Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Mozart Data review

Freemium#36 of 39 in Data Observability Tools

Mozart Data combines a Snowflake warehouse and transformation stack with observability features.

5.7/10Editor score
Visit Mozart Data
Mozart Data5.7 Visit Mozart Data

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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.

Mozart Data pros and cons

  • 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

Mozart Data 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