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.
A massively parallel processing database that features elastic scalability, excellent performance, rock-solid reliability, and superior cost-effectiveness. It can replace conventional data warehouse systems and adds new levels of efficiency to decision-making.