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TDengine vs Warp 10

TDengine logo

TDengine

8.3#1 in time-series databasesFree plan
Free planWebAPILinuxmacOS
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Warp 10 logo

Warp 10

6.8#8 in time-series databasesFree plan
Free planWebAPILinuxmacOS
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What both publish

FactTDengineWarp 10
DeploymentSelf-hosted deployments can run at the edge, in containers or virtual machines, on local servers, or in public, private, or hybrid clouds.Warp 10 is available in Standalone, Standalone+, and Distributed versions; the versions differ mainly in how the storage engine is implemented.
HeadquartersSan Jose, California, United States29490 Guipavas, France
InstallationOfficial packages support Linux and Windows, and documentation also provides Docker and Kubernetes deployment paths.The download page describes binary installation on your own infrastructure and a Docker image that includes Warp 10, WarpStudio, and Sensision.
IntegrationsThe documented ecosystem includes Grafana integration, Kafka integration, MQTT, OPC, PI System and Excel connectivity.The platform can fetch data from SQL and NoSQL databases, document stores, other time series databases, and monitoring platforms.
SupportAnnual 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.Warp 10 documentation directs users to its community Slack to report issues or missing documentation.

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

Warp 10 plans

  • Free sandboxFree

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.

Pick Warp 10 if…

Warp 10 may suit teams collecting and analyzing time series or sensor data that want self-hosted or distributed deployment options. Its documented integrations can be useful to teams working with notebooks, processing frameworks, databases, or dashboard tools.

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