TimechoDB
TimechoDB: A self-hosted industrial IoT database with SQL, native APIs, MQTT, and OPC UA. Ranked #15 of 36 in Time-Series Databases by our editors (7.5/10); pricing: Pricing on request; best for industrial IoT with native APIs and MQTT.
At a glance
- Editor score7.5 / 10
- PricingPricing on request
- Best forIndustrial IoT with native APIs and MQTT
- DeploymentBoth
- Founded2021 · Stuttgart, Germany
- Facts checked22 Sep 2026
Where it wins
- Native APIs for Java, Python, C, C++, Go, C#, Node.js, and Rust
- MQTT, OPC UA, OPC DA, JDBC, ODBC, and REST API connectivity
- Distributed clusters with device-level TTL retention rules
Where it doesn't
- Self-hosted deployment requires infrastructure management
- Pricing uses a contact-sales model
- AI capability is listed without specific features described
Our verdict on TimechoDB
TimechoDB is an enterprise time-series database for industrial and IoT workloads. It supports time-series storage and querying, SQL access for table-model data, configurable device-level TTL retention rules, and deployment across standalone, distributed cluster, dual-active, and Docker models. Its focus suits teams managing device, edge, and industrial data that need multiple ingestion paths and control over deployment. Linux and API access are supported, with Docker and Docker Compose options for containerized environments.
Pricing follows a contact-sales model, making TimechoDB a fit for organizations that prefer vendor-led evaluation, enterprise support, or customization. The product is self-hosted, so buyers should account for the operational responsibility that comes with managing infrastructure and deployments. Distributed clusters use ConfigNodes and DataNodes, and capacity can be expanded by adding DataNodes. These capabilities make the product relevant to teams planning growth beyond a single database instance, while buyers seeking a fully managed service or transparent plan comparison should consider alternatives built around those requirements.
TimechoDB’s strongest differentiator is its industrial connectivity. Native client APIs cover Java, Python, C, C++, Go, C#, Node.js, and Rust, while JDBC and ODBC support SQL-oriented access. MQTT ingestion includes a built-in broker integration, and OPC UA supports protocol integration and data push; OPC DA and REST API are also available. This breadth fits mixed industrial environments with existing devices, applications, and operational systems. Choose TimechoDB when self-hosting, protocol coverage, SQL, and cluster expansion matter together. Choose another product if you need published tier pricing, managed hosting, or a narrowly focused database with fewer deployment responsibilities.
TimechoDB pricing
TimechoDB fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Deployment | Both |
| SQL support | Yes |
| Retention policies | Yes |
| Horizontal scaling | Yes |
| Query languages | SQL |
| Ingestion methods | Java, JDBC, C, C++, C#, Go, Python, Node.js, REST, MQTT, OPC UA, OPC DA, ODBC |
| Deployment | Self-hosted |
| Platforms | Windows, macOS, Linux |
| Support | Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 15 integrations: Apache Flink, Apache Hive, Apache NiFi, Apache SeaTunnel, Apache Spark, Apache Zeppelin … See all → |
| Pricing | Pricing on request |
| Website | timecho-global.com |
| Facts checked | 22 Sep 2026 |
TimechoDB integrations
TimechoDB lists 15 integrations on its own site.
- Apache Flink
- Apache Hive
- Apache NiFi
- Apache SeaTunnel
- Apache Spark
- Apache Zeppelin
- DataEase
- DataX
- DBeaver
- Grafana
- Ignition
- Kafka
- Kettle
- Telegraf
- ThingsBoard
See all TimechoDB integrations →
Alternatives to TimechoDB
- Apache IoTDBA focused open-source choice for high-volume IoT ingestion, SQL, retention, and scaling.9.3
- Amazon TimestreamA managed AWS option with flexible ingestion, retention, SQL, and InfluxDB support.9.1
- LindormTSDBA broad compatibility layer for teams managing scalable telemetry and metrics workloads.9.0
See all TimechoDB alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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