StarRocks is a free and open OLAP system in the center of data analytics.
StarRocks supports dashboards, ad-hoc queries, and interactive data analytics, enabling agile analytics across your organization.
Flexible Data Modeling
Flat table, pre-aggregations, star and snowflake schemas are all supported.
StarRocks supports thousands of users analyzing concurrently. Good for both internal analytics and customer facing data serving.
Native Vectorized MPP Engine
StarRocks has an execution engine with vectorization technology to make full use of the parallel computing power of the CPU.
Cost-Based SQL Optimizer
StarRocks can optimize complex queries through CBO (Cost-Based Optimizer). With a better execution plan, data analytics efficiency could be greatly improved.
Real-Time Columnar Store
StarRocks' redesigned columnar store supports extreme query performance, real-time data updates and deletes, and is ACID-compliant.
Intelligent Materialized View
The materialized view of StarRocks can be automatically updated during the data import and automatically selected when the query is executed.
StarRocks does not rely on any external systems. The clean architecture makes it easy to deploy, maintain and scale-out.
StarRocks supports multi-replica data storage and multi-instance data deployment. The cluster has the ability of self-healing and elastic recovery.
StarRocks’ distributed architecture allows its storage capacity and computing power to be scaled horizontally. StarRocks clusters can be expanded to hundreds of nodes to support up to 10PB data storage.
StarRocks supports standard SQL syntax (TPC-H and TPC-DS) and is compatible with MySQL protocol. Various clients and BI software (Tableau, Power BI, etc) can be used to access StarRocks.
StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios.
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