Rowfire vs SQL alerts in a BI tool

Most BI tools, Metabase and Redash among them, can run a saved query on a schedule and send something to Slack or email when its result meets a condition. For many teams that’s the first SQL alert they set up, and for some questions it’s the right one. Rowfire answers a different question.

A result versus each row

A BI alert watches a result. “Revenue today is below X”, “the failed jobs count is above zero”, “here are this week’s churned accounts”. It runs the query, looks at what came back and notifies a person or a channel.

Rowfire acts on each row. A trigger’s rows are events: this charge was declined, this trial ends in three days and never activated. A rule fires an action for each new row, keyed by what counts as one thing, at most as often as it allows per key: once ever, once per day, week or month, or every nth time. The action can be a Slack message, a Zendesk ticket, a Braze event or a call to any REST API, built from that row’s columns.

	A BI tool’s alert	Rowfire
Unit	A query’s result	Each new row, by key
Typical output	A notification, often with the result	One request per row: message, ticket, event, API call
Duplicates	Depends on the tool’s alert options	A cadence per key, enforced by a send ledger
Destinations	What the tool supports	Slack, Zendesk, Braze, any REST API
Preview	Run the query	Backtest over past days, then shadow mode
Charts and totals	Yes	No

Where the BI alert wins

• Thresholds on aggregates. A count or a sum crossing a line is one notification, not one per row. That’s what BI alerts are built around.
• People who live in the dashboard. If the alert’s job is to bring someone back to a chart, keep it next to the chart.
• It already works. If it’s there and nobody is fighting duplicates, there’s nothing to move.

Where Rowfire wins

• Each row is a task. A ticket per customer whose trial stalled, a message per large refund. Each needs its own subject, requester and fields from the row, and a ticketing system rather than a notification.
• The same row keeps matching. A declined card stays declined until it’s fixed. With a key and a cadence, the account hears once a week, not on every run. In the demo, that turns 211 declined charges into 105 Zendesk tickets.
• More than a message. A row can start a Braze campaign or call your own API, and several rules can subscribe to one trigger, polled once.
• Checking before it sends. A backtest shows how many messages a rule would have sent and which rows, and shadow mode renders each request against live data without sending it.

Using both

They don’t compete for the same query. Keep “signups dropped 30% today” in the BI tool. Move “open a ticket for each account whose card was declined” to a trigger. See how to send a Slack alert from a SQL query and how to create Zendesk tickets from a SQL query for the steps.