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Let’s set up a customized demo for your team – start by filling out the form and reach out to book a meeting. 

We look forward to talking with you soon!

Databand is a leader in Data Observability on G2
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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 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
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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

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. 
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Deliver on-time data

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Ensure data completeness

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Maintain data accuracy

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Expedite remediation on data issues