CnosDB vs Warp 10
CnosDB
cnosdb.com
Warp 10
warp10.ioSide by side
| Figure | CnosDB | Warp 10 |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Time-Series Databases | 8.5 (#6) | 8.1 (#16) |
| Deployment | The installation guide provides a Docker command for running the community image. | Warp 10 is available in Standalone, Standalone+, and Distributed versions; the versions differ mainly in how the storage engine is implemented. |
| Installation | The installation guide shows Docker installation and directs Ubuntu and Debian users to install through apt; it says to contact CnosDB for the Enterprise package. | The download page describes binary installation on your own infrastructure and a Docker image that includes Warp 10, WarpStudio, and Sensision. |
| Integrations | The ecosystem integration page lists LangChain, Grafana, Jaeger, Kafka, Prometheus, Telegraf, TensorFlow, and Vector. | The platform can fetch data from SQL and NoSQL databases, document stores, other time series databases, and monitoring platforms. |
| Product | CnosDB is an open-source distributed time-series database designed for high performance, compression, and ease of use. | Warp 10 describes itself as a time series platform for storing and analyzing time series and Geo Time Series data. |
| Security | The configuration documentation provides optional TLS certificate and private key settings. | Warp 10 uses cryptographic tokens to control access, and its ingress API requires a valid write token in the X-Warp10-Token header. |
Plans
In their own words
CnosDB
CnosDB is an open-source distributed time-series database for workloads such as IoT, industrial internet, connected vehicles, and IT operations. It supports standard SQL, time-based aggregation, and a DataFrame API. Data can be written without a predefined schema, including out of order, and historical data can be replenished. Ingestion methods include SQL, Line Protocol, OpenTSDB, Elasticsearch bulk, Loki, NDJSON, and OpenTelemetry. Deployment options include standalone, distributed, and storage-compute separated modes, on public, private, or hybrid clouds. The documentation describes horizontal scaling for storage and stateless compute nodes. Integrations include Grafana, Prometheus, Telegraf, JDBC, and a Python SDK; the open-source Python connector provides a PEP 249 interface for SQLAlchemy and pandas. Import and export formats include PARQUET, CSV, and JSON with AWS S3, Google Cloud Storage, and Azure Blob Storage. CnosDB documents retention policies, multi-tenancy, and role-based permissions, as well as optional TLS certificate and private-key settings. Community Edition is free under AGPL-3.0.
Warp 10
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.