DolphinDB vs TimechoDB
DolphinDB
dolphindb.com
TimechoDB
timecho-global.comSide by side
| Figure | DolphinDB | TimechoDB |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | 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) | 7.5 (#29) |
| Deployment | The maker describes cloud, on-premise, and hybrid deployment options with horizontal cluster scaling. | The product supports embedded, edge, and cloud deployments, as well as standalone and distributed modes. |
| Product | DolphinDB is a real-time analytics and stream-processing platform powered by a high-performance time-series database. | TimechoDB is an enterprise-grade product based on Apache IoTDB with enhanced performance, expanded features, and customization. |
| Security | The maker documents user and group access controls, multiple privilege types, function views, RSA encryption, and HTTPS support. | The product page lists audit logs and system whitelisting, while the current user guide documents account, permission, connection, communication, storage, and audit security features. |
| Support | The Enterprise Trial listing includes expert technical support. | The product page describes professional support with service-level agreements and lists expert support and usage training in its feature comparison. |
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.
TimechoDB
TimechoDB has no write-up on Specifiction yet; its figures are above.