openGemini vs TDengine
openGemini
opengemini.org
TDengine
tdengine.comSide by side
| Figure | openGemini | TDengine |
|---|---|---|
| Price from | Free | $281.25/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 12 |
| Spec score · Time-Series Databases | 8.5 (#8) | 8.8 (#4) |
| Deployment | The installation guide describes Linux, macOS, and Windows support; it recommends macOS and Windows for development and debugging. | Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, or hybrid clouds. |
| What it does | openGemini is an open-source, cloud-native distributed time-series database for storing and analyzing massive time-series data. | TDengine is an AI-native industrial data platform combining a distributed time-series database with industrial data management, contextualization, analytics and AI capabilities. |
Plans
TDengine
- Free TierFree
- Self-hosted Free TierFree
- Starter$970 a month
- TDengine Cloud Starter$970 a month
- TDengine Cloud Small$1,740 a month
- TDengine Cloud Medium$2,570 a month
- Optional Annual Support$3,375 a year
- Starter$11,640 a year
- 7,500-tag Annual License$12,500 a year
- Self-hosted 7,500-tag annual license$12,500 a year
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.
TDengine
TDengine is an industrial data platform combining data ingestion, storage, analytics, modeling, visualization, and AI applications. Its two core components are TDengine TSDB and TDengine IDMP; TSDB is a distributed time-series database with built-in caching, stream processing, and data subscription. The platform connects to industrial sources including OPC, MQTT, and Kafka, and includes ETL for data cleaning and transformation. It offers a REST API described by OpenAPI, plus JDBC, ODBC, Kafka, MQTT, iframe embedding, and an Excel Add-In. Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, and hybrid clouds. Managed TDengine Cloud is offered on Amazon Web Services, Microsoft Azure, and Google Cloud Platform. TDengine TSDB-OSS is open source under AGPL and includes clustering. The self-hosted Free Tier covers up to 5,000 tags. Listed plans include Starter at $970 a month, a 7,500-tag self-hosted annual license at $12,500 a year, and a 7,500-tag self-hosted perpetual license at $31,250 as a one-time purchase.