Read 3 Databand.ai reviews and testimonials from customers, explore 2 case studies and customer success stories, and watch customer videos to see why companies chose Databand.ai as their undefined

Databand is an observability platform for data engineering teams. Data engineering teams are responsible for managing a wide suite of powerful tools, but lack the utilities they need to make sure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully, and keep tabs on resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into tools like Apache Airflow, Spark, Kubernetes and various ML offerings from the major cloud providers.

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Customer Rating Review Scorebased on 463 reference ratings
4.8/5.0 (463)

3Testimonials

  • "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."

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2 Case Studies

  • Trax Retail Drastically Reduces Data Incidents, Increases Customers By 3x with Databand

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Read Databand.ai Reviews, Testimonials & Customer References from 3 real Databand.ai customers.

Browse Databand.ai Case Studies, Customer Success Stories, & Customer References from 2 businesses that use Databand.ai.