Provides data access with high throughput; can process large-scale data sets.
As the resource management system of Hadoop 2.0, Yarn implements resource management and scheduling for applications.
An in-memory distributed computing framework.
Provides standard SQL engine and enables conventional applications to be smoothly migrated to the Big Data platform.
A distributed computing engine supporting massive offline batch processing.
A unified computing framework for batch and stream processing and stream processing. At its core is a stream processing engine that supports data distribution and parallel computing.
A distributed, reliable, and fault-tolerant real-time stream data processing system. It provides SQL-like query languages (StreamCQL).
An independent, enterprise-class application search server based on Apache Lucene.
A distributed, partitioned message release-subscription system with multiple copies.
Exchanges data and files between FusionInsight, relational databases, and file systems.
A column-oriented distributed storage system suitable for mass unstructured or semi-structured data that provides high availability, performance, and scalability. HBase supports real-time data read and write.
A distributed mass log collection, aggregation, and transmission system that provides high availability and reliability.
Huawei GaussDB integrates AI technology into the database kernel architecture and algorithms, providing users distributed databases with higher performance, higher availability, and more diverse computing power.