DataObservability.ai review
Paid, tiered observability covering freshness, quality, anomalies, lineage, and incidents.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
DataObservability.ai is a web-based data observability service for data and analytics teams monitoring Snowflake, BigQuery, Databricks, and Redshift. It checks freshness, volume, schema changes, and data anomalies, then maps end-to-end and column-level lineage to show downstream impact. Read-only connections, incident ownership, root-cause hints, and dbt-based monitor generation suit small, mid-market, and enterprise teams that want centralized data-health monitoring without building these checks themselves.
The published plans show annual billing at each listed tier. Starter costs $59.50 per month and includes one warehouse connection, all five monitoring pillars, and Slack alerts. Team costs $179.50 per month and adds dbt-native auto-monitors, end-to-end lineage, machine-learning anomaly detection, and PagerDuty alerts. Scale costs $479.50 per month with multi-warehouse connections, column-level lineage, SSO, and an audit log. Enterprise is listed at $999 per month billed annually and adds an in-VPC deployment option, DPA and custom integrations, and a dedicated support engineer. A 14-day trial is available without a credit card.
Its main strength is breadth across operational checks and investigation workflow: freshness SLA and late-load alerts, row-count monitoring, schema-change detection, distribution-drift and null-spike detection, lineage mapping, incident tracking, and alerts through Slack or PagerDuty. Integrations also include dbt, Airflow, Looker, and Fivetran. Teams wanting core monitors, lineage, and flexible deployment should find the tier structure easy to match to warehouse scale. Buyers seeking a free option, broader entry-tier warehouse coverage, or support beyond email should consider alternatives with those priorities.
DataObservability.ai pros and cons
- Where it wins
- Covers freshness, volume, schema, anomalies, and lineage monitoring
- dbt manifest-based monitor generation with downstream impact mapping
- Cloud or self-hosted deployment with Slack and PagerDuty alerts
- Where it doesn't
- No free plan; the listed plans use annual billing
- Starter supports one warehouse connection
- Support is listed through email
DataObservability.ai fact sheet, pricing and score →
Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.
Last updated · How we research and update