GreptimeDB – A distributed, cloud-native, time-series database written in Rust
GitHub - GreptimeTeam/greptimedb: An open-source, cloud-native, unified time series database for metrics, logs and events with SQL/PromQL supported. Available on GreptimeCloud.

  
    
    
    
  

Unified & Cost-Effective Time Series Database for Metrics, Logs, and Events


Introduction
Features: Why GreptimeDB
Architecture
Try it for free
Getting Started
Project Status
Join the community

Contributing


Extension
License
Acknowledgement

Introduction
GreptimeDB is an open-source unified & cost-effective time-series database for Metrics, Logs, and Events (also Traces in plan). You can gain real-time insights from Edge to Cloud at Any Scale.
Why GreptimeDB
Our core developers have been building time-series data platforms for years. Based on our best-practices, GreptimeDB is born to give you:


Unified all kinds of time series
GreptimeDB treats all time series as contextual events with timestamp, and thus unifies the processing of metrics, logs, and events. It supports analyzing metrics, logs, and events with SQL and PromQL, and doing streaming with continuous aggregation.


Cloud-Edge collaboration
GreptimeDB can be deployed on ARM architecture-compatible Android/Linux systems as well as cloud environments from various vendors. Both sides run the same software, providing identical APIs and control planes, so your application can run at the edge or on the cloud without modification, and data synchronization also becomes extremely easy and efficient.


Cloud-native distributed database
By leveraging object storage (S3 and others), separating compute and storage, scaling stateless compute nodes arbitrarily, GreptimeDB implements seamless scalability. It also supports cross-cloud deployment with a built-in unified data access layer over different object storages.


Performance and Cost-effective
Flexible indexing capabilities and distributed, parallel-processing query engine, tackling high cardinality issues down. Optimized columnar layout for handling time-series data; compacted, compressed, and stored on various storage backends, particularly cloud object storage with 50x cost efficiency.


Compatible with InfluxDB, Prometheus and more protocols
Widely adopted database protocols and APIs, including MySQL, PostgreSQL, and Prometheus Remote Storage, etc. Read more.


Try GreptimeDB
1. GreptimePlay
Try out the features of GreptimeDB right from your browser.
2. GreptimeCloud
Start instantly with a free cluster.
3. Docker Image
To install GreptimeDB locally, the recommended way is via Docker:
docker pull greptime/greptimedb
Start a GreptimeDB container with:
docker run --rm --name greptime --net=host greptime/greptimedb standalone start
Read more about Installation on docs.
Getting Started

Quickstart
User Guide
Demos
FAQ

Build
Check the prerequisite:

Rust toolchain (nightly)
Protobuf compiler (>= 3.15)
Python toolchain (optional): Required only if built with PyO3 backend. More detail for compiling with PyO3 can be found in its documentation.

Build GreptimeDB binary:

Run a standalone server:
cargo run -- standalone start
Extension
Dashboard

The dashboard UI for GreptimeDB

SDK

GreptimeDB Go Ingester
GreptimeDB Java Ingester
GreptimeDB C++ Ingester
GreptimeDB Erlang Ingester
GreptimeDB Rust Ingester
GreptimeDB JavaScript Ingester

Grafana Dashboard
Our official Grafana dashboard is available at grafana directory.
Project Status
The current version has not yet reached the standards for General Availability.
According to our Greptime 2024 Roadmap, we aim to achieve a production-level version with the release of v1.0 by the end of 2024. Join Us
We welcome you to test and use GreptimeDB. Some users have already adopted it in their production environments. If you're interested in trying it out, please use the latest stable release available.
Community
Our core team is thrilled to see you participate in any ways you like. When you are stuck, try to
ask for help by filling an issue with a detailed description of what you were trying to do
and what went wrong. If you have any questions or if you would like to get involved in our
community, please check out:

GreptimeDB Community on Slack
GreptimeDB GitHub Discussions forum
Greptime official website

In addition, you may:

View our official Blog
Connect us with Linkedin
Follow us on Twitter

Commerial Support
If you are running GreptimeDB OSS in your organization, we offer additional
enterprise addons, installation service, training and consulting. Contact
us and we will reach out to you with more
detail of our commerial license.
License
GreptimeDB uses the Apache License 2.0 to strike a balance between
open contributions and allowing you to use the software however you want.
Contributing
Please refer to contribution guidelines and internal concepts docs for more information.
Acknowledgement
Special thanks to all the contributors who have propelled GreptimeDB forward. For a complete list of contributors, please refer to AUTHOR.md.

GreptimeDB uses Apache Arrow™ as the memory model and Apache Parquet™ as the persistent file format.
GreptimeDB's query engine is powered by Apache Arrow DataFusion™.
Apache OpenDAL™ gives GreptimeDB a very general and elegant data access abstraction layer.
GreptimeDB's meta service is based on etcd.
GreptimeDB uses RustPython for experimental embedded python scripting.

