StarRocks

Starrocks is a next-generation high-speed full-scene MPP database. StarRocks fully absorbed the excellent research results of relational OLAP databases and distributed storage systems in the big data era, further improved optimization and upgraded the architecture on the basis of industry practice, and added many new functions, forming a new enterprise-level product. StarRocks is committed to building a high-speed unified analysis experience that satisfies various data analysis scenarios for enterprise users, supports multiple data models (detailed model, aggregation model, update model), multiple import methods (batch and real-time), and can be integrated and connected to various existing systems (Spark, Flink, Hive, ElasticSearch). StarRocks is compatible with the MySQL protocol, and you can use the MySQL client and commonly used BI tools to connect Starrocks to perform data analysis. StarRocks uses a distributed architecture where data tables are divided horizontally and stored in multiple copies. The cluster scale can be flexibly scaled, and can support 10PB level data analysis; supports MPP frameworks to accelerate computation in parallel; supports multiple copies and has elastic fault tolerance. StarRocks uses a relational model, uses strict data types and columnar storage engines, reduces read/write amplification through coding and compression technology; uses vectorized execution to fully exploit the parallel computing capabilities of multi-core CPUs, thereby significantly improving query performance.