BTrDB vs OpenTSDB
BTrDB
btrdb.readthedocs.ioOpenTSDB
opentsdb.netSide by side
| Figure | BTrDB | OpenTSDB |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Windows | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Time-Series Databases | 8.8 (#3) | 7.6 (#26) |
| Integrations | The Python documentation includes examples using Dash and Plotly to plot data queried from BTrDB. | The docs say open-source tools including Grafana and Bosun can access OpenTSDB data. |
| License | The BTrDB server repository identifies its license as MIT. | The FAQ says OpenTSDB uses the GNU LGPL v2.1 or later. |
| Security | The documentation describes TLS access on port 4411 and API-key authentication, which requires the TLS port. | The FAQ says OpenTSDB has not undergone a security review and does not include authentication, and recommends restricting untrusted access through a secured HTTP proxy. |
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.