openGemini

A time-series database for observability, focusing on the storage and analysis of massive data.

Features


High Cardinality

A new high cardinality storage engine solves problems such as excessive index memory usage and low read and write performance

Observability

Metrics, Logs and Traces can be stored in openGeminiļ¼Œprovide a basis for data association analysis

Low O&M Costs

Scure and stable, simple architecture, quick deployment and no third-party dependencies

Data Compression

Data is stored in column format, and different data types use dedicated data compression algorithms. The data compression ratio is as high as 15:1 or higher

Application Scenarios


Blog


Join us for openGemini Talks at KubeCon China 2024

By openGemini / 2024-06-13

The topic of openGemini has successfully distinguished itself, offering developers profound insights and inspiration.

openGemini vs. Elasticsearch

By Zhenyu xie @debuger6 / 2024-06-09

provide an overview and comparison with openGemini and Elasticsearch

Four steps to teach you to automatically export flame graphs

By shilin.lee / 2024-02-02

A good helper for operations engineers

openGemini: Batch Query Optimization

By Zhi Chen / 2023-11-24

This article introduces what is batch query and the performance problems caused by serial execution of batch query. openGemini makes full use of the powerful concurrent processing capability of Go language to carry out concurrent transformation of serial query, and proposes an adaptive parallel query task scheduler to solve the performance problems of serial query.

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Community

Gemini is open source.Star our GitHub repo,follow us on Twitter,and join our developer community on Slack

Contribution

We look forward to working with more enterprises, universities and developers to jointly promote technological innovation

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