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Process metrics, logs, and traces in real-time through the unified OpenTelemetry-native database with full SQL, PromQL, and streaming processing support. Replaces complex legacy data stacks with a high-performance single solution.
50x lower operational and storage costs through a compute-storage separation architecture. Scale flexibly across cloud storage systems (e.g., S3, Azure Blob Storage) for simplified management, dramatic cost efficiency, and no vendor lock‑in.
Access standardized SQL/PromQL interfaces through built-in web dashboard, REST API, and MySQL/PostgreSQL protocols. Natively supports OpenTelemetry and other widely adopted data ingestion protocols for seamless migration and integration.
Built with Rust for high performance and reliability. Rich indexing options (inverted, fulltext, skipping, and vector) accelerate queries, enabling sub-second responses on petabyte-scale datasets and handling hundreds of thousands of concurrent requests.
Purpose-built for Kubernetes and cloud environments with industry-leading compute-storage separation, enabling unlimited cross-cloud scaling. Efficiently manages cardinality explosion at a massive scale.
Deploy GreptimeDB anywhere from ARM-based edge devices to cloud environments with unified APIs and bandwidth-efficient data synchronization. Query edge and cloud data seamlessly through identical APIs.
Enterprise clustering and professional support
Fully-managed cloud service with auto-optimization
Specialized automotive and IoT integration
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