Real-Time & Cloud-Native Observability Database
for metrics, logs, and traces

Delivers sub-second querying at PB scale and exceptional cost efficiency from edge to cloud.

User Guide | API Docs | Roadmap 2025

• Introduction
• ⭐ Key Features
• Quick Comparison
• Architecture
• Try GreptimeDB
• Getting Started
• Build From Source
• Tools & Extensions
• Project Status
• Community
• License
• Commercial Support
• Contributing
• Acknowledgement

Introduction

GreptimeDB is an open-source, cloud-native database that unifies metrics, logs, and traces, enabling real-time observability at any scale — across edge, cloud, and hybrid environments.

Features

Feature	Description
All-in-One Observability	OpenTelemetry-native platform unifying metrics, logs, and traces. Query via SQL, PromQL, and Flow.
High Performance	Written in Rust with rich indexing (inverted, fulltext, skipping, vector), delivering sub-second responses at PB scale.
Cost Efficiency	50x lower operational and storage costs with compute-storage separation and native object storage (S3, Azure Blob, etc.).
Cloud-Native & Scalable	Purpose-built for Kubernetes with unlimited cross-cloud scaling, handling hundreds of thousands of concurrent requests.
Developer-Friendly	SQL/PromQL interfaces, built-in web dashboard, REST API, MySQL/PostgreSQL protocol compatibility, and native OpenTelemetry support.
Flexible Deployment	Deploy anywhere from ARM-based edge devices (including Android) to cloud, with unified APIs and efficient data sync.

✅ Perfect for:

• Unified observability stack replacing Prometheus + Loki + Tempo
• Large-scale metrics with high cardinality (millions to billions of time series)
• Large-scale observability platform requiring cost efficiency and scalability
• IoT and edge computing with resource and bandwidth constraints

Learn more in Why GreptimeDB and Observability 2.0 and the Database for It.

Quick Comparison

Feature	GreptimeDB	Traditional TSDB	Log Stores
Data Types	Metrics, Logs, Traces	Metrics only	Logs only
Query Language	SQL, PromQL	Custom/PromQL	Custom/DSL
Deployment	Edge + Cloud	Cloud/On-prem	Mostly central
Indexing & Performance	PB-Scale, Sub-second	Varies	Varies
Integration	REST API, SQL, Common protocols	Varies	Varies

Performance:

• GreptimeDB tops JSONBench's billion-record cold run test!
• TSBS Benchmark

Read more benchmark reports.

Architecture

GreptimeDB can run in two modes:

• Standalone Mode - Single binary for development and small deployments
• Distributed Mode - Separate components for production scale:
  • Frontend: Query processing and protocol handling
  • Datanode: Data storage and retrieval
  • Metasrv: Metadata management and coordination

Read the architecture document. DeepWiki provides an in-depth look at GreptimeDB:

Try GreptimeDB

docker pull greptime/greptimedb

docker run -p 127.0.0.1:4000-4003:4000-4003 \
  -v "$(pwd)/greptimedb_data:/greptimedb_data" \
  --name greptime --rm \
  greptime/greptimedb:latest standalone start \
  --http-addr 0.0.0.0:4000 \
  --rpc-bind-addr 0.0.0.0:4001 \
  --mysql-addr 0.0.0.0:4002 \
  --postgres-addr 0.0.0.0:4003

Dashboard: http://localhost:4000/dashboard

Read more in the full Install Guide.

Troubleshooting:

• Cannot connect to the database? Ensure that ports 4000, 4001, 4002, and 4003 are not blocked by a firewall or used by other services.
• Failed to start? Check the container logs with docker logs greptime for further details.

Getting Started

• Quickstart
• User Guide
• Demo Scenes
• FAQ

Build From Source

Prerequisites:

• Rust toolchain (nightly)
• Protobuf compiler (>= 3.15)
• C/C++ building essentials, including gcc/g++/autoconf and glibc library (eg. libc6-dev on Ubuntu and glibc-devel on Fedora)
• Python toolchain (optional): Required only if using some test scripts.

Build and Run:

make
cargo run -- standalone start

Tools & Extensions

• Kubernetes: GreptimeDB Operator
• Helm Charts: Greptime Helm Charts
• Dashboard: Web UI
• gRPC Ingester: Go, Java, C++, Erlang, Rust
• Grafana Data Source: GreptimeDB Grafana data source plugin
• Grafana Dashboard: Official Dashboard for monitoring

Project Status

Status: Beta — marching toward v1.0 GA! GA (v1.0): January 10, 2026

• Deployed in production by open-source projects and commercial users
• Stable, actively maintained, with regular releases (version info)
• Suitable for evaluation and pilot deployments

GreptimeDB v1.0 represents a major milestone toward maturity — marking stable APIs, production readiness, and proven performance.

Roadmap: Beta1 (Nov 10) → Beta2 (Nov 24) → RC1 (Dec 8) → GA (Jan 10, 2026), please read v1.0 highlights and release plan for details.

For production use, we recommend using the latest stable release.

If you find this project useful, a ⭐ would mean a lot to us!

Community

We invite you to engage and contribute!

• Slack
• Discussions
• Official Website
• Blog
• LinkedIn
• X (Twitter)
• YouTube

License

GreptimeDB is licensed under the Apache License 2.0.

Commercial Support

Running GreptimeDB in your organization? We offer enterprise add-ons, services, training, and consulting. Contact us for details.

Contributing

• Read our Contribution Guidelines.
• Explore Internal Concepts and DeepWiki.
• Pick up a good first issue and join the #contributors Slack channel.

Acknowledgement

Special thanks to all contributors! See AUTHORS.md.

• Uses Apache Arrow™ (memory model)
• Apache Parquet™ (file storage)
• Apache DataFusion™ (query engine)
• Apache OpenDAL™ (data access abstraction)