72% of data quality issues are first reported by end users — not detected by monitoring.

Know before your users do.

Cross-stack monitoring for your BI and data stack.

Read-only access · No data leaves your stack · EU-hosted
Live incident feed
6 open
08:42 finance_daily_refresh refresh_failed Power BI
08:31 orders_stream_etl pipeline_failed ADF
08:17 transform-finance job_failed Databricks
07:54 dbt_invoice_models job_failed dbt Cloud
07:22 cx_weekly_snapshot refresh_delayed Power BI
06:50 silver.customer_dim refresh_delayed Databricks
06:18 fabric_sales_lakehouse job_failed Fabric
05:44 finance_dw_extract pipeline_failed ADF
08:42 finance_daily_refresh refresh_failed Power BI
08:31 orders_stream_etl pipeline_failed ADF
08:17 transform-finance job_failed Databricks
07:54 dbt_invoice_models job_failed dbt Cloud
07:22 cx_weekly_snapshot refresh_delayed Power BI
06:50 silver.customer_dim refresh_delayed Databricks
06:18 fabric_sales_lakehouse job_failed Fabric
05:44 finance_dw_extract pipeline_failed ADF

— Connects to —

Power BI
Tableau Cloud
Data Factory
Fabric
Databricks
dbt Cloud
dbt Core
Snowflake
Airflow
Qlik Cloud
One monitoring layer. Every system you run.

See the full chain — from source to dashboard.

Most monitoring stops at a single layer. Power BI doesn't know about your ADF pipeline. Databricks job failures don't surface in your Tableau workbooks or dashboards. MetricSign connects them — showing you every asset across your BI and data stack and where failures propagate.

Power BI Tableau Cloud Azure Data Factory Fabric Databricks dbt Snowflake Airflow Qlik Cloud
metricsign.app / chain / finance-nightly
Data Lineage
1 Incident MTTD 00:03:42
01Source
02Pipeline
03Model
04Report
orders_prod
PostgreSQL02:14
crm_api_v3
HTTP02:16
finance_dw
Snowflake02:18
ingest-orders-daily
ADFok · 1m 22s
!
transform-finance
Databricksfailed · 03:14
Sales Analytics
Power BIrefreshed 02:20
Finance Overview
Power BIStale 4h
Monthly Sales
Reportfresh
Executive KPIs
ReportStale 4h
Healthy flow
Path into incident
Stale downstream

Live pipeline intelligence — showing 1 incident detected across the chain. Root cause auto-traced upstream.

What the research says

Your users find data problems before you do.

Independent research consistently shows the same pattern: slow detection, complex pipelines, and teams that spend more time firefighting than building.

0%

take four or more hours to detect a data quality incident

Monte Carlo × Wakefield Research, 2023
0%

rate pipeline management as somewhat or extremely complex

Matillion × Perspectus Global, 2025
0%

report heavier workloads despite AI tools

MIT Technology Review × Snowflake, 2025
0%

cite data quality as their top ongoing challenge

dbt Labs, 2025 (n=459)

MetricSign detects issues across your full data and BI stack — before your users do.

How it works

MetricSign reads the error for you and tells you what broke, why, and how to fix it.

From incident to resolution in three steps.

01 · Identification

Chain Detector

What is wrong?

MetricSign checks your entire BI and data stack every five minutes. Failed refreshes, slow jobs, schema changes, delayed pipelines — detected and classified automatically. No manual checks. No morning surprises.

refresh_failed refresh_delayed pipeline_failed job_failed
0%
of data quality issues are found by business stakeholders before the data team does.
Monte Carlo × Wakefield Research, 2023
app.metricsign.com/incidents
All 6
Open 3
Resolved
TimeAssetEventSourceAge
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
app.metricsign.com/chain
orders_prod
PostgreSQL · Source database
Failed
transform-finance
Databricks · caused by: orders_prod
Degraded
Finance Overview
Power BI · dataset
Stale
Executive KPIs
Power BI · report
Stale
02 · Root Cause

Root Cause Navigator

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 or Tableau workbook, through Databricks jobs and ADF pipelines, all the way to the data source — and shows you the entire chain.

source → pipeline → model → report auto-discovered
03 · Resolution

Fix Translator

How do I fix it?

Most monitoring stops at the platform error. MetricSign goes one layer deeper — it also extracts the upstream database error nested inside it. SQLSTATE codes, SQL Server state codes, deadlock victims. So you see the real root cause without opening five tools.

