Products / Data Observability

Enterprise Data Observability

Catch broken data before your business does. Continuous monitoring across pipelines, warehouses, and BI — with the lineage and context to fix problems fast.

Overview

Trust Your Data, Continuously

When pipelines silently break, dashboards mislead, and AI models drift on stale features, the cost is invisible — until it isn't. Apptad Enterprise Data Observability watches your full stack continuously, surfaces anomalies before they cascade, and gives data teams the lineage and context to resolve issues in minutes, not days.

500+
Sources Monitored
90%
Faster MTTR
70%
Fewer Incidents
SOC 2
Type II
Data observability dashboard
What It Does

Five Pillars of Data Health, Out of the Box

Built on the proven five-pillar observability model — freshness, volume, schema, distribution, and lineage — and extended with AI-powered anomaly detection that learns your data's normal patterns and alerts on what truly matters.

Continuous Monitoring

Freshness, volume, schema, and distribution checks running 24/7 across every critical dataset.

AI Anomaly Detection

ML models learn your seasonality and patterns — alerts only fire on what humans should look at.

Column-Level Lineage

Trace any field from source to dashboard — and see exactly what breaks downstream when it changes.

SLA Enforcement

Define data SLAs by domain or consumer; track compliance, escalate breaches, prove reliability.

Capabilities

Built for the Way Modern Data Teams Work

Connectors for every major data platform, an open API, and integrations with the tools your team already uses.

Universal Connectors

Snowflake, Databricks, BigQuery, Redshift, Postgres, S3, Kafka, dbt, Airflow, Fivetran — connect in minutes.

Pipeline-Level Visibility

See dbt runs, Airflow DAGs, and Spark jobs alongside the data they produce — one pane of glass.

Smart Alerting

Slack, PagerDuty, Teams, email — routed by domain, severity, and on-call rotation, with full context.

Data SLA Reporting

Executive-ready reports on data reliability, by domain and by consumer — with trend lines and root causes.

Incident Workflow

Triage, assign, root-cause, and post-mortem incidents in-product — with full audit history.

API & Webhooks

Embed observability into your platform — programmatic access to checks, incidents, and lineage.

Let's Talk

Ready to See Your Data Health Live?

We'll connect a sample of your sources and walk you through your first detected incidents within a week.