StarRocks

StarRocks is a Linux Foundation project, a next-generation data platform designed to make data-intensive real-time analytics fast and effortless. It delivers query speeds 5 to 10 times faster than other popular solutions. StarRocks excels at real-time analytics while simultaneously updating historical records. It also seamlessly enhances real-time analysis with historical data from data lakes. With StarRocks, you can move away from denormalized tables and achieve optimal performance and flexibility. 🚀 Native Vectorized SQL Engine: StarRocks employs vectorization technology to fully leverage CPU parallel processing, enabling sub-second query responses in multi-dimensional analysis—5 to 10 times faster than previous systems. 📊 Standard SQL: StarRocks supports ANSI SQL syntax (fully compatible with TPC-H and TPC-DS) and MySQL protocol, allowing access via various clients and BI tools. 💡 Intelligent Query Optimization: StarRocks optimizes complex queries with its Cost-Based Optimizer (CBO), significantly improving data analysis efficiency through superior execution plans. 🔄 Real-Time Updates: Its update model supports upsert/delete operations by primary key, ensuring efficient queries even during concurrent updates. 🪟 Smart Materialized Views: Materialized views auto-update on data import and are intelligently selected during query execution. 🌊 Direct Data Lake Querying: StarRocks enables direct access to data in Apache Hive™, Apache Iceberg™, and Apache Hudi™ without requiring imports. 🎛️ Resource Management: This feature allows limiting query resource usage, isolating and efficiently allocating resources among tenants within a single cluster. 💠 Easy Maintenance: Its simple architecture makes StarRocks easy to deploy, maintain, and scale. It dynamically adjusts query plans for resource balance during cluster scaling and automatically recovers data replicas upon node failures.

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