Data + AI observability
Proactively identify data quality issues, prevent them, and deliver agentic AI apps with confidence.
Data observability for agentic era
Deliver reliable, AI-ready data at enterprise scale.
No sampling. Zero blind spots.
Monitor every single record to eliminate critical blind spots and automate anomaly detection. Build unbreakable trust in your data, so no hidden error can corrupt your AI models or drive a bad business decision.
No cloud surge. No surprises.
Calculate DQ metrics without sending expensive queries to your data warehouse. Process billions of records without the fear of a runaway cloud bill.
Your data stack. Your rules. No compromise.
Connect to any data source or workflow with native support for open table formats. Run quality checks on your data lakehouse without the need for costly pre-processing.
Secured, zero copy data
Data never moves out of your data lakehouse or warehouse. Operate securely within your own Virtual Private Cloud (VPC) and process data where it lives. Remove security risks while staying compliant with data regulations.
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No sampling. Zero blind spots.
Monitor every single record to eliminate critical blind spots and automate anomaly detection. Build unbreakable trust in your data, so no hidden error can corrupt your AI models or drive a bad business decision.
-
![]()
No cloud surge. No surprises.
Calculate DQ metrics without sending expensive queries to your data warehouse. Process billions of records without the fear of a runaway cloud bill.
-
![]()
Your data stack. Your rules. No compromise.
Connect to any data source or workflow with native support for open table formats. Run quality checks on your data lakehouse without the need for costly pre-processing.
-
![]()
Secured, zero copy data
Data never moves out of your data lakehouse or warehouse. Operate securely within your own Virtual Private Cloud (VPC) and process data where it lives. Remove security risks while staying compliant with data regulations.
Make data your most trusted asset
Data observability is a core capability within a data intelligence platform, providing continuous visibility into data quality, freshness, lineage, and usage so analytics and AI systems can operate reliably.
See how Actian Data Observability provides the missing layer of trust and reliability needed to turn your existing data into a powerful asset for AI innovation.
Detect. Alert. Remediate.
Identify and fix data issues before they impact downstream work.
Drastically reduce Mean Time to Detection (MTTD) and Resolution (MTTR) with intelligent alerts and guided root-cause analysis. Free your engineers from firefighting and restore data trust faster.
Integrate automated checks and anomaly detection directly into your CI/CD pipelines, catching and fixing issues at the source—long before they ever impact production or downstream consumers.
Analyze historical drift patterns to determine if an incident is a one-off anomaly or a recurring problem, providing the context needed for a permanent fix, not just a patch.
Automatically detect silent errors and subtle changes in data volume, freshness, and distribution before they cascade into major data incidents.
Get automated alerts on data quality issues and schema drift before they break a dashboard or impact a business decision, ensuring data reliability across every data pipeline.
Bring your SQL-based rules from dbt or stored procedures. Avoid joins and logic rewrites.
Seamlessly integrate
With over 250 connectors, we provide native, deep integrations for the entire modern data ecosystem and the legacy systems you still rely on.
Seamlessly integrate
With over 250 connectors, we provide native, deep integrations for the entire modern data ecosystem and the legacy systems you still rely on.
Recognition from industry experts
Exemplary
Actian is Exemplary in the 2025 Data Products Buyers Guide. Read ISG’s evaluation of Actian’s data product capabilities, including strengths across product experience and customer experience.
Exemplary
Actian Data Observability earns Exemplary recognition in the 2025 Data Observability Buyers Guide. See Actian’s highlighted strengths and read a quote from the analyst.
Metadata Management Solution of the Year
The 2025 Data Breakthrough Award recognizes the breakthrough innovation of the Actian Data Intelligence Platform.
FAQ
Data observability is the practice of continuously monitoring the health, freshness, volume, distribution, and schema of data across pipelines and systems. It enables teams to detect data issues early, understand root causes, and prevent broken analytics, dashboards, and AI models.
Within a broader data intelligence approach, data observability works alongside governance, metadata management, and lineage to ensure data can be trusted and used responsibly across the enterprise.
As part of a data intelligence platform, data observability connects real-time quality signals with metadata and lineage, providing the context needed to understand how data behaves and how changes impact downstream analytics and AI. This visibility helps organizations keep data reliable, explainable, and ready for analytics and AI at scale.
Data quality focuses on validating whether data meets defined rules at a point in time, such as accuracy or completeness. Data observability goes further by continuously monitoring data behavior, detecting unexpected changes, and identifying root causes before issues impact the business.
While data quality measures correctness, data observability ensures ongoing reliability—especially critical for analytics and AI systems that depend on fresh, stable data.
Observability refers to the ability to understand the internal state of a system by analyzing its outputs. In data environments, observability focuses on monitoring how data behaves as it moves through pipelines, transformations, and downstream consumption.
Data observability applies observability principles specifically to data, enabling teams to detect anomalies, understand impact, and maintain trust in data-driven systems.
Actian Data Observability is natively integrated with metadata, lineage, and governance within the Actian Data Intelligence Platform. This allows teams to not only detect data issues, but also understand why they occurred and who is impacted.
By connecting observability signals to business context and lineage, Actian enables faster remediation, stronger trust, and AI-ready data at enterprise scale.
Unlock the Full Potential of Your Data + AI Initiatives
Ready to build reliable, AI-ready data products? Schedule a meeting with one of our data observability experts to:
- Understand how Actian Data Observability provides comprehensive visibility and ensures the health of your data pipelines.
- Explore the features that proactively detect issues and minimize business impact.
- Get insights into how to integrate data observability seamlessly with your existing data stack.
Ready to Dive Deeper? Request a personalized meeting today.
Connect With an Actian Specialist
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