Cortex vs DolphinDB
Cortex
cortexmetrics.ioDolphinDB
dolphindb.comSide by side
| Figure | Cortex | DolphinDB |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 2 |
| Spec score · Time-Series Databases | 7.9 (#18) | 8.2 (#11) |
| Scaling and availability | Cortex can run across multiple machines in a cluster and replicate data between machines. | Its distributed system supports horizontal scaling, load balancing, fault tolerance, distributed transactions, and high availability across data nodes, controllers, streaming, and API clients. |
| Support | The project directs users to its CNCF Slack channel, GitHub issues, and the cortex-users mailing list for questions. | The Enterprise Trial listing includes expert technical support. |
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.