Platform / Data health you can prove, not just monitor
Data Observability
Monitor data freshness, volume, schema drift, and anomalies across your warehouse and pipelines — and turn every check into a signed, ledger-anchored result an auditor can verify offline.
Book a demoWhy it matters
Data observability tools like Monte Carlo tell you when a table breaks. Compriska tells you — and proves it. Monitor freshness, volume, schema changes, distribution anomalies, and custom rules across Snowflake, Databricks, BigQuery, Redshift, dbt, Fivetran, Airflow, Looker, Tableau, and more. Every evaluation is deterministic and Ed25519-signed, anchored to a tamper-evident ledger, so a passing data-quality SLA becomes cryptographic evidence for SOC 2 or ISO 27001 — and every incident carries both its data-downtime cost and the dollar upside of fixing it. It's the only data observability built for the boardroom and the audit room at once.
What you get
- ✓Freshness, volume, schema-drift, distribution-anomaly, and custom-rule monitors across warehouses, ETL, and BI
- ✓Deterministic anomaly detection (seeded z-score) — the same data always yields the same verdict, so results are reproducible
- ✓Every observation Ed25519-signed and ledger-anchored — a data-quality result an auditor can verify offline, no vendor trust required
- ✓Two-sided incident economics: data-downtime cost AND the reliability upside of the fix, in dollars
- ✓Column-level schema-drift detection and end-to-end lineage with downstream blast-radius impact analysis
- ✓Incident routing to PagerDuty, Slack, and Jira
- ✓Compliance-native: a passing data SLA becomes tamper-evident evidence for SOC 2 and ISO 27001
Frequently asked questions
How is Compriska different from Monte Carlo or other data observability tools?
Monte Carlo, Bigeye, and similar tools show you data-quality results on a dashboard you have to trust. Compriska signs and ledger-anchors every monitor evaluation, so anyone — an auditor, a regulator, your board — can independently verify a data-health result offline. It's also two-sided (downtime cost and reliability upside in dollars) and compliance-native, turning data SLAs into audit evidence. No other data observability platform makes its results provable.
Which data platforms does Compriska monitor?
Warehouses (Snowflake, Databricks, BigQuery, Redshift), ETL and transformation tools (Fivetran, dbt, Airflow), and BI layers (Looker, Tableau, Mode), with incident routing to PagerDuty, Slack, and Jira.
Can data quality count as compliance evidence?
Yes. Because every monitor result is signed and anchored to a tamper-evident ledger, a passing data-quality SLA becomes cryptographic evidence you can attach directly to a SOC 2 or ISO 27001 control — the same audit-grade proof Compriska applies across the rest of the platform.
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