# lakehouse monitoring

Published articles for lakehouse monitoring.

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## Databricks Lakehouse Monitoring vs. Data Observability - What's the Difference?

DevFeed: [Databricks Lakehouse Monitoring vs. Data Observability - What's the Difference?](<https://devfeed.tech/articles/databricks-lakehouse-monitoring-vs-data-observability-what-s-the-difference-83020.md>)

Original publisher: [Read original article](<https://montecarlo.ai/blog-databricks-lakehouse-monitoring-vs-data-observability>)

Author: Michael Segner

Published: 2023-09-01T18:32:10Z

Content type: comparison

Language: en

Sources: [Monte Carlo](<https://devfeed.tech/sources/monte-carlo.md>)

Topics: [data observability](<https://devfeed.tech/topics/data-observability.md>), [databricks](<https://devfeed.tech/topics/databricks.md>)

Tags: [building-reliable-systems](<https://devfeed.tech/tags/building-reliable-systems.md>), [data-observability](<https://devfeed.tech/tags/data-observability.md>), [databricks](<https://devfeed.tech/tags/databricks.md>), [lakehouse](<https://devfeed.tech/tags/lakehouse.md>), [lakehouse-monitoring](<https://devfeed.tech/tags/lakehouse-monitoring.md>), [observability](<https://devfeed.tech/tags/observability.md>)

### AI overview

The article compares Databricks Lakehouse Monitoring with data observability platforms. It describes Lakehouse Monitoring as useful for monitoring specific tables and models within Databricks, while data observability provides broader pipeline coverage, integrations across data infrastructure, and incident investigation and response workflows. It presents the two approaches as complementary.

### Source excerpt

Lakehouse Monitoring is a great option to monitor a specific table or model, but building reliable systems at scale requires data observability. Here's why.