openGemini vs OpenTSDB
openGemini
opengemini.orgOpenTSDB
opentsdb.netSide by side
| Figure | openGemini | OpenTSDB |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Time-Series Databases | 8.5 (#8) | 7.6 (#26) |
| Analysis | The built-in AI data analysis platform provides real-time anomaly detection for time-series data. | Queries support tag filters, aggregation, downsampling, rate conversion, functions, and expressions. |
| Purpose | openGemini is an open-source, cloud-native distributed time-series database for storing and analyzing large volumes of time-series data. | OpenTSDB stores and serves large volumes of time-series data while preserving granularity. |
| Security | Username and password authentication is supported but disabled by default in the configuration; HTTPS also requires configuration to enable. | The FAQ says OpenTSDB has not undergone a security review and does not include authentication, and recommends restricting untrusted access through a secured HTTP proxy. |
| Storage | It uses column-based storage and describes data compression, automatic partitioning, and LSM-based storage techniques. | The homepage says data is stored as provided, supports millisecond precision, and can be kept indefinitely. |
Plans
In their own words
openGemini
openGemini is a free, open-source distributed database for storing and analyzing time-series data, including metrics, logs, and traces. Its stated application areas include monitoring and observability, IoT, and operations analysis. The system uses an MPP architecture with ts-sql, ts-meta, and ts-store components that can be scaled independently. Column-based storage, compression, automatic partitioning, and LSM-based techniques are part of its storage design. A built-in AI analysis platform provides real-time anomaly detection. Query options include InfluxQL, PromQL, and GeminiQL; ingestion methods include InfluxDB Line Protocol, Apache Arrow Flight, and Prometheus remote_write. It also provides HTTP APIs for expression and metadata queries and remote reads and writes. Deployment is supported on Linux, macOS, and Windows, as well as through Docker and Kubernetes. Authentication is disabled by default and must be enabled in configuration. PromQL compatibility covers 90% of Prometheus functions and operators, with some unsupported.