Automate data quality metric monitoring across every layer of Medallion architecture
Ensure the gold layer is “consumption-ready” data by identifying and resolving data issues before they flow through the silver and gold layer
Monitor data health across all data layers
- Get a complete overview of the health status of all systems within your pipeline
- Visualize lineage to monitor data issues and KPIs through your pipeline
- View alerts from Telmai when inconsistencies are detected between the silver, bronze, and gold layer
Track data from ingestion to consumption
Data inconsistencies across its lineage can be an early indicator of potential problems. Telmai data diff monitoring allows you to detect and assess issues between systems before they escalate
Quickly find the source of issues
- Telmai searches across your entire data pipeline to find the source when inconsistencies occur.
- Our UI-based investigator allows easy root-cause analysis
- Faster mean time to resolve, issue triaging, and resolution
Data dependencies
Telmai allows users to visualize dependencies between monitored data sources to help with troubleshooting data issues by displaying dependency graph with number of detected issues at each node of the graph
More features
Connect Datasources
Connect your datasource, or send data via REST, or load a local file
Analyze Data Health
Quickly identify and pinpoint data anomalies, errors, or inconsistencies
Alert
Telmai will learn your data and its trends and automatically alert on unexpected drifts
Recommendations
Telmai will finally advice you on next best actions for your data sets
Open Architecture
No-code connection to Data lake and Lakehouse –natively support raw formats like Iceberg, Hudi and Delta
Data Quality
Validate every value before ingesting into AI-model, automate and orchestrate DQ workflows in AI-workloads
Anomaly Detection
No sampling, ML-driven anomaly detection on column-values and business metrics
Data Layer Consistency
Improve quality across bronze, silver and gold layers embedded design patterns to stop bad data at bronze
Data Health Analysis
No code analysis and reporting of your data lake and lake house
Incident Management
Alerting, ticketing, investigation and remediation workflows