Read our new blog about 'Avoid data SLA misses with Databand Dashboard'

Discover where data pipelines are broken before bad data gets through

Databand.ai is a unified data observability platform that helps data engineers identify, troubleshoot, and fix data quality and data pipeline issues fast.

Measure data health across its entire journey

From your data pipelines
  • Compare the impact of pipeline changes from dev to prod
  • Track how pipeline errors cause data quality issues
  • Proactively monitor likely SLA misses
  • Measure spikes in costs and resource consumption
From your data lake to your warehouse
  • Monitor freshness of data in your data lake
  • Identify resource bottlenecks and inefficient configurations
  • Track data lineage across pipelines
  • Alert on issues in data size, schemas, distributions, and custom metrics

We help data teams build reliable data products

“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 Arad. Senior Engineering Manager at Agoda

Know there’s an issue before your consumer does

Databand.ai tracks data pipeline performance metrics and metadata in real-time so DataOps can catch critical data delays, task failures, and data quality problems the moment they happen.

Discover leading indicators

Customize Databand.ai to track the metadata and metrics that matter the most to the health of your data product. Get alerts on leading indicators of pipeline performance bottlenecks so you can begin troubleshooting before it’s too late.

Identify root causes fast

When issues occur, drill into the source of errors or data corruptions across your pipelines. Zoom in on where the issues are happening so you can quickly diagnose the proximate and root causes of data health problems.

Avoid data SLA misses

Trace the lineage of pipeline issues upstream, and see how those issues impact data health downstream. Prioritize resolutions for the issues that cost your organization money and consumer trust.

Metrics from all your tools in one place

Instantly integrate with your tech stack for unified pipeline observability and data health checks

  • Connect with 20+ tools like Apache Airflow, Apache Spark, Snowflake, S3, and more
  • Run health checks on critical data assets in your data lake or warehouse
  • Track how long-running jobs in big data engines cause data delays
  • Integrate with orchestrators to alert on pipeline data errors and problematic durations
Learn more

Find and fix data health issues fast

Get started for free when you start your trial or request a product demo.