Coralogix Named a Leader in Gartner’s 2026 Magic Quadrant for Observability Platforms

Coralogix recognized for its Ability to Execute and Completeness of Vision

Coralogix, the data and AI platform for observability, today announced it has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms.

From Raw Telemetry to Business Insight

Coralogix’s recognition as a leader comes at a time when observability is entering a new era. AI-powered applications are generating operational data at unprecedented scale, while AI agents are increasingly investigating incidents, analyzing production behavior, and helping teams operate complex systems in real time. As organizations adopt AI across their businesses, observability is evolving from a monitoring tool into a critical intelligence layer for modern operations.

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“Observability is becoming one of the most valuable data assets an organization owns,” said Ariel Assaraf, CEO and co-founder of Coralogix. “For years, observability platforms were built primarily for human operators. Now AI systems are becoming operational participants themselves. They investigate incidents, explain anomalies, and help teams understand increasingly complex environments. We built Coralogix around complete data, real-time processing, and open access long before AI agents arrived. We didn’t reposition for this shift. We were built for it. And we feel our recognition as a Leader in the Gartner® Magic Quadrant for Observability Platforms represents this shift.”

The Intelligence Layer for Modern Operations

Built on a streaming-first architecture, Coralogix enables organizations to capture, process, and operationalize telemetry in real time. Its platform combines logs, metrics, traces, application performance monitoring, security, AI observability, and autonomous investigation capabilities on a unified data foundation. Core technologies including Streama, DataPrime, and Olly help organizations move from dashboard-driven operations toward increasingly intelligent and automated workflows.

“We believe the next generation of observability platforms will be defined not only by what they help engineers see, but by what they enable AI systems to understand, investigate, and act upon,” Assaraf adds.

Coralogix recently announced a $200 million Series F financing and continues to invest in AI-native observability, data infrastructure, and global enterprise expansion. Today, the platform processes petabytes of production data daily and supports organizations operating at the scale, complexity, and speed required by the AI era.

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