Axibase Time Series Database vs openGemini
Axibase Time Series Database
axibase.com
openGemini
opengemini.orgSide by side
| Figure | Axibase Time Series Database | openGemini |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Time-Series Databases | 7.6 (#25) | 8.5 (#8) |
| Analysis | ATSD supports SQL queries, and its SQL Console can export results in CSV, JSON, and Excel formats or store them as derived series. | The built-in AI data analysis platform provides real-time anomaly detection for time-series data. |
| Deployment | ATSD installation package documentation lists Linux distributions including Ubuntu, Debian, RHEL/CentOS, and SLES. | The installation guide describes Linux, macOS, and Windows support; it recommends macOS and Windows for development and debugging. |
| Purpose | ATSD stores time series, timestamped messages, and entity properties; time series can be analyzed with SQL and visualized with graphs. | openGemini is an open-source, cloud-native distributed time-series database for storing and analyzing large volumes of time-series data. |
| Security | ATSD supports form, basic, and token authentication; tokens can expire automatically and be restricted by IP address. | Username and password authentication is supported but disabled by default in the configuration; HTTPS also requires configuration to enable. |
Plans
In their own words
Axibase Time Series Database
Axibase Time Series Database has no write-up on Specifiction yet; its figures are above.
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.