Join us for a virtual meetup on Zoom at 8 PM, July 31 (PDT) about using One Time Series Database for Both Metrics and Logs 👉🏻 Register Now

GreptimeDB Open Source

Open-source, cloud-native, unified & cost-effective observability database for metrics, logs, and traces. Deploy as a standalone or cluster.

curl -L https://github.com/GreptimeTeam/greptimedb/raw/main/scripts/install.sh | sh

Integrate GreptimeDB with your preferred technology stack. Visit the Installation guide to learn more.

ingest-data/for-observability/fluent-bit

Why GreptimeDB

All-in-One Observability Database

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.

High-Performance Engine

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.

Significant Cost Reduction

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.

Infinity Scalability

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.

Developer-Friendly

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.

Flexible Deployment Options

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.