Mozart Data
Mozart Data: Mozart Data combines a Snowflake warehouse and transformation stack with observability features. Ranked #36 of 39 in Data Observability Tools by our editors (5.7/10); pricing: Free plan; best for teams building a warehouse and transformation stack.
At a glance
- Editor score5.7 / 10
- PricingFree plan
- Best forTeams building a warehouse and transformation stack
- Free planYes
- Anomaly detectionYes
- Facts checked25 Oct 2026
Where it wins
- Monitors connector syncs, transformation runs, and alerts
- Visualizes upstream and downstream lineage automatically
- Freshness-aware scheduling and SQL-based data alerts
Where it doesn't
- Its scope extends beyond dedicated data observability
- Paid plans start at $1,000 per month with annual billing
- Cloud deployment only
Our verdict on Mozart Data
Mozart Data combines ingestion, a Snowflake-backed warehouse, SQL transformations, scheduling, and observability features in a hosted platform. It is aimed at growing businesses that want managed data infrastructure, and is a fit for teams building a warehouse and transformation stack. Its observability functions cover pipeline status, lineage, freshness-aware scheduling, and data-quality alerts, rather than focusing solely on monitoring.
The monitoring layer tracks connector syncs, transformation runs, and alerts. Automatic lineage visualization shows upstream and downstream relationships, while freshness-aware scheduling uses upstream dependencies. Teams can define SQL-based alerts with notifications and revert-on-failure checks. Snapshots, table metadata, and BI integrations extend the platform around warehouse workflows. With connectors for more than 150 data sources and integrations including Fivetran, Slack, Google Sheets, and Metabase, Mozart Data can suit teams assembling an integrated data stack.
Sonata is the free tier, with 250,000 monthly active rows, 15 compute-hours, and unlimited users and connectors; it has usage-based overages. Concerto provides 1,750,000 monthly active rows and 135 compute-hours for $1,200 monthly or $1,000 per month with annual billing. Symphony costs $3,000 monthly or $2,500 per month annually, with 5,000,000 monthly active rows, 280 compute-hours, and five hours of dedicated analyst time. Opera costs $6,000 monthly or $5,000 per month annually, with 25,000,000 monthly active rows, 560 compute-hours, and ten analyst hours. Paid plans list a $1,000 implementation fee. The platform is cloud-only, so teams seeking a standalone observability product or another deployment model should consider alternatives.
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Mozart Data pricing
All 4 Mozart Data plans and prices →
Mozart Data fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Not verified |
| Pipeline monitoring | Yes |
| Freshness monitoring | Yes |
| Schema change detection | Not verified |
| Anomaly detection | Yes |
| Data lineage | Yes |
| Deployment | Cloud |
| Deployment | Cloud |
| Platforms | Web |
| Compliance & security | SOC 2, GDPR |
| Support | Email, Live chat, Docs |
| Built for | Small business, Mid-market (editorial estimate) |
| Integrations | 150+ integrations: Fivetran, Snowflake, Slack, Google Sheets, Metabase, BI tools See all → |
| Pricing | Free plan (source) |
| Website | mozartdata.com |
| Facts checked | 25 Oct 2026 |
Mozart Data integrations
Mozart Data lists 150+ integrations on its own site — the 6 named here are the ones its pages call out.
- Fivetran
- Snowflake
- Slack
- Google Sheets
- Metabase
- BI tools
See all Mozart Data integrations →
Alternatives to Mozart Data
- 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 Mozart Data alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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