IBM QRadar SIEM vs Query.AI Query: Side-by-Side Comparison (2026)

IBM QRadar SIEM: SIEM platform for centralized security visibility and threat detection. built by IBM. Core capabilities include Real-time threat detection, User and entity behavior analytics (UBA), Network detection and response (NDR)..

Query.AI Query: Federated search platform for querying distributed security data in place. built by Query.AI. Core capabilities include Federated search across distributed data sources without data duplication or movement, In-flight data normalization, enrichment, correlation, and deduplication, Pre-built static and dynamic API connectors to security and business data sources..

Both serve the Security Information and Event Management market but differ in approach, feature depth, and target audience.

IBM QRadar SIEM differentiates with Real-time threat detection, User and entity behavior analytics (UBA), Network detection and response (NDR). Query.AI Query differentiates with Federated search across distributed data sources without data duplication or movement, In-flight data normalization, enrichment, correlation, and deduplication, Pre-built static and dynamic API connectors to security and business data sources.

IBM QRadar SIEM is developed by IBM. Query.AI Query is developed by Query.AI. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

IBM QRadar SIEM and Query.AI Query serve similar Security Information and Event Management use cases: both are Security Information and Event Management tools, both cover Log Management. Review the feature comparison above to determine which fits your requirements.