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Process metrics, logs, and traces in real-time through the unified database with native SQL, PromQL, and streaming processing support. Replaces complex legacy data stacks with a high-performance single solution.
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.
50x lower operational and storage costs through compute-storage separation architecture. Flexible scaling across any cloud storage (S3, Azure blob storage etc.) with optional fully-managed cloud service for simplified management.
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.
Access standardized SQL/PromQL interfaces through built-in web dashboard, REST API, and MySQL/PostgreSQL protocols. Supports widely adopted data ingestion protocols for seamless migration and integration.
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.