Compare Grafana Cloud vs. Huawei APM

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.

Seamlessly integrates with applications without requiring any code alterations while gathering performance metrics in a non-intrusive manner. It ensures high throughput to maintain an exceptional user experience. Utilizing AI-driven threshold detection and machine learning with historical data, it effectively identifies root causes of issues. Additionally, it offers O&M data query APIs and collection standards, facilitating independent development efforts. Features such as application auto-discovery, transaction analysis, and Apdex metrics are employed to uncover issues and enhance user satisfaction. It supports popular Java frameworks, web containers, communication protocols, and databases, allowing straightforward access to applications without code modifications. Full-stack tracing monitors messages from web browsers all the way to servers and databases, providing detailed code-level operational maintenance. APM delivers not only application performance tracking but also comprehensive topology views, enabling real-time application monitoring and swift fault diagnosis. Ultimately, this creates a robust environment for optimizing application performance and user engagement.