No-Code Rule Builder
Enable Self-Service Data Quality
- Empower non-technical users with no-code UI.
- Scale prebuilt checks in minutes, not months.
- Create complex, business-specific checks.
- Streamline cross-departmental collaboration.
Ensure reliable data for business-critical analytics and AI workloads across cloud, hybrid, and on-premises systems by proactively monitoring data health with automated Data Quality checks, AI-driven anomaly detection, and real-time incident alerts.
Whether monitoring structured tabular data for business intelligence (BI) and analytics, or unstructured data in documents for GenAI and LLM applications, Lightup’s Data Quality and Observability solutions are best for enterprises focused on:
Plug-and-go automated Data Quality solutions may improve some data issues quickly and easily. The reality? Some of the top Data Quality vendors rely on black box systems that lack the flexibility and control required to create business-driven Data Quality rules, aligned with your business processes.
If you’re serious about solving enterprise Data Quality issues at scale, you’ll need a flexible system like Lightup with zero-config metrics, a no-code rule builder, and a full SQL interface for custom checks with complex business logic.
Powered by AI, Lightup Data Quality and Observability keeps up with your evolving business processes and data models, offering copilot control and flexibility to modify on the fly.
Get Data Quality incident alerts through email, Slack, PagerDuty, MS Teams, and more.
Drill into linked Data Quality Incidents for detailed analysis and further investigation.
Reduce MTTA for critical incidents to resolve issues before downstream escalation.
Deploy basic to complex custom deep Data Quality checks with business-specific requirements on actual data content, not just metadata.
Democratize no-code Data Quality checks to enable business users to write their own checks — without relying on engineers or learning a proprietary rule engine.
Scale Data Quality checks across huge data volumes with Lightup’s efficient pushdown SQL queries, without choking system performance.
Replace legacy manual checks with prebuilt automated checks, accelerating rule authoring workflows for higher productivity.
At Lightup, we understand the unique challenges and complexities of implementing Data Quality and Observability at enterprise scale. By partnering closely with Fortune 500 companies, we’ve optimized our enterprise-first delivery framework, team structure, and processes to make you successful from day one.
Data Quality and Data Observability is a team sport, and we democratize our approach to ensure everyone has a seat at the table.
We believe Data Quality and Observability requires deep metrics, aligned with your business process — there’s no one-size-fits-all solution.
We know enterprise environments have distinct requirements, and we’re committed to exceeding your expectations by including personalized professional services that can be expanded based on your needs.
We believe Data Quality and Observability requires deep metrics, aligned with your business process — there’s no one-size-fits-all solution.
That’s why we emphasize the importance of knowing your business inside and out and involving the right people.
Our workflows are designed to accommodate different personas and roles within your organization, ensuring that everyone has the tools and resources they need to contribute to your success. And when you need guidance or best practices, our dedicated team is here to support you every step of the way.
Yes, Lightup automates the setup of out-of-the-box Cloud Data Quality Checks with one-click activation, without any configuration.
Plus, create low-code Deep Data Checks to see if data has arrived as expected (i.e., determine if the data that arrived is actually fresh, timestamped today vs. last week).
Explore Lightup Docs to learn more about Lightup’s Metrics and Auto Metrics.
Lightup has prebuilt connectors for a variety of different Databases, Data Warehouses, Data Lakehouses, Data Lakes, and more.
Explore Lightup Docs to learn more about supported data sources.
Both: Lightup includes Data Observability Checks (DO) and Data Quality Monitoring (DQ).
Read our blog to learn more about Data Observability and Data Quality Monitoring.
While Data Lineage isn’t a native feature, Lightup integrates with Data Catalogs to enrich Data Lineage information.
Explore Lightup Docs to learn more about viewing Lineage charts with Incidents and Data Health in Atlan and Alation.
The Databricks DLT Expectation Framework and Lightup are complementary.
Beyond that, for anything that requires an aggregate, inline, or statistical check, you’ll need Lightup’s Deep Data Checks.
See firsthand how it works, start a free trial of Lightup through Databricks Partner Connect.
If you want to use Time Travel or restore data, you can revalidate or rerun metrics.
Lightup enables you to run checks again on data that was updated or restored.
See firsthand how it works, start a free trial of Lightup through Databricks Partner Connect.
Yes, Lightup provides a summary report of Failing Records, customizable to your specific needs.
Explore Lightup Docs to learn more about Lightup’s Failing Records query.
Lightup's automation is enough to get everyone started.
Explore Lightup Docs to learn more about Lightup Metrics.
A Lightup Workspace is a way to segment users and departments into different groups with their respective data assets.
Explore Lightup Docs to learn more about Workspaces.
Yes, Lightup is partition-aware, making the pushdown queries even more efficient.
Explore Lightup Docs to learn more about Partitions.
Yes, Lightup provides AI-powered Anomaly Detection on all monitored metrics and alerts users of Incidents through their preferred channel: email, Slack, Microsoft Teams, Jira, ServiceNow, PagerDuty, and more.
Learn more about our Partner Integrations.
Yes, with Data Compare, Lightup supports reconciliation checks to compare two tables, even across data sources.
Explore Lightup Docs to learn more about comparing aggregate metrics.
Deliver reliable data across enterprise analytics and AI workloads with Lightup Data Quality and Data Observability solutions.