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| [](https://github.com/apache/horaedb/actions/workflows/ci.yml) |
| [](https://github.com/apache/horaedb/issues) |
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| Apache HoraeDB™ (incubating) is a high-performance, distributed, cloud native time-series database. |
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| # Motivation |
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| In the classic timeseries database, the `Tag` columns (InfluxDB calls them `Tag` and Prometheus calls them `Label`) are normally indexed by generating an inverted index. However, it is found that the cardinality of `Tag` varies in different scenarios. And in some scenarios the cardinality of `Tag` is very high, and it takes a very high cost to store and retrieve the inverted index. On the other hand, it is observed that scanning+pruning often used by the analytical databases can do a good job to handle such these scenarios. |
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| The basic design idea of HoraeDB is to adopt a hybrid storage format and the corresponding query method for a better performance in processing both timeseries and analytic workloads. |
