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README.md

StarRocks

StarRocks is an next-gen MPP-based interactive database for all your analysius, including multi-dimensional analytics, real-time analytics and Ad-hoc query.

Technology

  • Native vectorized SQL engine：StarRocks adopts vectorization technology to leverage the parallel computing power of CPU, including SIMD instructions and Cache Affinity. Their is a 5-10 times performance advantage over previous technologies.
  • Simple architecture：StarRocks does not rely on any external systems. The simple architecture makes it easy to deploy, maintain and scale out. Also provides high availability, reliability, fault tolerance, and scalability.
  • Standard SQL：StarRocks supports Ansi SQL syntax (fully supportted TPC-H and TPC-DS). It is also compatible with the MySQL protocol. Various clients and BI software can be used to access StarRocks.
  • Smart Query Optimization: StarRocks can optimize complex queries through CBO (Cost Based Optimizer). With a better execution plan, the data analysis efficiency will be greatly improved.
  • Realtime update: The updated model of StarRocks can perform upsert/delete operations according to the primary key, and achieve efficient query while concurrent updates.
  • Intelligent materialized view: The materialized view of StarRocks can be automatically updated during the data import and automatically selected when the query is executed.
  • Convenient federated queries: StarRocks make it easy to run interactive ad-hoc analytic queries against data sources of Hive, MySQL and Elasticsearch.

User cases

  • StarRocks not only provides high concurrency & low latency point lookups, but also provides high throughput queries of ad-hoc analysis.
  • StarRocks unified batch data ingestion and near real-time streaming.
  • Pre-aggregations, Flat tables, star and snowflake schemas are supported and all run at enhanced speed.
  • StarRocks hybridize serving and analysis requirements with an easy way to deploy, develop and use them.

Install

Please refer deploy

Links

LICENSE

Code in this repository is provided under the Elastic License 2.0. Some portions are available under open source licenses. Please see our FAQ.