Query.AI Query vs Vega Security Analytics Mesh Platform: Side-by-Side Comparison (2026)

Query.AI Query

Security analysts drowning in data silos will find real value in Query.AI Query because it searches across your existing infrastructure without forcing a rip-and-replace migration. The federated search model means you query Splunk, Snowflake, and S3 simultaneously from one window while data stays in place, cutting investigation time when you're correlating events across systems. This works best for mid-market and enterprise shops with mature tool stacks; smaller teams with a single SIEM won't see the payoff, and organizations wanting a centralized data warehouse should look elsewhere.

Vega Security Analytics Mesh Platform

Mid-market and enterprise security teams drowning in alert noise across multiple SIEMs will find real value in Vega Security Analytics Mesh Platform's federated search and AI-driven noise reduction, which lets you hunt across disconnected data sources without migration or re-ingestion. The platform covers DE.CM and DE.AE strongly, meaning it prioritizes detection and investigation over remediation and recovery workflows. Skip this if you need a single pane of glass for threat response across detection and incident management; Vega is built for teams comfortable keeping their existing SIEM stack while layering analytics on top.