Features

HStreamDB Functional architecture

Materialized View

HStreamDB will offer materialized view to support complex query and analysis operations on continuously updated data streams. The incremental computing engine updates the materialized view instantly according to the changes of data streams, and users can query the materialized view through SQL statements to get real-time data insights.

HStreamDB supports the creation and management of large data streams. The creation of a data stream is a very light-weight operation based on an optimized storage design. It is possible to maintain a stable read/write latency in the case of many concurrent reads and writes.

Persistent storage

Connector deals with access and distribution of HStreamDB data. They connect to various data systems, including MQTT Broker, MySQL, ElasticSearch, Redis, etc., facilitating integration with external data systems for users.

Monitoring and O&M tools

We will set up a web-based console with system dashboards and visual charts, enabling detailed monitoring of cluster machine status, system key indicators, etc., which make it more convenient for O&M staff to manage the cluster.