BTrDB vs Synnax
BTrDB
btrdb.readthedocs.io
Synnax
synnaxlabs.comSide by side
| Figure | BTrDB | Synnax |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Time-Series Databases | 8.8 (#3) | 7.1 (#33) |
| Integrations | The Python documentation includes examples using Dash and Plotly to plot data queried from BTrDB. | Documented native device support includes OPC UA, Modbus, EtherCAT, National Instruments, and LabJack. |
| Security | The documentation describes TLS access on port 4411 and API-key authentication, which requires the TLS port. | The production deployment guide recommends TLS for securing communications with Core and documents certificate configuration. |
| Support | The documentation invites users to submit pull requests or open a GitHub issue for additions or corrections. | The company invites prospects to request a demo or detailed pricing and says it will respond within 24 hours. |
Plans
In their own words
BTrDB
BTrDB is a free, MIT-licensed, self-hosted time-series database for dense, high-precision univariate data. It partitions data by time, supports clustered deployments, and records stream changes as new versions that queries can target. Streams have unique UUIDs and can be grouped into collections with tags and annotations. The Python btrdb package supports nanosecond-timestamp queries and insertion through Stream.insert, PyArrow tables, or pandas DataFrames. Statistical queries can return minimum, maximum, mean, count, and standard deviation without reading every underlying point. StreamSets can be filtered and converted to pandas DataFrames or CSV files. Documentation shows Dash and Plotly visualization, Ray-worker serialization, TLS on port 4411, and API-key authentication requiring that TLS port. Arrow-based tabular methods are documented for commercial customers with Arrow-enabled servers. BTrDB reports measured cluster throughput and compression figures, and describes smart-grid aggregation at city or country scale as one target use case.