InfluxDB
7.4#4 in time-series databases$0.01 usage-basedFree planWebAPILinuxmacOS
VisitInfluxDB vs Warp 10
What both publish
| Fact | InfluxDB | Warp 10 |
|---|---|---|
| Company | InfluxData says it was founded in 2012. | The site identifies SenX S.A.S. as the owner of the Warp 10 trademarks. |
| Integrations | InfluxDB connects to data sources through 400+ pre-built Telegraf plugins and has official client libraries including Python, JavaScript, Go, Java, and C#. | The platform can fetch data from SQL and NoSQL databases, document stores, other time series databases, and monitoring platforms. |
| Purpose | InfluxDB 3 is a time series database and platform built for high-frequency, timestamped data. | Warp 10 is a modular open source platform for collecting, storing, and analyzing sensor data. |
| Security | InfluxData states that it is ISO 27001, ISO 27018, and SOC 2 certified, and that end-to-end encryption and granular access controls are available across managed and self-managed InfluxDB 3 products. | Warp 10 uses cryptographic tokens to control access, and its ingress API requires a valid write token in the X-Warp10-Token header. |
| Support | InfluxDB 3 Core is community supported, while Enterprise and Cloud Dedicated include a technical support SLA. | Warp 10 documentation directs users to its community Slack to report issues or missing documentation. |
InfluxDB plans
- Cloud Serverless - Data InFree
- Cloud Serverless - Query Count$0.01 a month
- Cloud Serverless - StorageFree
- Cloud Serverless - Data Out$0.09 a month
- Cloud ServerlessFree
- InfluxDB 3 CoreFree
Warp 10 plans
- Free sandboxFree
Pick InfluxDB if…
InfluxDB suits teams handling timestamped data for industrial operations, observability, or AI applications. Core is intended for local development, prototyping, and edge deployments; managed and enterprise options serve other deployment needs.
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.