Apache IoTDB vs SiriDB
Apache IoTDB
iotdb.apache.orgSiriDB
siridb.comSide by side
| Figure | Apache IoTDB | SiriDB |
|---|---|---|
| Price from | Free | €150/mo |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | — |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 3 |
| Spec score · Time-Series Databases | 9.1 (#2) | 7.5 (#27) |
| Deployment | The project describes cloud installation, a desktop terminal tool, and a data synchronization tool connecting cloud and on-premise machines. | The server can be installed from a Debian package, compiled on Linux or OSX, or run with Docker. |
| Integrations | Documented integrations include Telegraf, NiFi, Kafka, Flink, Spark, Zeppelin, Grafana, DataEase, DBeaver and ThingsBoard. | The maker lists a Grafana data source plugin and native connectors for C/C++, Python, Go, and Node.js. |
| Product | Apache IoTDB is an industrial IoT time-series database for collecting, storing, managing, and analyzing IoT time-series data with edge-cloud collaboration. | SiriDB is an open-source time-series database for analyzing and aggregating time-series data from sources including IoT and financial transactions. |
| Support | The project points users to QQ, WeChat, and Slack community channels and a developer mailing list for questions and help. | 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
Apache IoTDB
Apache IoTDB is an open-source industrial IoT time-series database for collecting, storing, managing, and analyzing device data across edge and cloud deployments. The project describes high-speed writes for millions of networked devices alongside fast reads. Query features include aligning time across devices and sensors, time-series computation, and aggregation by time dimensions. Ingestion options include IoTDB-SQL, JDBC, Java, C++, Python, and Go native APIs, REST, MQTT, CSV, and TsFile. Named analysis ecosystem examples include Hadoop, Spark, Flink, and Grafana. Deployment options include cloud installation, a desktop terminal tool, and synchronization between cloud and on-premise machines. The REST service is disabled by default and uses Basic Authentication except for the health check endpoint. Data and cluster permissions can be managed through users, roles, and privileges. The homepage states disk storage can cost less than $0.23 per GB. The project lists energy, aerospace, transportation, steel, and other IoT scenarios. Its JDBC documentation cautions that insert operations may not provide high-performance writing and recommends the Java Native API for Java applications.