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By themelower On Apr 23, 2026

Starrocks offers the next generation of real time sql engines for enterprise scale analytics. learn how we make it easy to deliver real time analytics. The world's fastest open query engine for sub second analytics both on and off the data lakehouse. with the flexibility to support nearly any scenario, starrocks provides best in class performance for multi dimensional analytics, real time analytics, and ad hoc queries. a linux foundation project. releases · starrocks starrocks.

Scale storage and computing power horizontally and support tens of thousands of concurrent users. all of your bi tools work with starrocks through standard sql. starrocks provides superior performance. it is also a unified olap covering most data analytics scenarios. Download the latest official version of starrocks along with resources for apache flink, apache hive, and more. Starrocks performs the specific execution of sql through the mpp computing framework. the framework itself can make full use of the computing power of multiple nodes and execute the entire query in parallel, so as to deliver an excellent interactive analysis experience. From starrocks v2.0 onwards, you can upgrade a starrocks cluster across minor versions, for example, from v2.2.x directly to v2.5.x. however, for compatibility and safety reasons, we strongly recommend you upgrade your starrocks cluster consecutively from one minor version to another.

Starrocks performs the specific execution of sql through the mpp computing framework. the framework itself can make full use of the computing power of multiple nodes and execute the entire query in parallel, so as to deliver an excellent interactive analysis experience. From starrocks v2.0 onwards, you can upgrade a starrocks cluster across minor versions, for example, from v2.2.x directly to v2.5.x. however, for compatibility and safety reasons, we strongly recommend you upgrade your starrocks cluster consecutively from one minor version to another. The entire system eliminates single points of failure through seamless and horizontal scaling of fe and be, as well as replication of metadata and data. starting from version 3.0, starrocks supports a new shared data architecture, which can provide better scalability and lower costs. With the flexibility to support nearly any scenario, starrocks provides best in class performance for multi dimensional analytics, real time analytics, and ad hoc queries. Starrocks supports real time and batch data ingestion from a variety of data sources. it also allows you to directly analyze data stored in data lakes with zero data migration. starrocks is also compatible with mysql protocols and can be easily connected using mysql clients and popular bi tools. After upgrading starrocks to v3.5, do not downgrade it directly to v3.4.0 ～ v3.4.5, otherwise it will cause metadata incompatibility. you must downgrade the cluster to v3.4.6 or later to prevent the issue.

The entire system eliminates single points of failure through seamless and horizontal scaling of fe and be, as well as replication of metadata and data. starting from version 3.0, starrocks supports a new shared data architecture, which can provide better scalability and lower costs. With the flexibility to support nearly any scenario, starrocks provides best in class performance for multi dimensional analytics, real time analytics, and ad hoc queries. Starrocks supports real time and batch data ingestion from a variety of data sources. it also allows you to directly analyze data stored in data lakes with zero data migration. starrocks is also compatible with mysql protocols and can be easily connected using mysql clients and popular bi tools. After upgrading starrocks to v3.5, do not downgrade it directly to v3.4.0 ～ v3.4.5, otherwise it will cause metadata incompatibility. you must downgrade the cluster to v3.4.6 or later to prevent the issue.

Starrocks supports real time and batch data ingestion from a variety of data sources. it also allows you to directly analyze data stored in data lakes with zero data migration. starrocks is also compatible with mysql protocols and can be easily connected using mysql clients and popular bi tools. After upgrading starrocks to v3.5, do not downgrade it directly to v3.4.0 ～ v3.4.5, otherwise it will cause metadata incompatibility. you must downgrade the cluster to v3.4.6 or later to prevent the issue.

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