Data Quality & Infrastructure; Data Quality Monitoring; Dashboards & Reporting
Lightup provides enterprise data observability and quality monitoring for production data pipelines. The platform uses AI-powered anomaly detection, pushdown queries that run directly in data warehouses, and agentic interfaces that work with Claude and Gemini. Features include automated metrics, data lineage tracking, data reconciliation, and unstructured data quality monitoring.
The platform is designed for enterprise scale with a cloud-native architecture that does not move customer data and maintains flat costs as data volume grows. Lightup integrates with data infrastructure tools including Databricks, Collibra, Alation, Dremio, and ksqlDB, and supports zero-configuration auto metrics and real-time incident monitoring.
Prebuilt machine learning models detect data quality issues automatically without manual thresholds, rules, or configuration required.
Computation runs directly in data warehouses so Lightup never moves customer data and costs remain flat as volume grows.
Integrated workflows powered by Claude, Gemini, or Codex allow users to command data quality operations without writing code.
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