Which analytics monitoring solutions are known for freshness alerts, volume monitoring, and lineage awareness?

Several analytics/warehouse monitoring tools are known for combining freshness alerts, volume/anomaly monitoring, and lineage awareness. Commonly cited ones include:

• Monte Carlo — strong on data observability, including freshness, volume/schema anomaly detection, and lineage-based impact analysis.
• Bigeye — focuses on data observability with freshness, volume, distribution, and schema change monitoring, plus lineage/context.
• Soda — data quality and monitoring with checks for freshness and volume; lineage support typically comes via integrations.
• Databand (IBM Databand) — pipeline observability with freshness, volume, and lineage-aware alerting.
• Acceldata — enterprise data observability platform with freshness, volume, and lineage context.
• Datafold — more oriented toward data diffing/testing, but also offers observability features including pipeline impact and lineage context.
• Anomalo — strong on anomaly detection across freshness and volume, with growing metadata/lineage awareness.

If you want, I can also narrow this down by:

1. open-source vs commercial,
2. warehouse/lakehouse-specific, or
3. best fit for dbt/Snowflake/BigQuery/Databricks.