Unravel
Unravel: Unravel combines data-quality checks, pipeline health, and lineage-aware incident analysis. Ranked #29 of 39 in Data Observability Tools by our editors (6.4/10); pricing: Pricing on request; best for teams monitoring Spark and data pipelines.
At a glance
- Editor score6.4 / 10
- PricingPricing on request
- Best forTeams monitoring Spark and data pipelines
- Free planNo
- Anomaly detectionYes
- Facts checked25 Oct 2026
Where it wins
- Covers freshness, volume, schema, distribution, SQL, and reconciliation checks
- Links quality alerts to lineage, code, compute, and pipeline context
- Supports Databricks, Snowflake, BigQuery, Airflow, and major alerting tools
Where it doesn't
- Pricing is quote-based, with no numeric rates published
- There is no indefinite free software plan
- Support channels are limited to email and documentation
Our verdict on Unravel
Unravel is a data observability and platform optimization product for teams operating Spark environments and data pipelines. It monitors freshness, volume, schema drift, distribution, custom SQL conditions, and reconciliations, while also tracking quality SLAs and pipeline run health. Lineage-aware impact analysis helps teams understand which downstream assets may be affected by a data issue. The product is aimed at mid-market and enterprise organizations working across platforms such as Databricks, Snowflake, and BigQuery.
Pricing is quote-based, and the published model describes consumption-based pricing rather than fixed numeric rates. There is no indefinite free software plan, although a free health check and proof-of-concept are offered. Unravel’s standout capability is its incident context: the product correlates data-quality alerts with code, compute, and pipeline information, giving investigation a broader operational view than isolated validation checks. Teams that need both quality monitoring and platform-performance or cost visibility may find that combined scope useful.
Unravel connects with Databricks, Snowflake, BigQuery, Amazon EMR, Cloudera, Airflow, and Oozie, and can route notifications through Slack, Microsoft Teams, and PagerDuty. Deployment options include cloud SaaS and self-hosted environments, with on-premises support described for some Cloudera deployments. Compliance coverage includes SOC 2 and HIPAA, with SSO/SAML support. Choose Unravel when lineage, pipeline health, and platform context matter together; teams seeking a simple, low-cost standalone checker or a self-service free tier should look elsewhere.
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Unravel pricing
Unravel fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Pipeline monitoring | Yes |
| Freshness monitoring | Yes |
| Schema change detection | Yes |
| Anomaly detection | Yes |
| Data lineage | Yes |
| Deployment | Hybrid |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, HIPAA, SSO/SAML |
| Support | Email, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 10 integrations: Databricks, Snowflake, BigQuery, Amazon EMR, Cloudera, Slack … See all → |
| Pricing | Pricing on request (source) |
| Website | unraveldata.com |
| Facts checked | 25 Oct 2026 |
Unravel integrations
Unravel lists 10 integrations on its own site.
- Databricks
- Snowflake
- BigQuery
- Amazon EMR
- Cloudera
- Slack
- Microsoft Teams
- PagerDuty
- Airflow
- Oozie
See all Unravel integrations →
Alternatives to Unravel
- Datadog Data ObservabilityA Datadog-native view of data quality, lineage, pipeline jobs, and costs.9.3
- IBM Data Observability by DatabandPipeline-focused observability with lineage, quality alerts, and Airflow integrations.9.1
- Actian Data ObservabilityWarehouse-native monitoring with custom SQL metrics, incident history, and lineage.9.0
See all Unravel alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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