Data Pipeline Performance Monitoring

Observability for data engineering teams

Achieve total visibility over your data pipelines, from source to machine learning model.

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Unparalleled visibility into your data pipelines

Monitor

Track all pipeline statuses, SLAs, and metadata, from data schemas to resource consumption and costs.

Alert

Define meaningful thresholds and gain automated alerts to zero-in on critical issues and changes.

Debug

Compare runs, pipeline code, and data, and easily iterate through fixes to debug your DAGs.

Built for the modern data stack

A monitoring system specially built for data pipelines running on systems like Airflow, Spark, and Kubernetes.

Your team leverages a stack of powerful but complex tools. Whether using Airflow, Google Composer, or another pipeline orchestration system, Databand integrates seamlessly with best of breed solutions used to schedule and run your data flows, providing the most granular information to help you stay in control.

Total visibility of your pipelines

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.

Total visibility of your pipelines

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 and extensible alerting to make sure you always have the right data, at the right place, at the right time.

Data engineers juggle a lot of tasks. Databand helps introduce more sanity into your projects. Create rules and 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