customer data sources and delivers a unified, dashboard-ready dataset into Domo for Customer 360 reporting.
Steps:
- Trigger on schedule or on completion of upstream Snowflake ETL jobs
- Execute a multi-table JOIN or aggregation query across Snowflake schemas
- Apply business logic transformations within the tray.ai workflow
- Create or update the target Domo dataset with the aggregated customer records
- Notify customer success or product leads that the dashboard has been refreshed
Connectors Used: Snowflake, Domo
Template
Marketing Performance Data Pipeline: Snowflake to Domo
Automates the daily transfer of marketing attribution, campaign spend, and channel performance data from Snowflake into Domo datasets that power CMO and growth team dashboards.
Steps:
- Trigger workflow each morning before business hours
- Query Snowflake for the previous day's marketing spend and performance metrics
- Enrich data with calculated fields such as CPA, ROAS, and conversion rate
- Upsert enriched records into the Domo marketing performance dataset
- Send a daily digest summary to the marketing leadership Slack channel
Connectors Used: Snowflake, Domo