Compare Grafana Cloud vs. Trace

Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises. Grafana Cloud is the open observability cloud, designed to help engineering teams observe everything and solve anything. Built on open source, open standards, and open ecosystems, it unifies metrics, logs, traces, and profiles in a single platform for full-stack visibility across applications, infrastructure, and digital experiences. At the core is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support allow teams to ingest telemetry from virtually any environment, while hundreds of integrations connect existing tools and data sources without costly rip-and-replace migrations. Grafana Cloud combines powerful analytics with AI-driven observability. Grafana Assistant helps engineers investigate issues, explore telemetry, and troubleshoot faster. Adaptive Telemetry identifies the data that matters most and aggregates the rest, helping organizations reduce telemetry costs while preserving valuable insights . With solutions for Kubernetes monitoring, application observability, digital experience monitoring, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers a complete observability platform that scales with your business.

Trace is an innovative automated platform for KPI analysis that empowers teams to understand the reasons behind shifts in business metrics without the hassle of navigating dashboards or enduring long wait times for insights. By utilizing metric trees, it links KPIs to their fundamental drivers within a communal and computable performance model, enabling analyses that are not only repeatable and clear but also conducive to dependable AI-driven insights. Trace meticulously dissects performance, identifies and ranks significant drivers of change, evaluates actual outcomes against projections, uncovers anomalies, and examines various segments, thus allowing teams to transition from inquiries to definitive explanations in mere minutes. In contrast to conventional dashboards that merely illustrate past events or AI assistants that require user guidance for investigative processes, Trace equips its AI agent with embedded analytical capabilities to autonomously execute the analyst's workflow. Furthermore, teams can initiate their journey with one or two essential KPIs, customize templates to their liking, and seamlessly integrate the platform with their data warehouse without the need for extensive data migration or restructuring, ensuring a smooth onboarding experience. This functionality makes Trace an invaluable tool for organizations looking to enhance their analytical efficiency and deepen their understanding of performance drivers.