Head-to-head · Data Observability Tools
Datadog Data Observability vs Actian Data Observability
Datadog Data Observability leads on 0 checks, Actian Data Observability on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDatadog Data Observability · 9.3/10
- Free trialonly Datadog Data Observability
Datadog Data Observability scores higher on our rubric for data observability tools: 9.3 against 9.0 out of 10; our editors rank them #1 and #3.
Datadog Data Observability is the better fit for teams already using Datadog. Actian Data Observability is the better fit for teams seeking warehouse-native monitoring.
- Datadog Data Observability fits best
Teams already using Datadog
- Actian Data Observability fits best
Teams seeking warehouse-native monitoring
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Side by side
| Feature | Datadog Data Observability 9.3/10 Visit ↗ | Actian Data Observability 9.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 9.0 |
| Ranking | #1 in Data Observability Tools | #3 in Data Observability Tools |
| Best for | Teams already using Datadog | Teams seeking warehouse-native monitoring |
| Pricing model | Paid | Paid |
| Starting price | $24/unit/mo | Pricing on request |
| Free plan | — | Not checked yet |
| Free trial | 14 days | — |
| Deployment | Cloud | Cloud, Self-hosted |
| Platforms | Web | Web |
| Integrations | 1,000+ integrations | 5 integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Datadog Data Observability 1/5 · Actian Data Observability 1/5 | ||
| Pipeline monitoring | Not checked yet | Not checked yet |
| Freshness monitoring | ✓ | ✓ |
| Schema change detection | Not checked yet | Not checked yet |
| Anomaly detection | Not checked yet | Not checked yet |
| Data lineage | Not checked yet | Not checked yet |
| Specs | ||
| Deployment | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Datadog Data Observability combines Quality Monitoring and Jobs Monitoring for data and DevOps teams. Quality Monitoring checks lakes and warehouses for freshness, row-count, uniqueness, nullness, schema, and other issues, while… Read the review → |
Actian Data Observability monitors data quality and pipeline health for data teams, with a focus on assets in cloud warehouses, databases, and lake storage. It tracks freshness, volume, distribution, and schema changes, then helps teams… Read the review → |
Strengths and trade-offs
Datadog Data Observability — where it wins
- Freshness, schema, nullness, uniqueness, and row-count monitoring
- Lineage and anomaly detection connect data issues to downstream impact
- Job traces, cost insights, and alerts span Databricks, Airflow, dbt, and more
Where it doesn't
- No free plan; access starts with paid usage
- Cloud deployment only, with no self-hosted option listed
- Usage-based pricing requires tracking tables, hosts, and job hours
Actian Data Observability — where it wins
- Tracks freshness, volume, distribution, and schema changes
- Supports custom metrics and SQL-based monitors
- Combines incident history, asset lineage, and multiple alert channels
Where it doesn't
- Pricing is quote-based and requires contacting sales
- Custom SQL monitors call for SQL skills on the team
- Alert destinations are limited to Teams, Slack, webhooks, email, and Jira
- Datadog Data Observability9.3/10 · 14-day trial
A Datadog-native view of data quality, lineage, pipeline jobs, and costs.
Visit DatadogFull verdict → - Actian Data Observability9.0/10 · Pricing on request
Warehouse-native monitoring with custom SQL metrics, incident history, and lineage.
Visit ActianFull verdict →
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- Datadog Data Observability vs Elementary
- Datadog Data Observability vs Soda
- IBM Data Observability by Databand vs Actian Data Observability
- Actian Data Observability vs Monte Carlo
All data observability tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update