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GreptimeTeam/greptimedb: Open-source, cloud-native, unified observability database for metrics, logs and traces, supporting SQL/PromQL/Streaming. Available on GreptimeCloud.

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.

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.

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.

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.

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

Experience GreptimeDB directly in your browser.

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.

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

Kubernetes: GreptimeDB Operator
Helm Charts: Greptime Helm Charts
Dashboard: Web UI
SDKs/Ingester: Go, Java, C++, Erlang, Rust, JS
Grafana: Official Dashboard

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.

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

We invite you to engage and contribute!

GreptimeDB is licensed under the Apache License 2.0.

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

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

Special thanks to all contributors! See AUTHORS.md.

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

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