apache
Who is using Apache Paimon?
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Motivation
Who's using Apache Paimon?
The Apache Paimon community grows with the combined efforts of every user and developer and appreciates every user and developer who uses and cares about Paimon. We are committed to listening to each one of you to make the community more prosperous.
Therefore, the purpose of this topic is to encourage you, as a user or developer, to leave your real-world scenarios so that we can subsequently explore new and better solutions, schedule the releases, and solve real-world problems based on these scenarios.
We look forward to your comments in the comments space, including but not limited to the following areas.
- Organization: e.g. Alibaba Corp.
- Region: e.g. Hangzhou, China
- Contact: e.g. [email protected]
- Usage Scenario: e.g., we use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
Regards,
Apache Paimon Community
Solution
No response
Anything else?
No response
Are you willing to submit a PR?
- [ ] I'm willing to submit a PR!
Organization: Dustess（尘锋信息）. Region: Beijing, China Contact: www.dustess.com Usage Scenario: we use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
Organization: BabelTime（巴别时代）. Region: Beijing, China Contact: www.babeltime.com Usage Scenario: we use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
Organization: Tongcheng Travel（同程旅行）.
Region: Jiangsu, China
Contact: www.ly.com
Usage Scenario: we use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
Organization: StarRocks. Region: Silicon Valley, California, USA Contact: www.starrocks.io Usage Scenario: StarRocks, an OLAP database, supports Apache Paimon as a queryable source of data without ingestion through external database catalog integration.
Organization: SelectDB. Region: China Contact:https://www.selectdb.com/ Usage Scenario: SelectDB is built from Apache Doris and by core developers of the open-source database. Available as a fully-managed database as a service and self-managed on-premises software.
Organization: Dinky. Region: China Contact: https://www.dinky.org.cn/ Usage Scenario: We use Apache Paimon Storing a metric set with large amounts of data .Activated on monitoring service data lake support
Organization: Amoro.
Region: China
Contact: https://amoro.netease.com/
Usage Scenario: Amoro, a management system for Lakehouse. We support managing paimon.
Organization: CelerData.
Region: Silicon Valley, California, USA
Contact: www.celerdata.com
Usage Scenario: CelerData provides an enterprise and managed version of StarRocks. StarRocks, an OLAP database, supports Apache Paimon as a queryable source of data without ingestion through external database catalog integration.
Organization: NetEase Media Bigdata
Region: China
Contact: http://netease.com/
Usage Scenario: We are evolving with Apache Paimon and StarRocks to achieve a streaming lakehouse architecture.
Organization: China Unicom Digital Technology Co., Ltd(联通数字科技有限公司) Region: Beijing, China Contact: https://www.cudt.com.cn/ Usage Scenario: We use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
Organization: 智者四海（北京）技术有限公司 Region: Beijing, China Contact: https://www.zhihu.com/ Usage Scenario: We use Paimon to support lightweight realtime analytics for data from MySQL/TiD, Paimon had better integration with Apache Flink and simplifies our work.
Organization: Ximalaya (喜马拉雅) . Region: ShangHai, China Contact: https://www.ximalaya.com Usage Scenario: We utilize Apache Paimon as a streaming lakehouse to enable both real-time and ad-hoc analytics. It supports real-time data warehousing, efficient real-time analysis, on-demand exploratory analytics, as well as data preparation for sampling and feature engineering.
Organization: AntGroup (蚂蚁) .
Region: Hangzhou, China
Contact: https://www.antgroup.com/
Usage Scenario: We utilize Apache Paimon as a streaming lakehouse to enable both real-time and ad-hoc analytics. It improves the data freshness of the traditional data warehouse
Organization: EEO(翼鸥教育).
Region: Beijing, China
Contact: https://www.eeo.cn/cn/
Usage Scenario: We use paimon to integrate business data in real time and implement a quasi-real-time data warehouse infrastructure solution.
Organization: 奥动新能源. Region: GuangZhou, China Contact: www.aulton.com Usage Scenario: we use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
Organization: 中通快递股份有限公司.
Region: ShangHai, China
Contact: www.zto.com
Usage Scenario: We use paimon to integrate business data in real time and implement a quasi-real-time data warehouse infrastructure solution.
Organization: 网龙网络有限公司. Region: FuZhou, China Contact: www.nd.com.cn Usage Scenario: we use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
Usage Scenario: our company vivo also use Apache Paimon as data lake support efficient stream and batch compute，improve data produce and update speed.
Organization: 小鹏汽车
Region: Guangzhou, China
Contact: www.xiaopeng.com
Usage Scenario: We utilize Apache Paimon as a streaming lakehouse to enable both real-time and ad-hoc analytics. It supports real-time data warehousing, durable storage for status and staging results, on-demand analytics and debugs.
Organization: 杭州银行
Region: Hangzhou, China
Contact: [https://www.hzbank.com.cn/)
Usage Scenario: We utilize Apache Paimon as a streaming lakehouse to enable both real-time and ad-hoc analytics. It supports real-time data warehousing, durable storage for status and staging results, on-demand analytics and debugs.
Organization: iflytek（科大讯飞）. Region: Hefei, China Contact: www.iflytek.com Usage Scenario: we use Apache Paimon as a streaming data lake platform that supports high-speed data ingestion, change data tracking and efficient real-time analytics.
