Why openLooKeng?

Data Analysis Across Data Centers

Unified SQL interfaces ensure data access across data centers and hybrid clouds.

Simple Data Analysis

Unified SQL interfaces enable you to access multiple data sources.

Flexible Extensibility

openLooKeng allows you to effortlessly add connectors for new data sources,

removing the need for data migration.

Thriving openLooKeng Community



Community Members


  • Memory Connector: Sorting, Indexing and Spill-to-disk

    Arjun Krishna | July 20, 2021

    Improvements to openLookeng’s Memory Connector in v1.3.0, including benchmarking results

  • openLooKeng Invites You to Register Your Profile

    Fred Li | December 8, 2020

    Introduction Firstly, all the contributors’ contribution to openLooKeng community is appreciated. In order to do the statistics on contribution of each contributor’s company/school/organization, the Infrastructure team has developed a function that requires each contributor to fill in their company information. This blog is to guide contributors on how to fill in personal organizational information. Steps Fork https://gitee.com/openlookeng/community to your Gitee. on your local PC git clone https://gitee.

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  • openLooKeng v1.3.0 Official Released

    openLooKeng | June 30, 2021

    To continuously provide partners with an optimal data analysis experience, openLooKeng iterates once every three months, with the most recent version (openLooKeng v1.3.0) released in June 2021. Based on partners' experience and suggestions, we enhanced existing features, and introduced new features to improve the engine performance.

  • openLooKeng v1.2.0 Is Officially Released

    openLooKeng | March 31, 2021

    In this March, openLooKeng V1.2.0 was released. Based on partners' experience and suggestions, some new technologies are applied to improve the engine performance and provide better experience.

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