The end of hidden data outages
Data drives your decisions, product, and user experience. Silent breaks in data availability, conformity, and validity are leaving you exposed to hidden data outages causing material impact.
It’s time to turn the lights on.
Deliver a data driven experience with confidence.
Proactively detect and understand changes in product data that are symptomatic of deeper issues across the data pipeline - before they are noticed.
Power tool for the data engineer.
Continuous monitoring of data quality across all assets.
Machine learning features
External data APIs
Built for plug-and-play
Lightup connects directly to your data sources to instantly alert you when data breaks
Get started in minutes
Connect data source
Data integration works out-of-the-box. Lightup hooks up directly to your data warehouse where your data already lives with built-in connectors for popular sources including Redshift, Snowflake, Presto, BigQuery, and Postgres.
Get instant visibility
Lightup gives you ready-made data quality metrics for monitoring common outage symptoms. You start getting visibility the moment you plug in data source credentials -- no code to write, no services to spin up, no wrangling of data. Lightup matches the shape of your data, not the other way around.
Customize, automate, collaborate, integrate
Easily define custom data quality metrics to track your unique data outage symptoms. Quickly test and set ML-based alerting using an intuitive interface. Collaborate across data, product, and business teams to triage incidents with shared context. Integrate into your CI/CD workflows with fully-featured APIs.
In the news
Recent updates in the media and community publications.
Lightup and PagerDuty Integration Delivers Real-Time Data Quality Incident Monitoring and Response for the Enterprise
Lightup joins PagerDuty’s Integration Partner Program and Demonstrates Data Quality Monitoring Solution at PagerDuty Summit...
High Impact Data Quality Issues — That Are Easily Avoidable
When we talk to prospects, their first questions are usually around the fundamentals of data quality, including what it is, how we measure…
Leaky Pipelines and the Business Case for Data DevOps
As enterprises embrace digital transformation and migrate critical infrastructure and applications to the cloud as a key component of those efforts...