Actian, the data division of HCLSoftware, is introducing Actian Data Observability, leveraging AI and machine learning for comprehensive data quality monitoring as well as anomaly detection and resolution.
According to the company, by ensuring high data quality and trustworthiness, Actian helps enterprises accelerate AI initiatives, increase the speed of innovation, and reduce risk.
"Enterprises depend on data to power decisions, drive AI initiatives and meet regulatory demands—but too often face unreliable data, hidden quality issues and ballooning cloud costs," said Emma McGrattan, CTO at Actian. "Actian Data Observability gives teams the visibility and confidence they need to trust their data, reduce risk and control spend—turning data from a liability into a competitive advantage."
Unlike reactive, rule-based approaches, Actian Data Observability defines and runs thousands of data quality rules concurrently across the entire data landscape, the company said.
Monitoring includes critical dimensions such as freshness, volume, schema drift, distribution patterns, and custom business rules. ML-driven anomaly detection automatically identifies outliers, drifts and unexpected patterns, while providing valuable root-cause analysis suggestions to facilitate faster resolution.
Actian Data Observability scales to connect any dataset in the ecosystem so enterprises can maintain data integrity without compromising performance or creating bottlenecks in their data pipelines.
With this solution, Actian optimizes cloud resource consumption without data sampling, ensuring predictable cloud costs and preventing unexpected cost surges, according to the vendor.
Built for enterprises operating complex, high-volume modern data stacks, Actian Data Observability supports the following use cases:
- Data pipeline efficiency
- AI lifecycle monitoring
- Safe self-service analytics
Built on an open architecture, Actian Data Observability integrates seamlessly with cloud data warehouses, data lakes, lakehouses, and streaming platforms.
By isolating data quality workloads from production infrastructure, Actian prevents performance degradation and impact to business operations in production environments.
For managing large analytical datasets, Actian provides a native Apache Iceberg integration to ensure accurate insights, quality checks, and change tracking across systems. Additionally, to protect data security and privacy, Actian Data Observability accesses metadata and runs checks directly where data resides, eliminating the need for insecure or costly data copies.
Actian Data Observability will be available globally in June 2025 and will be available as part of the Actian Data Intelligence Platform in the fall of 2025.
For more information about this news, visit www.actian.com.