Data observability platform for data engineers
Monitoring data pipeline health is necessary for creating trusted data products. Databand is a unified data observability platform that enables you to produce reliable analytics and performant machine learning.
Highlight the metrics that matter the most
Catch the impact of pipeline issues on your data deliveries, before problems get to your data consumers.
Identify when anomalous durations or failures will cause late data deliveries and missed SLAs
When issues occur, drill into the source of errors or data corruptions across your pipeline
Access execution details, success logs, error messages, and runtime states from your data tasks, queries, and functions
See pipeline resource consumption levels and durations from underlying cloud or compute systems
Track how data corruptions or execution issues cascade across your pipelines, from central teams to downstream consumers
Monitor data schemas, data distributions, completeness, and custom metrics
Full-stack data observability made easy
Connect the dots between pipeline performance and data product performance.
- Gain ops metrics to zero-in on the pipelines causing data delays
- Access out-of-the-box data health metrics as data flows through your stack
- Track usage KPIs to optimize your cloud data services and increase the ROI of your data product
- Automate alerting to Slack, Pagerduty, and custom alert targets so you can catch potential issues before they reach consumers
Metrics from all your tools in one place
Unified visibility into all your data tools
Databand.ai has you covered when the stakes are high
From big data analytics to machine learning, data teams use Databand.ai to create reliable data products
Maintain data SLA quality standards
- Automate health checks on high-value data in your data lake and warehouse
Make mission critical decisions with confidence
- Guarantee on-time delivery of the data that powers your analytical dashboards and business intelligence reports
Ensure consistent and reliable data transformations
- Foster replication and migration processes that can keep pace with data inflows and maintain healthy data outflows
Give your machine learning product an edge
- Monitor model performance scores, catch data drift, and avoid corruptions to improve your model accuracy and prevent degradations
Find and fix data health issues fast
Get started for free when you start your trial or request a product demo.