openGemini
openGemini: A flexible open-source choice for InfluxQL and PromQL deployments. Ranked #19 of 36 in Time-Series Databases by our editors (5.7/10); pricing: Open source; best for influxQL or PromQL open-source deployments.
At a glance
- Editor score5.7 / 10
- PricingOpen source
- Best forInfluxQL or PromQL open-source deployments
- Paid fromNone
- DeploymentSelf_hosted
- Facts checked22 Sep 2026
Where it wins
- Supports standalone and clustered deployments
- Offers independently scalable distributed MPP components
- Works with InfluxQL, PromQL, Prometheus, and InfluxDB APIs
Where it doesn't
- Self-hosted deployment requires infrastructure management
- Its feature set centers on time-series workloads
- Established since 2022, it has a shorter project history
Our verdict on openGemini
openGemini is an open-source, cloud-native distributed time-series database for observability data, including metrics, logs, and traces. It supports Linux, macOS, Windows, Docker, Kubernetes, virtual machines, and physical machines, with both standalone and clustered deployment options. Teams that need control over their deployment environment and compatibility with InfluxDB or Prometheus tooling are the clearest fit. Its free open-source model also suits organizations building their own time-series stack rather than selecting a managed service.
The standout capability is its distributed MPP architecture, where components can be scaled independently. That design is paired with configurable retention policies and shard durations for managing time-series data over time. Query support covers both InfluxQL and PromQL, while ingestion includes InfluxDB line protocol, Apache Arrow Flight, and Prometheus remote read/write. This gives openGemini a broad compatibility layer for observability pipelines, especially when existing systems already use Prometheus, Grafana, Kubernetes, or the InfluxDB SDK.
openGemini is strongest for teams that want deployment flexibility and open-source control without giving up familiar query and ingestion interfaces. Its breadth across protocols and deployment models makes it suitable for both smaller standalone installations and clustered environments with independently scalable components. The trade-off is that self-hosted software places infrastructure, operations, and ongoing administration with the adopting team. Organizations seeking a hosted experience or a longer-established project may prefer an alternative; teams prioritizing InfluxQL or PromQL compatibility and direct control should consider openGemini.
openGemini pricing
openGemini fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | None |
| Deployment | Self_hosted |
| SQL support | Yes |
| Retention policies | Yes |
| Horizontal scaling | Yes |
| Query languages | InfluxQL, PromQL, GeminiQL |
| Ingestion methods | InfluxDB Line Protocol, Apache Arrow Flight, Prometheus remote_write |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Community, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: Prometheus, Grafana |
| Pricing | Open source |
| Website | opengemini.org |
| Facts checked | 22 Sep 2026 |
openGemini integrations
openGemini lists 2 integrations on its own site.
- Prometheus
- Grafana
Alternatives to openGemini
- Apache IoTDBA focused open-source choice for high-volume IoT ingestion, SQL, retention, and scaling.9.0
- Amazon TimestreamA managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.8.6
- LindormTSDBA broad compatibility layer for teams managing scalable telemetry and metrics workloads.8.1
See all openGemini alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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