Data observability is necessary because data health isn’t binary. Data observability gives you a granular view of your data health, and covers an umbrella of activities. These activities include tracking, alerting, comparisons, and importantly, next best action. If your standards for data health are high, you need observability across all your tools. You can read more about this topic here.

Our platform unifies data pipeline observability across your entire tech stack. This makes it easy to identify the root cause of data pipeline issues fast. Data engineers see how their pipelines affect data health so they can more easily prioritize issues, plan resolutions, and produce better data products.

Databand is perfect for organizations, DataOps teams, and data engineers that take the health of their data seriously. If you deliver data products, leverage machine learning, handle large volumes of data across multiple tools, and you lose money when data doesn’t meet quality standards — Databand is for you.

Databand currently has integrations with Apache Airflow, Apache Spark, Amazon Redshift, Snowflake, Amazon S3, and 20 other tools and technologies with plans to add more.

Getting started is easy. First, you can start your free trial or request a demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.