openGemini
Open SourceFundedHigh-performance, scalable time-series database for observability and data analysis
About openGemini
openGemini is an open-source, cloud-native time-series database designed for enterprises requiring efficient storage and analysis of massive observability data. It supports metrics, logs, and traces, enabling comprehensive data association analysis to troubleshoot complex systems. Built on a Massively Parallel Processing (MPP) architecture, openGemini offers distributed cluster deployment with flexible scalability to handle growing business demands and high load requirements. Its innovative high cardinality storage engine addresses common challenges such as excessive index memory usage and suboptimal read/write performance.
The platform excels in high-performance data ingestion and querying, boasting write speeds over five times faster than InfluxDB, particularly when queries involve multiple tags. Data is stored in a columnar format with specialized compression algorithms achieving ratios of 15:1 or higher, reducing storage costs and improving efficiency. With a secure, stable, and simple architecture, openGemini minimizes operational and maintenance overhead, requiring no third-party dependencies and enabling quick deployment. It is well-suited for enterprises focused on observability and time-series data analysis, providing a robust foundation for data-driven decision-making.
Key Capabilities
- ✓High-performance time-series data ingestion and querying
- ✓Massively Parallel Processing (MPP) distributed cluster architecture
- ✓Advanced high cardinality storage engine
- ✓Columnar data storage with high compression ratios
- ✓Supports metrics, logs, and traces for observability
Integrations
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