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 moreMore pipelines, more complexity
Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s 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
Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust
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
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Stay on top of your critical run info, task logs, and data quality metrics with a data engineering approach to logging and tracking. When problems arise, trace the root cause with the ability to analyze metadata across pipelines and over time.
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.
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.