End-to-end visibility: Gain insights into your data assets and pipelines from start to finish to ensure data gets delivered properly and on-time.
Multi-layer data: Identify and monitor the breadth and depth of insights about assets and pipelines in your data stack.
Covers all your data: Get visibility into all your data: data-at-rest, data-in-motion, and data-for-consumption.
Know why, not just when: Debug data delays at their root by correlating data and compute spikes.
Discover the true cost of bad data: Pinpoint the money wasted computing on unreliable data.
Pinpoint the root cause with data lineage: Trace transformation failures and data inaccuracy across tables and columns.
Shift-left problem isolation: Detect problems at the beginning of data pipelines to isolate them before they hit the warehouse and affect downstream analytics.
Drill-down: Apply multi-layer data to identify the root cause of incidents and take corrective actions.
Data reconciliation: Automated policies for data reconciliation to ensure data is properly in-sync across different data sources.
Start a free trial or request a demo to begin your
data observability journey.