Before — raw error
DM_GWPipeline_Gateway_ADFActivityFailure
After — plain language
Your ADF linked service lost its managed identity. Reassign it in the Azure Portal — see step-by-step below.
Error code translation Step-by-step resolution Cross-platform native
app.metricsign.com/fix
Fix tab — orders_stream_etl
ADF · pipeline_failed · detected 08:31
Error code
DM_GWPipeline_Gateway_ADFActivityFailure (0x80131904)
1
Open Azure Portal → Data Factory → Linked Services and locate the failing linked service.
2
Navigate to Managed Identity and verify the identity is assigned. If missing, re-assign or recreate it.
3
Re-run the pipeline trigger. Check the Monitor → Pipeline runs tab to confirm recovery.
— Why another monitoring tool

The coverage gap no one is filling.

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 01
Native platform alerts (Power BI, ADF, Databricks)
Each tool reports its own status in isolation. A Power BI refresh failure doesn't know about the ADF pipeline that caused it.
Approach 02
Data quality tests (dbt tests, Great Expectations)
Validate data content, not pipeline reliability. Tests can pass while the dashboard is stale or missing entirely.
Approach 03
Dedicated observability platforms
Warehouse-layer focus with connector coverage that varies. Annual contracts typically start above $20K, with multi-week implementation.
Approach ADF Fabric Databricks dbt Power BI Airflow Qlik
Native platform alerts
Data quality tests
Dedicated observability
MetricSign
Where MetricSign fits

MetricSign is built for the gap: cross-platform coverage from source systems through pipelines to BI dashboards, at a price point calibrated for mid-market teams — not just enterprises.

Security

Metadata only. Your data never leaves your stack.

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.

01
Metadata only

We process operational metadata only. Your datasets, rows, and business logic never touch our infrastructure.

02
Platform-native auth

Each connector uses its own platform OAuth. No separate credentials to manage. Revoke access at any time.

03
EU-hosted

All metadata stored in EU data centers. GDPR compliant by design.

04
SOC 2 in progress

Audit controls in place. Certification process underway.

— Integrations

Connects to your data stack.

Native platform authentication. No proxy, no agents, no performance overhead.

Power BI datasets · reports · gateways
Tableau Cloud workbooks · datasources · flows
Data Factory pipelines · activities
Databricks jobs · workflows
Fabric pipelines · dataflows
dbt Cloud jobs · runs · lineage
dbt Core CI/CD webhook · lineage
Snowflake queries · usage · lineage
Airflow DAGs · task runs · alerts
Qlik Cloud apps · reload tasks · spaces

Database errors from SQL Server, PostgreSQL, MySQL and Oracle are parsed when surfaced via ADF — no separate connector required.

Don't see your tool? Request a connector →

Ready for continuous monitoring?

Bring your admin on board.

OAuth gets you started in minutes. For continuous monitoring in production, MetricSign connects via a service principal — a standard 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.

— Pricing

One price. Your entire stack.

Unlimited workspaces, dashboards and users — across every platform. All features included. No per-seat pricing.

Free · 45-day trial
€0
No credit card required
  • Everything in Pro — for 45 days
  • All connectors, all platforms
  • Unlimited workspaces & users
  • No credit card during trial
Start free →
Enterprise
Custom
Tailored contract
  • Everything in Pro
  • SSO / SAML
  • On-premise / self-hosted
  • Private database access
  • Audit log & security review
  • Invoice / PO billing
Contact sales →

All features included  ·  No feature tiers  ·  No per-seat pricing  ·  No usage penalties

FAQ

Frequently asked questions.

Cross-stack monitoring for your entire BI and data stack — Power BI, Tableau Cloud, ADF, Databricks, dbt, Snowflake, Airflow, Qlik Cloud and more. 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.

Power BI, Tableau Cloud, Azure Data Factory, Microsoft Fabric, Databricks, dbt, Snowflake, Apache Airflow, and Qlik Cloud. Start free with one connector and add more as you need them — each takes a few minutes to set up.

Monte Carlo and Acceldata focus on data quality within a warehouse. MetricSign focuses on the execution chain — from the data source through pipelines, transformation layers, and Tableau or Power BI to the dashboard.

It also translates platform-specific error codes into actionable fixes. Whether your stack is Microsoft-first, Tableau-based, or a mix — MetricSign speaks its language. 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.

Create an account, pick your first connector, and enter the credentials — most teams are monitoring within five minutes. Power BI and Fabric connect via Microsoft OAuth in a single click. Airflow, Qlik Cloud, Databricks, and others use API tokens or service credentials you paste once in Settings.

No agent installation, no infrastructure changes, no firewall rules. Add or remove connectors any time from Settings → Connectors.

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.

MetricSign is €299/month per organization — all connectors, unlimited workspaces, unlimited users. One price covers your entire stack, with no feature tiers or per-seat fees.

Start with a free 45-day trial, no credit card required. See the pricing page for detail.