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Databand
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
Databand is helping us achieve better pipeline reliability and higher velocity releases for our data products. The platform is saving 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
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
Ready for proactive data observability?
Databand is the only proactive data observability platform that catches bad data before it impacts your business.
In the demo, we’ll cover how you can:
- Automatically collect metadata from your modern data stack like Airflow, Spark, Databricks, Redshift, dbt, and Snowflake.
- Build historical baselines based on common data pipeline behavior and get visibility into every data flow, from source to destination.
- Detect high severity data reliability errors that impact your most critical pipelines and alert impacted teams.
- Create smart workflows that remediate data quality incidents and keep SLAs on track.
Deliver on-time data
Ensure data completeness
Maintain data accuracy
Expedite remediation on data issues
