---
title: "Automate Data & KPI Monitoring with SQL Alerts"
description: "Databricks SQL Alerts is generally available as an automated alternative to manually checking dashboards and rerunning monitoring queries for business KPIs, pipeline health, and data quality. Teams define a SQL query, evaluation condition, schedule, and notification destinations, then receive alerts when results cross configured guardrails; standalone alerts can also run within Lakeflow Jobs. GA supports authoring in the SQL editor, notifications through email, Slack, PagerDuty, Microsoft Teams, or webhooks, and production management through Git, Declarative Automation Bundles, APIs, Terraform, and SDKs. The post’s revenue example compares yesterday’s result with a seven-day average and triggers when revenue_pct_change is below -5%, while the SQL Alert task can expose OK, TRIGGERED, or ERROR to downstream pipeline logic."
---

# Automate Data & KPI Monitoring with SQL Alerts

[Databricks](https://yomu.fyi/company/databricks) · Srilekha Dornadula · May 19, 2026

**Type:** Announcement

## Summary

Databricks SQL Alerts is generally available as an automated alternative to manually checking dashboards and rerunning monitoring queries for business KPIs, pipeline health, and data quality. Teams define a SQL query, evaluation condition, schedule, and notification destinations, then receive alerts when results cross configured guardrails; standalone alerts can also run within Lakeflow Jobs. GA supports authoring in the SQL editor, notifications through email, Slack, PagerDuty, Microsoft Teams, or webhooks, and production management through Git, Declarative Automation Bundles, APIs, Terraform, and SDKs. The post’s revenue example compares yesterday’s result with a seven-day average and triggers when revenue\_pct\_change is below -5%, while the SQL Alert task can expose OK, TRIGGERED, or ERROR to downstream pipeline logic.

## Context

Manual monitoring often requires teams to open dashboards, rerun queries, and scan for anomalies. The source says this approach can allow incorrect metrics to persist for hours or days, does not scale across teams, environments, or production workloads, and increases monitoring costs.

## Approach / What changed

SQL Alerts package a SQL query, evaluation condition, schedule, and notification destinations into automated checks. They can run independently or as tasks inside Lakeflow Jobs, notify recipients through configured channels, and be managed as production code with Git, Declarative Automation Bundles, APIs, Terraform, and SDKs.

## Takeaways

- A SQL Alert can compare yesterday’s revenue with a seven-day average and trigger when revenue\_pct\_change is below -5%.
- The SQL Alert task in Lakeflow Jobs exposes OK, TRIGGERED, or ERROR as an output that downstream If/Else logic can reference.
- Alerts can notify through email, Slack, PagerDuty, Microsoft Teams, or webhooks, with templates that include evaluation history.

**Tags:** [Data Quality](https://yomu.fyi/topic/data-quality), [Lakeflow](https://yomu.fyi/topic/lakeflow), [Monitoring](https://yomu.fyi/topic/monitoring), [SQL](https://yomu.fyi/topic/sql)

- Source: [Databricks](https://www.databricks.com/blog/automate-data-kpi-monitoring-sql-alerts)
- Source URL: https://www.databricks.com/blog/automate-data-kpi-monitoring-sql-alerts
- Ingested by Yomu: 2026-08-31T03:33:57.742Z

[Read original post](https://www.databricks.com/blog/automate-data-kpi-monitoring-sql-alerts)