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An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.

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GreptimeDB Logo

Unified Time Series Database for Metrics, Logs, and Events

Introduction

GreptimeDB is an open-source unified 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

Try out the features of GreptimeDB right from your browser.

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

Build

Check the prerequisite:

Build GreptimeDB binary:

make

Run a standalone server:

cargo run -- standalone start

Extension

Dashboard

SDK

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:

In addition, you may:

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.

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An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.

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