DolphinDB vs Warp 10
DolphinDB
dolphindb.com
Warp 10
warp10.ioSide by side
| Figure | DolphinDB | Warp 10 |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Time-Series Databases | 8.2 (#11) | 8.1 (#16) |
| Analytics | The product page says DolphinDB offers more than 1,500 built-in functions for analytical tasks. | The download page says Warp 10 includes more than 1,300 functions for managing and analyzing time series and Geo Time Series data. |
| Deployment | The maker describes cloud, on-premise, and hybrid deployment options with horizontal cluster scaling. | Warp 10 is available in Standalone, Standalone+, and Distributed versions; the versions differ mainly in how the storage engine is implemented. |
| Product | DolphinDB is a real-time analytics and stream-processing platform powered by a high-performance time-series database. | Warp 10 describes itself as a time series platform for storing and analyzing time series and Geo Time Series data. |
| Security | The maker documents user and group access controls, multiple privilege types, function views, RSA encryption, and HTTPS support. | Warp 10 uses cryptographic tokens to control access, and its ingress API requires a valid write token in the X-Warp10-Token header. |
| Support | The Enterprise Trial listing includes expert technical support. | Warp 10 documentation directs users to its community Slack to report issues or missing documentation. |
Plans
In their own words
DolphinDB
DolphinDB is a real-time analytics and stream-processing platform built around a high-performance time-series database. Its storage engines cover time-series databases, OLAP and in-memory OLTP workloads, with more than 1,500 built-in analytical functions and more than 10 streaming engines. Batch and stream processing can use the same metric expression. Programming options include imperative, vectorized, functional and SQL paradigms. The distributed system supports horizontal scaling, load balancing, fault tolerance, distributed transactions and high availability across data nodes, controllers, streaming and API clients. Deployment options include cloud, on-premise and hybrid environments. Listed use cases span finance, energy, power, transportation, industrial manufacturing and scientific research. The Community Edition has a free perpetual license, limited to two nodes, each with two CPU cores and 8 GB RAM. A free Enterprise Trial supports high-availability clusters and includes expert technical support. Related components include Swordfish for embedded use, Shark for GPU workloads, Starfish for quantitative research workflows and Octopus for complex event processing. The product is available through API, extension, Linux, self-hosted, web and Windows options.
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.