Grafana Cloud vs. Cube

Grafana Labs provides 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, delivering full-stack visibility across modern applications, infrastructure, and digital services. Built on open source, open standards, and open ecosystems, the platform unifies metrics, logs, traces, and profiles into a scalable observability experience that helps teams detect issues earlier, resolve incidents faster, and operate more efficiently. At the core of Grafana Cloud is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for scalable metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support make it easy to collect telemetry from any environment, while hundreds of integrations connect existing systems and tools—allowing organizations to extend observability without vendor lock-in. Grafana Cloud also introduces powerful AI-driven observability capabilities. Grafana Assistant helps teams explore data, investigate incidents, and troubleshoot faster through an intelligent interface built for engineers. Adaptive Telemetry identifies high-value signals and aggregates the rest, helping organizations reduce telemetry costs while maintaining operational insight. With solutions spanning Kubernetes monitoring, application and infrastructure observability, frontend monitoring, database observability, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers the clarity teams need to move faster and operate with confidence.

Cube is an AI-powered business intelligence and data analytics platform that combines a universal semantic layer, conversational analytics, and developer infrastructure for building governed data applications. The software connects to cloud data warehouses, relational databases, and other enterprise data sources to provide a consistent foundation for analytics across organizations. Its semantic modeling capabilities allow data teams to define business metrics, dimensions, relationships, calculations, and access policies in a centralized configuration. These standardized definitions ensure that dashboards, reporting applications, embedded analytics, and AI assistants use consistent business logic when retrieving information. Cube Analytics Chat enables users to ask natural language questions about business performance and receive responses based on governed data models and verified calculations. Its Workbooks feature combines SQL editing, visual data exploration, and an AI assistant that helps analysts construct queries, investigate trends, and refine analyses. Dashboard tools support conversational chart generation, interactive reporting, and visualization of operational and financial metrics. The platform provides an AI context layer that supplies autonomous agents with business definitions, data lineage, access permissions, and contextual information from connected enterprise applications. Model Context Protocol integrations allow ChatGPT, Claude, Cursor, Slack-based agents, and custom AI systems to retrieve information and execute authorized analytical workflows. Cube's embedded analytics capabilities include customizable dashboards, conversational interfaces, multi-tenant security, and REST, GraphQL, and SQL APIs for integrating data experiences into customer-facing applications.