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Lightup

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AI-powered data quality and observability for structured and unstructured data, accelerating AI and analytics.

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Tracked since2026
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The Bottom Line

Entry price

Paid plans only

Biggest pro

Monitors both structured and unstructured data, crucial for modern AI applications.

Biggest con

No specific cons mentioned in the provided text.

TL;DR - Lightup

  • Provides AI-powered data quality and observability for structured and unstructured data.
  • Enables scalable data quality checks for large enterprises across various data environments.
  • Democratizes data quality with no-code/low-code options for business users and engineers.
Pricing: Paid only
Best for: Enterprises & pros

What is Lightup?

Editorial review
Lightup provides enterprise-wide data quality and data observability solutions, specifically designed for AI and analytics applications. It helps organizations ensure reliable data across cloud, hybrid, and on-premises systems by proactively monitoring data health. The platform offers automated data quality checks, AI-driven anomaly detection, and real-time incident alerts, allowing businesses to identify and resolve data issues before they impact downstream applications or users. Lightup caters to large enterprises, enabling them to scale data quality checks across massive data volumes in warehouses and lakehouses without performance degradation. It democratizes data quality by offering no-code/low-code options, custom SQL, and an API/SDK, making it accessible to both non-technical business users and engineers. A key differentiator is its ability to monitor both structured data for traditional BI and analytics, and unstructured data (like documents) feeding new Generative AI and Large Language Model (LLM) applications. This flexibility and scalability help companies accelerate their data transformation journeys and improve data literacy across the organization.

Available on: Web

Pros & Cons

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.

Preview

Key Features

Enterprise-wide Data Quality and Observability coverageSupport for structured and unstructured data (including GenAI/LLM applications)Scalable pushdown architecture for large data volumesNo-code/low-code rule builder for data quality checksCustom SQL interface for complex data quality checksLightup API/SDK for programmatic changes and remediation workflowsAI-powered anomaly detection with copilot supervisionAutomated data quality checks and rule authoring

Pricing Plans

Free Trial

Pricing checked Jun 13, 2026

Premium

Get Quote

Everything in all plans, plus:

  • 10 Users
  • 2 Workspaces
  • Cloud Deployment Option(s)
  • 30 Days Data Retention & State Management
  • Google SSO, Okta Single Sign-on (SSO)
  • Limited Role-based Access Control (RBAC)
  • Standard Query Governance SLA
  • Community Support

Enterprise

Get Quote

Everything in all plans, plus:

  • Custom Users
  • Custom Workspaces
  • Cloud, Hybrid Deployment Option(s)
  • 6+ Months Data Retention & State Management
  • Google SSO, Okta, SAML -based, Microsoft Active Directory (AD) Single Sign-on (SSO)
  • Full Role-based Access Control (RBAC)
  • Custom Query Governance SLA
  • Custom Support

Included in all plans

  • Databricks*, Snowflake, Redshift, BigQuery, Postgres, Athena*Partial Data Sources
  • All Concurrent Data Source Connections
  • Custom Prebuilt Single-source DQIs
  • Data Compare DQIs
  • Multi-column DQIs
  • Custom DQIs
  • DQI Slicing
  • Data Profiling

Reviews

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Lightup FAQ

How does Lightup support Generative AI and LLM applications?

Lightup is specifically designed to monitor both structured and unstructured data, which is crucial for modern AI applications. This capability allows it to ensure reliable data quality for applications like Generative AI and Large Language Models, preventing data issues from impacting their performance.

Which teams benefit most from using Lightup?

Lightup is ideal for large enterprises with significant data volumes, particularly those involved in AI and analytics initiatives. It benefits both technical teams, through its API/SDK and custom SQL options, and non-technical business users, via its no-code/low-code capabilities, fostering improved data literacy across the organization.

How is Lightup priced?

Lightup is a paid product and does not offer a permanently free tier. Its pricing model is designed for enterprise-wide data quality and observability solutions.

Can non-technical users define data quality checks in Lightup?

Yes, Lightup democratizes data quality by offering no-code/low-code options for defining checks. This allows business users without deep technical expertise to contribute to ensuring data reliability.

How does Lightup compare to Logz.io for data monitoring?

Lightup focuses on AI-powered data quality and observability across structured and unstructured data, specifically for AI and analytics applications. While Logz.io offers observability, Lightup's core strength lies in proactively monitoring data health and detecting anomalies before they impact downstream systems.

What kind of data sources can Lightup monitor?

Lightup can monitor data across cloud, hybrid, and on-premises systems. It is capable of performing data quality checks on both structured data found in warehouses and lakehouses, and unstructured data like documents.

Source: lightup.ai

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