Ensure your Iceberg lakehouse always has trusted data

Monitor millions of metrics – no code, no overhead

Bring reliability and visibility with AI-driven data quality monitoring to your Iceberg lakehouse

• Continuously monitor your lakehouse to catch DQ issues upstream to avoid expensive late-stage fixes 
• Validate business-critical data at scale across any volume or format, whether structured or semi-structured
• Define and enforce business logic without complex coding or custom scripts

Purpose-built for distributed lakehouse architectures

Avoid query overhead, data duplication, and pipeline rewrites. Telmai’s open architecture integrates directly with your Iceberg lakehouse in minutes, with native connectors to over 250 data tools and systems.

Catch your first data issues before the sprint is over

Get immediate visibility into data health trends across your lakehouse stack as soon as you connect your first source

• Native VPC deployment keeps data secure and in place
• Connect to sources using no-code integrations — no ETL or custom engineering needed
• Automatically detect and surface issues across pipelines with ML-based monitoring

Adopted by Iceberg teams at scale

Whether you’re just starting with a few critical tables or already powering analytics across multiple clouds, Telmai grows with your platform. Our customers monitor billions of records, thousands of tables, and dozens of teams — all without burdening their data pipelines.

Read how ZoomInfo deployed Telmai across their Iceberg platform in <2 weeks →