Cross-stack monitoring for the Microsoft Azure data stack.
— Connects to —
Most monitoring stops at a single layer. Native Power BI alerts don't know about your ADF pipeline. Databricks job failures don't surface in your dashboard refresh logs. MetricSign connects them — showing you every asset across your Azure data stack and where failures propagate.
Live pipeline intelligence — showing 1 incident detected across the chain. Root cause auto-traced upstream.
Independent research consistently shows the same pattern: slow detection, complex pipelines, and teams that spend more time firefighting than building.
take four or more hours to detect a data quality incident
rate pipeline management as somewhat or extremely complex
report heavier workloads despite AI tools
cite data quality as their top ongoing challenge
MetricSign detects issues across your full Azure stack — before your users do.
MetricSign reads the error for you and tells you what broke, why, and how to fix it.
What is wrong?
MetricSign checks your entire Azure data stack every five minutes. Failed refreshes, slow jobs, schema changes, delayed pipelines — detected and classified automatically. No manual checks. No morning surprises.
| Time | Asset | Event | Source | Age |
|---|---|---|---|---|
| 08:42 | finance_daily_refresh | refresh_failed | Power BI | 2m |
| 08:31 | orders_stream_etl | pipeline_failed | ADF | 13m |
| 07:54 | dbt_invoice_models | job_failed | dbt | 50m |
| 07:22 | cx_weekly_snapshot | refresh_delayed | Power BI | 1h |
| 06:50 | silver.customer_dim | refresh_delayed | Databricks | 2h |
| 06:18 | fabric_sales_lakehouse | job_failed | Fabric | 2h |
Where did it start?
When a dashboard fails, the real problem is usually upstream. MetricSign traces the failure back through your pipeline — from Power BI dataset to Databricks job to ADF pipeline to data source — and shows you the entire chain.
How do I fix it?
Most monitoring tools stop at the alert. MetricSign doesn't. Every incident ships with a Fix tab — 818 Microsoft error codes translated into plain-language resolution steps, specific to the failing asset and the detected error type. No more searching forums for cryptic error messages at 9 in the morning.
Every data team already has some form of monitoring. Most teams have several. None of them cover the full picture — and that's the actual problem.
| Approach | ADF | Fabric | Databricks | dbt | Power BI |
|---|---|---|---|---|---|
| Native platform alerts | ◐ | ◐ | ◐ | — | ◐ |
| Data quality tests | — | — | ◐ | ◐ | — |
| Dedicated observability | ◐ | ◐ | ● | ● | — |
| MetricSign | ● | ● | ● | ● | ● |
MetricSign is built for the gap: cross-platform coverage from the Azure source systems through to the Power BI dashboard, at a price point calibrated for mid-market teams — not just enterprises.
MetricSign reads metadata about your pipeline runs — job status, schemas, refresh times, lineage relations. The actual data content stays where it is. We never read it, copy it, or store it.
We process operational metadata only. Your datasets, rows, and business logic never touch our infrastructure.
Sign in with your Microsoft account. No separate credentials. Revoke access instantly at the tenant level, any time.
All metadata stored in EU data centers. GDPR compliant by design.
Audit controls in place. Certification process underway.
Service principal authentication. No proxy, no agents, no performance overhead.
Don't see your tool? Request a connector →
OAuth gets you started in minutes. For continuous monitoring in production, MetricSign connects via a service principal — a standard Azure pattern that requires admin approval.
Don't have admin rights yourself? Send the setup request directly from your MetricSign account. Your admin gets a concise brief: what MetricSign does, what permissions it needs, why metadata-only access is safe. One click to approve.
[Your name] from [team] is requesting MetricSign access for pipeline monitoring across Azure Data Factory, Fabric, Databricks, and Power BI.
Permissions requested:
Free forever for Power BI monitoring. Add cross-stack connectors when you outgrow it.
Early access pricing. Founding customers lock in their rate for the lifetime of their subscription.
Cross-stack monitoring for the Microsoft Azure data stack — from ADF to Power BI. MetricSign detects failures anywhere in your chain, traces them back to the root cause, and translates error codes into plain-language fixes.
It is built for BI developers and analytics engineers who need to know about pipeline failures before their stakeholders do.
Azure Data Factory, Microsoft Fabric pipelines, Databricks jobs, dbt models, and Power BI datasets and refreshes. Snowflake as an external source is supported.
Add connectors as you need them — start free with Power BI only. Extending to ADF, Fabric, or Databricks takes a few minutes each.
Monte Carlo and Acceldata focus on data quality within a warehouse. MetricSign focuses on the Microsoft Azure execution chain — from the data source through ADF, Fabric, and Databricks to the Power BI dashboard.
It also translates Microsoft-specific error codes into actionable fixes. If your stack is Azure-first, MetricSign speaks its language natively. Most observability platforms do not.
No. MetricSign reads metadata only — pipeline statuses, refresh logs, schema definitions, error messages. No row-level data ever leaves your tenant. Your datasets, rows, and business logic never touch our infrastructure.
Our infrastructure is EU-hosted. Revoke access instantly at the tenant level, any time.
Sign in with your Microsoft account, grant tenant read access, and you are monitoring your Power BI workspace within two minutes. Adding ADF, Fabric, or Databricks connectors takes a few more minutes each.
No agent installation, no infrastructure changes, no separate credentials to manage.
Chain Detector picks up the failure within five minutes and classifies it. Root Cause Navigator traces back through the chain to find where it started — often upstream in ADF or dbt.
Fix Translator then reads the specific error code and gives you a plain-language resolution path, specific to the failing asset and detected error type.
Partially. If your on-premises sources feed into Azure services via gateway or linked service, MetricSign monitors the Azure side of that chain and surfaces gateway-related failures.
Full on-premises monitoring is on the roadmap.
Free forever for one Power BI workspace, including the Fix tab and incident management. Paid tiers add cross-stack connectors, team management, and longer history.
Early access pricing is locked for the lifetime of the subscription for founding customers. See the pricing page for detail.