Continuous dbt observability with Databand

Databand provides dbt observability across your jobs, tests, and models you can know when a dbt process breaks, and how to fix it fast.

dbt observability with databand

Why dbt observability with Databand?

Teams use dbt Core and dbt Cloud to quickly deploy analytics code. But what happens when your dbt commands don’t work as expected? That’s where Databand’s dbt observability helps. 

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Alert earlier

Get proactive dbt alerts around execution times, test failures, model anomalies, and more. 

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Debug faster

Save engineering time by centralizing metadata and root cause analysis from all your dbt commands under one roof. 

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Analyze impacts

Leverage Databand’s lineage capabilities to see which tables are impacted from dbt population. 

Watch dbt + Databand in action.

Watch how easy it is to define alerts on dbt tests, models, and jobs to receive alerts when your dbt processes fail.

dbt Alerts


Receive proactive alerts for all dbt incidents.

Leverage the power of Databand’s alerting capabilities to notify your teams of critical issues as soon as they happen.  

 Generate alerts for incidents like: 

  • Failure of dbt commands, individual models, or individual tests. 
  • Duration anomalies for commands, models, and tests. 
  • Anomalous record counts for the tables in your models. 
  • Number of failures for any given test. 


Get instant access and debug your dbt SQL.

Simplify how analytics engineers and analysts access SQL for their models and tests.  

Databand removes the manual discovery of .sql and .yaml files from your dbt projects. 

  • Identify key information like the materialization type of your tables and schemas. 
  • Investigate table logic to better understand how certain calculations are derived. 
dbt - SQL Access and Discovery


How to Strengthen DataOps with Continuous Data Observability

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Stop wasting time. View all dbt commands in one place.

Quickly view information about the state and duration of each dbt command from the Databand console. 

  • See the state and duration of each individual dbt models and tests. 
  • Pinpoint the root causes of a dbt failures and resolve them fast.  


Get the whole picture with impact analysis and lineage.

Databand’s dbt observability automatically displays dbt commands in the context of your other data processes.  

For example, if your using Apache Airflow to kick off a dbt command, Databand will show the entire flow. 

  • Gain insight into the affected processes if a dbt model fails. 
  • Proactively determine which downstream processes are at risk due to upstream issues. 
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Databand automatically monitors the health of our Airflow pipelines so we spend less time debugging, and more time building ML models. Before Databand, 60% of our pipelines had at least one data incident. Now less than 1% of pipelines have incidents. This resulted in a 3X increase in our customers since we can now manage our ML deep learning models at scale.

Tzoof Hemed
AI-Engineering Team Leader
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Databand helps us detect data quality issues faster so we can meet our data SLAs. Without Databand, we didn’t know we had problems until two or three days later – forcing us to backfill the data. 

Fithrah Fauzan
Data Engineering Lead
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Databand is helping us achieve better pipeline reliability and higher velocity releases for our data products. The platform saves our team a lot of troubleshooting time by providing one holistic view for job monitoring and dependencies so that everyone can see what’s happening in our pipelines.

Amir Ara
Senior Engineering

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Fix data incidents fast

See how Databand can transform data observability at your organization today.