Monitor dbt & Snowflake.
Fix Failures with AI.
Pipelingo plugs into dbt (Core or Cloud) and Snowflake to give your whole team real-time pipeline health, Claude-powered root-cause analysis, blast-radius lineage, and alerts your stakeholders actually understand.
Everything you need to keep pipelines healthy
Works with dbt Core, dbt Cloud, and Snowflake. Multi-tenant via row-level security — every pipeline and alert scoped to your org.
Triage Dashboard
Failed and at-risk pipelines surface at the top. One-click "Mark Resolved" for known transient issues — auto-rearms if the same pipeline fails again.
AI Failure Analysis
The moment a pipeline fails, Claude reads the logs and writes up the root cause, suspected SQL line, and a suggested fix. Engineer view and stakeholder view, side by side.
Blast-Radius Lineage
Click a failed model to instantly see every downstream table, report, and dashboard it affects — before someone asks you in Slack.
Smart Alerting
Slack and email alerts on state transitions, with per-pipeline subscriptions, quiet hours, and a daily digest so the 2 a.m. schema drift doesn't page anyone.
Up and running in 3 steps
Create an account
Sign up with email and password, then invite your team. No credit card required.
Connect dbt or Snowflake
Upload a manifest.json, paste a dbt Cloud API token, or drop in Snowflake credentials. We test it instantly.
Monitor & get alerts
Pipelines, lineage, and health scores appear on the dashboard. Configure alerts, quiet hours, and a daily digest.
What we're building next
Pipelingo started from a simple frustration: every time a pipeline breaks, data engineers spend just as much time explaining the failure as fixing it. The features below are the next layer — taking us from "tells you what broke" to "ships the fix and prevents it from breaking again."
Auto-Generated Docs
AI-generated documentation for every pipeline and dbt model — always up to date, never stale.
Cost Attribution
Know exactly how many Snowflake credits each dbt model consumes per run, per month. Catch expensive queries before they drain your budget.
Failure Memory
Every fix you merge teaches the platform. After 6 months, AI handles 60% of common failure patterns autonomously — your data team gets quieter, not noisier, as it grows.
About Covenant Data Solutions
Built by data engineers who got tired of the same broken workflow: pipeline fails, engineer investigates, engineer explains the failure to five different people, engineer fixes, repeat tomorrow. Pipelingo is the tool we wished we had — for engineers and the stakeholders who depend on them.
Stop guessing why your pipelines fail.
Let AI handle the debugging so you can focus on building.
Get Started Free