Read our new blog about 'Airflow 2.0 and Why We Are Excited at Databand'

Discover where data pipelines are broken before bad data gets through

Instantly trace the root cause of pipeline failures and data quality issues. Observability purpose-built for Data Engineers.

Uncover new metrics to resolve data issues fast

From your data pipelines
  • Zoom in to your most common task errors and why jobs are failing
  • Identify drifts in data quality metrics
  • Catch increases in task durations and likely SLA misses
  • Measure spikes in query costs and resource consumption

From your data lake
  • See how data tables and files are updating and changing over time
  • Identify resource bottlenecks and inefficient database configurations
  • Track how pipelines are reading and writing data
  • Alert on changes in sizes, schemas, distributions, and custom metrics

A solution for unified pipeline monitoring

Databand collects metadata from your various pipeline services and helps you focus your attention on the most critical SLA issues, task failures, and data quality problems.

Dataframe column structure has changed
Task duration has exceeded its threshold
Peak memory consumption detected
Python error on undetected column
Reliable results

Quickly catch when pipelines deviate from normal baselines

Complete visibility
4

Track all information in one place – data quality, data lineage, system resource information, and job durations

Centralized tracking

Integrate metadata from all data infrastructure levels, from orchestrator to data lake

Native to your data stack

Quickly integrate with best of breed data pipelining tools.

Orchestrators

Capture schedule and run information from your schedulers, CRON systems and orchestrators.

Code

Consolidate logs and error messages from your data ingestion, ETL, and ML code.

Job engines

Understand performance and resource consumption levels from databases and data compute engines.

Data

Track data quality metrics and data lineage across pipeline input and output, files, and data tables.

All integrations

Used by data teams worldwide

From startups to Fortune 500 companies, we’re helping data engineering teams introduce stable, reliable, and predictable data operations.

Start a free trial or demo

Contact us for a free trial or to see a demo of the solution in action.