Massive Internet of Things devices continue to generate large-scale streaming data. HStreamDB can help manage large-scale data streams and analyze these data in real-time.
Full process coverage from streaming data access and storage to processing and analysis, reliable and straightforward, without dependencies on other systems, reduces O&M costs.
Large-scale data stream management: a single cluster can support millions of data streams. Smart error detection and built-in recovery mechanisms automate most system errors handling. At the same time, Paxos-based consensus algorithms can ensure data consistency within the system in the event of an error.
The compute and storage nodes are independently scalable and support online scaling. Therefore, system expansion and contraction will have little impact on the business.
HStreamDB's real-time analytics enable real-time data analysis as the data enters the system, allowing you to Get real-time data insights, respond quickly to market changes, improve business agility and secure a competitive advantage.
Failure prevention and risk control often require real-time data analysis and timely early warning before risks occur. Whether it's the prediction of part failures on production lines, real-time fraud detection in financial transactions or even epidemic prevention and control, HStreamDB is there to protect your business.
Because of the high performance, you can achieve your business with fewer resources, while the high availability and built-in fault tolerance support allow you to reduce service maintenance costs significantly.