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Warp 10
warp10.io
What it is
Warp 10 is a free, open-source platform for collecting, storing, and analyzing time series and Geo Time Series data, including sensor data. It runs as a server that accepts HTTP requests for ingestion and WarpScript execution, and supports API, Linux, macOS, web, Windows, and self-hosted deployments. The platform is available in Standalone, Standalone+, and Distributed versions whose main difference is storage-engine implementation. Standalone uses LevelDB and is described as suitable for a few tens of millions of time series and a few hundreds of billions of datapoints; larger needs are directed to Distributed, which uses FoundationDB. Warp 10 includes more than 1,300 time-series functions. Installation can use binaries on your infrastructure or a Docker image containing Warp 10, WarpStudio, and Sensision. Integrations include Jupyter, Zeppelin, Spark, Flink, MQTT, BACNet, NodeRed, NiFi, SQL and NoSQL sources, Grafana, and PowerBI. Ingestion supports HTTP POST, WebSocket, UDP, MQTT, and Kafka. Cryptographic READ and WRITE tokens control access, and metadata encryption is enabled by default.
Spec sheet
- Purpose
- Warp 10 is a modular open source platform for collecting, storing, and analyzing sensor data.Read 10 Oct 2026 · warp10.io
- Product
- Warp 10 describes itself as a time series platform for storing and analyzing time series and Geo Time Series data.Read 9 Oct 2026 · warp10.io
- Deployment
- Warp 10 is available in Standalone, Standalone+, and Distributed versions; the versions differ mainly in how the storage engine is implemented.Read 9 Oct 2026 · warp10.io
- Integrations
- The platform can fetch data from SQL and NoSQL databases, document stores, other time series databases, and monitoring platforms.Read 10 Oct 2026 · warp10.io
- Security
- Warp 10 uses cryptographic tokens to control access, and its ingress API requires a valid write token in the X-Warp10-Token header.Read 10 Oct 2026 · warp10.io
- Support
- Warp 10 documentation directs users to its community Slack to report issues or missing documentation.Read 9 Oct 2026 · warp10.io
- Headquarters
- 29490 Guipavas, FranceRead 28 Sep 2026 · warp10.io
- Company
- The site identifies SenX S.A.S. as the owner of the Warp 10 trademarks.Read 10 Oct 2026 · warp10.io
- Access control
- Warp 10's security mechanisms use cryptographic tokens, and its documentation describes separate READ and WRITE tokens for controlling access to data.Read 9 Oct 2026 · warp10.io
- Analytics
- The download page says Warp 10 includes more than 1,300 functions for managing and analyzing time series and Geo Time Series data.Read 9 Oct 2026 · warp10.io
- Business application connections
- The applications page lists MQTT and BACNet for industrial data, JDBC for SQL databases, APIs, and dashboard tools including Grafana and PowerBI.Read 10 Oct 2026 · warp10.io
- Data science integrations
- Warp 10 integrates with Jupyter Notebooks and Zeppelin, and WarpLib can be used with Spark, Flink, NiFi and Kafka Streams.Read 10 Oct 2026 · warp10.io
- Deployment modes
- Warp 10 is available in Standalone, Standalone+ and Distributed versions, which differ mainly in their storage engine implementation.Read 10 Oct 2026 · warp10.io
- Encryption
- The encryption documentation says metadata encryption is on by default, while datapoint encryption is off by default because it affects storage footprint and performance.Read 9 Oct 2026 · warp10.io
- Extensibility
- Warp 10 supports authentication plugins that can convert an authentication string into a Warp 10 read or write token.Read 9 Oct 2026 · warp10.io
- Ingestion API
- The Ingress documentation says data is ingested through HTTP POST requests to the update endpoint and requires a valid WRITE token in the X-Warp10-Token header.Read 9 Oct 2026 · warp10.io
- Installation
- The download page describes binary installation on your own infrastructure and a Docker image that includes Warp 10, WarpStudio, and Sensision.Read 9 Oct 2026 · warp10.io
- Local use
- Warp 10 is a server that accepts HTTP requests at endpoints for tasks such as ingesting data and executing WarpScript.Read 10 Oct 2026 · warp10.io
- Other integrations
- The applications page names MQTT, BACNet, NodeRed, NiFi, JDBC-accessible SQL databases, Grafana, and PowerBI among connection options or examples.Read 9 Oct 2026 · warp10.io
- Standalone capacity
- The getting-started guide says the Standalone version is suitable for a few tens of millions of time series and a few hundreds of billions of datapoints; it points to the distributed version for larger needs.Read 9 Oct 2026 · warp10.io
- Storage scale
- The standalone version uses LevelDB and is described as suitable for a few tens of millions of time series and a few hundreds of billions of datapoints; a distributed version uses FoundationDB.Read 10 Oct 2026 · warp10.io
- Time series functions
- The download page says Warp 10 includes more than 1,300 functions for managing and analyzing time series and Geo Time Series data.Read 10 Oct 2026 · warp10.io
- Windows support
- The maker recommends Docker for Windows users and explicitly says SenX does not support Windows in production environments.Read 10 Oct 2026 · warp10.io
Plans and prices
Free sandbox Free Free sandbox for trying Warp 10; no limits stated Read 10 Oct 2026 · warp10.io
Strong points and limits
Strong points
- More than 1,300 time-series analysis functions
- Standalone and Distributed deployment options
- Integrations with Jupyter, Spark, Flink, Grafana, and PowerBI
- HTTP, WebSocket, UDP, MQTT, and Kafka ingestion
- Open source with a free plan
Limits
- Datapoint encryption is off by default
- Standalone is intended for a stated scale range
- Windows production use is not supported by SenX
- Ingress requires a valid WRITE token
Who it suits
Warp 10 suits teams collecting and analyzing sensor or other time-series data, especially those needing self-hosting, multiple deployment modes, or data-science and dashboard integrations. Windows users are directed toward Docker, and SenX does not support Windows in production environments.
Verdict
Warp 10 provides a broad, open-source stack for time-series and Geo Time Series workloads, with extensive ingestion, integration, and deployment choices. Its documented scale guidance and Windows production caveat are important when selecting an installation.
Where Specifiction places it
- Time-Series Databases#16 of 368.1
