Monitor your data health and pipeline performance
Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers.
Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up.Learn more
What makes pipeline management a pain
To manage growing responsibilities, data teams are working with more complex infrastructure and pursuing higher speeds of release – making it harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs.
Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery
Engineers don’t have the full context they need to understand the health of their pipelines and data deliveries
Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems
Our solution for unified pipeline monitoring
Empowering data engineers to be proactive and productive through deep visibility into pipeline metadata.
Quickly catch when pipelines deviate from normal baselines
Track all information in one place – data quality, data lineage, system resource information, and job durations
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.
Capture schedule and run information from your schedulers, CRON systems and orchestrators.
Consolidate logs and error messages from your data ingestion, ETL, and ML code.
Understand performance and resource consumption levels from databases and data compute engines.
Track data quality metrics and data lineage across pipeline input and output, files, and data tables.
Powered by open source
Databand’s monitoring solution is enabled by our open source library, giving our users transparency and control
Use open source connectors to integrate your orchestrators, job engines, and metadata libraries.
Databand connectors will automatically record metadata as your pipelines run, alerting on important changes.
Add additional connectors, operators, or logging methods for deeper monitoring.
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.