Continuous data observability:
Always know exactly what's in your data
Even small data issues can have a big impact on downstream systems
Broken dashboards, misleading insights, and unreliable AI outputs... Without continuous observability, teams are left reacting to failures long after the damage is done.
The DataOps.Live Automation Platform gives you real-time visibility into the health of your pipelines and data products. With automated monitoring, anomaly detection, AI-Ready scoring, FAIR scoring, and built-in alerting, teams detect issues faster, resolve them sooner, and deliver data that stays trusted from source to production.
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Issues surface too late to prevent impact
Data problems often show up only after downstream dashboards break or AI outputs misfire—long after the root cause is buried.
Pipelines run without real-time checks
Without automated monitoring for anomalies, drift, or quality issues, teams lack visibility into failures as they happen.
Manual investigation slows everything down
Teams spend hours triaging failures without clear diagnostics or centralized signals about what went wrong.
Data quality varies from product to product
Without consistent scoring and quality gates, it's impossible to guarantee which datasets and products can be trusted.
Governance fails without enforcement
Policies and standards often depend on manual review, making it difficult to maintain compliance as systems scale.
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Intelligent, continuous monitoring
Track pipeline behavior for data quality, anomalies, and reliability across every step of your workflows.
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Automated alerting and incident detection
Receive real-time notifications the moment thresholds are breached, enabling faster diagnoses and response.
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AI-Ready data scoring
Evaluate completeness, accuracy, timeliness, and governance alignment to ensure data meets the standards required for AI.
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FAIR scoring for data usability
Measure how Findable, Accessible, Interoperable, and Reusable your data products are - standardizing trust across domains.
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Embedded quality and policy gates
Enforce organizational rules automatically, stopping pipelines when data fails validation or violates governance controls.
This approach delivers strong governance, the necessary geo-restrictions, departmental autonomy, and that all-important innovation at speed.
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DataOps.live is about collaborative development. It’s about the ability to coordinate and automate testing and deployment, and therefore shorten the time to value.
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If there is one tool that will change your live forever, it is DataOps.live. Go and see for yourself as this the heart of your modern data stack!
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Deliver data products with speed and control
Want to see DataOps.live in action? Join our data engineering team for a hands-on lab to see how easy it is to get started, and set up your first automated native CI/CD pipeline for Snowflake in under an hour.
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Field notes from the data layer
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