Lightup
No-code data quality checks for enterprise data pipelines
About Lightup
Lightup provides data quality monitoring with no-code and SQL-based checks that run in a customer's data warehouse or lake, and it supports alerting and incident response workflows. It has been used by large enterprises to monitor data at scale.
Common use cases
- Monitor warehouse tables
- Detect data incidents
- Scale data quality checks
Products and services
Lightup Data Quality Platform
Deep data quality checks with anomaly detection and alerting.
Key features
- No-code checks
- SQL-based metrics
- Anomaly detection
- Alert routing
- Pushdown execution
- Incident workflows
Integrations
- Snowflake
- Databricks
- BigQuery
- PagerDuty
- Slack
Lightup alternatives
Monte CarloData and AI observability platform that detects data incidentsBigeyeData observability and quality monitoring for enterprise data pipelines
AnomaloAutomated data quality monitoring for structured and unstructured data
SodaData quality and observability with data contracts and AI-assisted checks
FAQs
How do checks run?
Through queries pushed down to the customer's data platform.
Is coding required?
No, checks can be built without code, with SQL options.
Who uses it?
Large enterprises with significant data volumes.
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