Apache HoraeDB™ (incubating) is a high-performance, distributed, cloud native time-series database.

Motivation

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.

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.

How does HoraeDB work?

• See Quick Start to learn about how to get started
• For data model of HoraeDB, see Data Model
• For the supported SQL data types, operators, and commands, please navigate to SQL reference
• For the supported SDKs, please navigate to SDK