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StarRocks icon

StarRocks

StarRocks, a Linux Foundation project, is a next-generation sub-second MPP OLAP database for full analytics scenarios, including multi-dimensional analytics, real-time analytics, and ad-hoc queries. InfoWorld’s 2023 BOSSIE Award for best open source software.

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  • Linux
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  •  12,109 Stars
  •  2,591 Forks
  •  1441 Open Issues
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Our users have written 1 comments and reviews about StarRocks, and it has gotten 2 likes

StarRocks was added to AlternativeTo by Albert Wong on and this page was last updated .

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Albert Wong
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I like StarRocks because it's an open source replacement for Snowflake, BigQuery, RedShift

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What is StarRocks?

StarRocks, a Linux Foundation project, is the next-generation data platform designed to make data-intensive real-time analytics fast and easy. It delivers query speeds 5 to 10 times faster than other popular solutions. StarRocks can perform real-time analytics well while updating historical records. It can also enhance real-time analytics with historical data from data lakes easily. With StarRocks, you can get rid of the de-normalized tables and get the best performance and flexibility.

  • 🚀 Native vectorized SQL engine: StarRocks adopts vectorization technology to make full use of the parallel computing power of CPU, achieving sub-second query returns in multi-dimensional analyses, which is 5 to 10 times faster than previous systems.
  • 📊 Standard SQL: StarRocks supports ANSI SQL syntax (fully supported 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.
  • ? Real-time 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.
  • ? Querying data in data lakes directly: StarRocks allows direct access to data from Apache Hive™, Apache Iceberg™, and Apache Hudi™ without importing.
  • 🎛? Resource management: This feature allows StarRocks to limit resource consumption for queries and implement isolation and efficient use of resources among tenants in the same cluster.
  • 💠 Easy to maintain: Simple architecture makes StarRocks easy to deploy, maintain and scale out. StarRocks tunes its query plan agilely, balances the resources when the cluster is scaled in or out, and recovers the data replica under node failure automatically.

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