Continuous IBM DataStage observability with Databand

Databand provides DataStage observability across your DataStage job execution so you can know when a DataStage job breaks, and how to fix it fast.

Why DataStage observability with Databand?

DataStage CP4D is IBM data fabric’s powerful cloud-native ingestion service.  

Databand provides DataStage customers with proactive alerting capabilities to ensure the confident delivery of quality data.

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Alert earlier

Receive real-time alerts on data incidents in DataStage flows. 

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Remove surprises

See historical trends of different DataStage processes to detect anomalies and incidents. 

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360 impact analysis

Use Databand’s runtime incident lineage to view how DataStage incidents impact downstream data. 

Get continuous DataStage observability inside Databand

With Databand’s DataStage observability, data teams don’t have to jump back and forth between systems to solve data issues.  

DataStage Alerts


Receive proactive alerts for all DataStage incidents.

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

Generate alerts for incidents like: 

  • Run and task state alerts (e.g., running, successful, failed) 
  • Run duration alerts and anomaly detection 
  • Schema changes for inputs and outputs (e.g. new columns added) 
  • Record counts for inputs and outputs (e.g., record count within 20% of 100,000 rows) 


Turnkey integration for cloud and on-prem deployments.

Databand makes it is easy to integrate with your DataStage CP4D cloud or on-premise environment through our DataStage syncer.  

  • Connect your syncer with one-to-one relationships with DataStage projects.  
  • Authenticate via API or username and password. 
DataStage Turn Key Integration


Re-Imagining DataStage Observability

DataStage Logging


Stop wasting time. View all DataStage logs in one place.

Quickly view information about the state  and duration of each DataStage job from the Databand console. 

  • See the state and duration of individual jobs. 
  • Pinpoint the root cause of a DataStage failure and resolve it fast.  
  • Display DataStage operations and datasets within one view. 
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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.