GreptimeDB | MCP Market

GreptimeDB

GreptimeDB — это открытая облачно-ориентированная СУБД для сбора и анализа данных наблюдаемости (метрик, логов и трассировок) в реальном времени, масштабируется для работы с большими объёмами данных.

GreptimeDB Logo

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.

Introduction

GreptimeDB is an open-source, cloud-native database purpose-built for the unified collection and analysis of observability data (metrics, logs, and traces). Whether you’re operating on the edge, in the cloud, or across hybrid environments, GreptimeDB empowers real-time insights at massive scale — all in one system.

Features

| Feature | Description | | --------- | ----------- | | Unified Observability Data | Store metrics, logs, and traces as timestamped, contextual wide events. Query via SQL, PromQL, and streaming. | | High Performance & Cost Effective | Written in Rust, with a distributed query engine, rich indexing, and optimized columnar storage, delivering sub-second responses at PB scale. | | Cloud-Native Architecture | Designed for Kubernetes, with compute/storage separation, native object storage (AWS S3, Azure Blob, etc.) and seamless cross-cloud access. | | Developer-Friendly | Access via SQL/PromQL interfaces, REST API, MySQL/PostgreSQL protocols, and popular ingestion protocols. | | Flexible Deployment | Deploy anywhere: edge (including ARM/Android) or cloud, with unified APIs and efficient data sync. |

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, Streaming| Custom/PromQL | Custom/DSL | | Deployment | Edge + Cloud | Cloud/On-prem | Mostly central | | Indexing & Performance | PB-Scale, Sub-second | Varies | Varies | | Integration | REST, SQL, Common protocols | Varies | Varies |

Performance:

Read more benchmark reports.

Architecture

Try GreptimeDB

1. Live Demo

Experience GreptimeDB directly in your browser.

2. GreptimeCloud

Start instantly with a free cluster.

3. Docker (Local Quickstart)

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 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

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

Project Status

Status: Beta. GA (v1.0): Targeted for mid 2025.

  • Being used in production by early adopters
  • Stable, actively maintained, with regular releases (version info)
  • Suitable for evaluation and pilot deployments

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

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

Community

We invite you to engage and contribute!

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

Acknowledgement

Special thanks to all contributors! See AUTHORS.md.