DolphinDB vs SiriDB
DolphinDB
dolphindb.com
SiriDB
siridb.comSide by side
| Figure | DolphinDB | SiriDB |
|---|---|---|
| Price from | Free | €150/mo |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Time-Series Databases | 8.2 (#11) | 7.5 (#27) |
| Deployment | The maker describes cloud, on-premise, and hybrid deployment options with horizontal cluster scaling. | The server can be installed from a Debian package, compiled on Linux or OSX, or run with Docker. |
| Product | DolphinDB is a real-time analytics and stream-processing platform powered by a high-performance time-series database. | SiriDB is an open-source time-series database for analyzing and aggregating time-series data from sources including IoT and financial transactions. |
| Security | The maker documents user and group access controls, multiple privilege types, function views, RSA encryption, and HTTPS support. | The HTTP API documentation describes basic authentication, while the SiriDB HTTP connector page says it supports SSL. |
| Support | The Enterprise Trial listing includes expert technical support. | Community support is available through Slack and GitHub, and commercial support packages include remote monitoring and health checks. |
Plans
SiriDB
- Basic support€150 a month
- Standard support€400 a month
- Premium support€800 a month
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.