GroveStreams vs openGemini
GroveStreams
grovestreams.com
openGemini
opengemini.orgSide by side
| Figure | GroveStreams | openGemini |
|---|---|---|
| Price from | $599/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 8 | 1 |
| Spec score · Time-Series Databases | 8.3 (#9) | 8.5 (#8) |
| Security | The maker states that role-based access control is enforced in the query engine and lists a SOC 2-certified data center, SSL/TLS, two-factor authentication, and scoped API keys. | Username and password authentication is supported but disabled by default in the configuration; HTTPS also requires configuration to enable. |
| Use cases | The maker says the platform is especially suited for energy, manufacturing, and buildings. | The project describes monitoring and observability, IoT, and operations data analysis as typical application scenarios. |
Plans
GroveStreams
- Startup$599 a month
- Growth$1,799 a month
- Business$5,999 a month
- TrialFree
- StrategicPriced on request
- BusinessPrice not published
- GrowthPrice not published
- StartupPrice not published
In their own words
GroveStreams
GroveStreams 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.