StarRocks is a new generation of ultra-fast full-scene MPP databases.
StarRocks has fully absorbed the outstanding research results of relational OLAP databases and distributed storage systems in the big data era, further improved the optimization and upgraded architecture based on industry practice, and added many new functions to form a new enterprise-level product.
StarRocks is committed to building an extremely fast unified analysis experience that satisfies various data analysis scenarios for enterprise users, supports various data models (detailed models, aggregation models, update models), various import methods (batch and real-time), and can integrate and connect to various existing systems (Spark, Flink, Hive, ElasticSearch).
StarRocks is compatible with the MySQL protocol, and you can use MySQL clients and commonly used BI tools to connect to StarRocks for data analysis.
StarRocks uses a distributed architecture that divides data tables horizontally and stores them in multiple copies. The cluster size can be flexibly scaled and can support 10PB level data analysis; supports MPP frameworks for parallel accelerated computing; supports multiple copies and has elastic fault tolerance.
StarRocks uses a relational model, uses strict data types and a columnar storage engine, reduces read/write amplification through coding and compression technology; uses a vectorized execution method to fully explore the parallel computing capabilities of multi-core CPUs, thereby significantly improving query performance.