Streamline your DataOps

Data pipeline tracking, alerting, and optimization

Gain observability over pipelines running on tools like Airflow, Spark, Snowflake, BigQuery, and Kubernetes

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Achieve Visibility and Trust in Your Data

Monitor

Ensure quality data arrives in the right place at the right time.

Alert

Gain automated alerting to zero-in on critical issues and changes.

Debug

Expedite root cause analysis on failures and save time debugging.

Built for the data engineering stack

Databand is specially built for pipelines running on tools like Spark, Airflow, and Kubernetes.

Databand integrates seamlessly with the best of breed tools that run your data flows, and collects critical pipeline metadata so you have the info you need to stay in control. Instantly monitor metadata from Airflow, Spark executions, databases, and application code.

Data awareness for your DAGs

Gain awareness of your data processes on every level.

Understand what your data looks like, how it’s changing, and how it will affect your models or analytics downstream. Detect changes in schemas, column types, distributions, and any other important attributes you use to measure data quality.

Data awareness for your DAGs

Gain awareness of your data processes on every level.

Understand what your data looks like, how it’s changing, and how it will affect your models or analytics downstream. Detect changes in schemas, column types, distributions, and any other important attributes you use to measure data quality.

Alerting that cuts through the noise

Open, extensible alerting and comparisons.

Data engineers juggle a lot of tasks. Databand helps introduce more sanity into your projects. Create health checks for your pipelines to QA your data, make sure jobs are in sync, manage costs, and keep track of your critical business KPIs before issues arise downstream.

“Databand gives me the peace of mind that my DAGs will complete when they should, with the right data. And when things go wrong, I can immediately jump into where the problems are.”

- Head of Data, OptimalQ