Hydrolix
6.9#10 in olap software$0.20 usage-basedWebAPISelf-hosted
VisitHydrolix vs TDengine
What both publish
| Fact | Hydrolix | TDengine |
|---|---|---|
| Documentation depth | The docs include setup, data sources, self-managed operations, API references, troubleshooting, security, performance guidance and versioned release notes. | Official documentation spans installation, SQL, data modeling, ingestion, querying, subscriptions, stream processing, security, operations, integrations and kernel design. |
| Headquarters | Portland, Oregon, United States | San Jose, California, United States |
| Integrations | Named integrations include Grafana, Kibana, Superset, Looker, Splunk, Databricks, AWS EMR, Microsoft Fabric, and OpenTelemetry OTLP. | The documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity. |
| Rating on G2 | 0.0 out of 5 from 0 reviews. | 4.7 out of 5 from 15 reviews. |
| Security controls | Self-managed clusters support SSO, RBAC, TLS, IP allowlists and encrypted object-storage data at rest. | TDengine Cloud encrypts data in transit and at rest; Enterprise supports configurable encryption, role-based permissions, IP whitelisting, scheduled backups and cross-region replication. |
Hydrolix plans
- Bring Your Own Cloud (BYOC)$0.20 a month
- Self-Managed (Bring Your Own Cloud)Priced on request
- Hydrolix Cloud$0.31 a month
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 Hydrolix if…
You want what its maker publishes above — check its page for the details.
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.