LinDB
6.9#6 in time-series databasesFree planFree planWebAPILinuxmacOS
VisitLinDB vs TDengine
What both publish
| Fact | LinDB | TDengine |
|---|---|---|
| Data model | LinDB uses a schema-free multidimensional data model with metrics, tags, and fields. | TDengine uses one-table-per-data-collection-point, super-table and virtual-table models designed for time-series storage efficiency. |
| Deployment | The documentation describes standalone and cluster modes, and deployment as a binary with ETCD as its external dependency. | Self-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, or hybrid clouds. |
| Integrations | The documentation says data ingestion currently supports FlatBuffers, Protocol Buffers, and InfluxDB protocols. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
| Support | The product page links to GitHub channels for feature requests, bug reports, and questions. | Annual licenses include business-hours standard support, while premium support offers 24×7 Severity 1 coverage; free-tier support is optional at $3,375 per year. |
LinDB plans
- LinDBFree
TDengine plans
- Free TierFree
- Self-hosted Free TierFree
- TDengine Cloud Starter$970 a month
- Starter$970 a month
- TDengine Cloud Small$1,740 a month
- TDengine Cloud Medium$2,570 a month
Pick LinDB if…
LinDB suits teams monitoring numeric metrics across infrastructure, services, applications, or IoT deployments. It may also fit organizations that need horizontal scaling, replicas, and multi-IDC operation.
Pick TDengine if…
TDengine is designed for industrial enterprises and organizations running traditional data historians or legacy industrial IoT platforms, especially those needing time-series ingestion and analysis.