Observability
Collecting and analyzing observability data to troubleshoot the system
openGemini
A time-series database for observability, focusing on the storage and analysis of massive data.
Features
High Performance
Store and query data quickly and efficiently with automatic partitioning, LSM-based storage techniques, and better data process engineering
High Scalability
Adopting MPP architecture, support distributed cluster deployment and can be flexibly expanded as business grows to meet higher load requirements
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 openGeminiļ¼provide 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
openGemini Becomes an Official CNCF Project
On July 9, 2024, the Cloud Native Computing Foundation (CNCF) officially accepted the cloud-native high-performance time-series database project openGemini.
Join us for openGemini Talks at KubeCon China 2024
The topic of openGemini has successfully distinguished itself, offering developers profound insights and inspiration.
openGemini vs. Elasticsearch
provide an overview and comparison with openGemini and Elasticsearch
Four steps to teach you to automatically export flame graphs
A good helper for operations engineers
Join Us
Community
Gemini is open source.Star our GitHub repo,follow us on Twitter,and join our developer community on Slack
GitHub
Twitter
SlackContribution
We look forward to working with more enterprises, universities and developers to jointly promote technological innovation