Product updates, engineering deep-dives, and practical guides for data teams.
Scheduled reports are great for regular cadences. But what about when you need to react immediately — a failed payment, a new high-value order, an inventory threshold breach? That's what Watches are for.
Read article →Every few years, someone announces that SQL is dead. But when you look at the data teams shipping the most reliable reports, they're almost universally using SQL — not drag-and-drop builders, not Python scripts, not low-code workflows.
Read article →The pitch for self-hosted software is always the same: full control, your data stays on-prem. The catch is usually the ops burden — servers to provision, upgrades to manage, dependencies to maintain. DataRunner Enterprise ships as a single Native AOT binary that changes that equation.
Read article →Not every SQL query makes a good automated report. After working with dozens of data teams, we've noticed the same patterns coming up again and again in the reports that actually get read and acted on.
Read article →If your reporting infrastructure looks like a collection of bash scripts, Python cron jobs, and email send functions scattered across a server somewhere, you're not alone. Here's how to migrate without breaking anything.
Read article →Email is reliable but passive. Slack is where your team already lives. Routing the right reports to the right Slack channels — with the right amount of detail — turns data from something people have to go find into something that arrives in their workflow automatically.
Read article →