Lightup
Lightup provides enterprise-wide data quality and data observability solutions, specifically designed for AI and analytics applications.
Our verdict
Who it's for
AI-powered data quality and observability for structured and unstructured data, accelerating AI and analytics.
Who should look elsewhere
No specific cons mentioned in the provided text.
Pros
- +Monitors both structured and unstructured data, crucial for modern AI applications.
- +Highly scalable for large enterprise data volumes without performance impact.
- +Democratizes data quality, allowing non-technical users to create checks.
- +AI-powered anomaly detection reduces manual effort and improves accuracy.
- +Offers flexible ways to define checks: no-code, SQL, and API/SDK.
Cons
- −No specific cons mentioned in the provided text.
Key features
- ✓Enterprise-wide Data Quality and Observability coverage
- ✓Support for structured and unstructured data (including GenAI/LLM applications)
- ✓Scalable pushdown architecture for large data volumes
- ✓No-code/low-code rule builder for data quality checks
- ✓Custom SQL interface for complex data quality checks
- ✓Lightup API/SDK for programmatic changes and remediation workflows
- ✓AI-powered anomaly detection with copilot supervision
- ✓Automated data quality checks and rule authoring
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Premium | — | month | 10 Users; 2 Workspaces; Databricks*, Snowflake, Redshift, BigQuery, Postgres, Athena*Partial Data Sources |
| Enterprise | — | month | Custom Users; Custom Workspaces; Databricks*, Snowflake, Redshift, BigQuery, Postgres, Athena*Partial Data Sources |