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Who is using Apache Celeborn? #2140

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SteNicholas opened this issue Dec 11, 2023 · 29 comments
Open
1 of 2 tasks

Who is using Apache Celeborn? #2140

SteNicholas opened this issue Dec 11, 2023 · 29 comments

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@SteNicholas
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  • I searched in the issues and found nothing similar.

Motivation

Who's using Apache Celeborn?

The Apache Celeborn community grows with the combined efforts of every user and developer and appreciates every user and developer who uses and cares about Celeborn. 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 Celeborn to improve the efficiency and elasticity of different map-reduce engines and provides an elastic, high-efficient management service for intermediate data including shuffle data, spilled data, result data, etc.

Regards,

Apache Celeborn Community

Solution

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Anything else?

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Are you willing to submit a PR?

  • I'm willing to submit a PR!
@gaochao0509
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gaochao0509 commented Dec 11, 2023

Organization: New Baatur
Region: Shen zhen, China
Contact information: [email protected]
Usage scenario: Use Apache Celeborn to improve the efficiency and resilience of the Spark/MapReduce engine, providing elastic and efficient management services for intermediate data such as Shuffle data, overflow data, and result data.
Location: Currently, 10+locations have been deployed, with significant stability improvement and performance improvement of over 30%.
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@carp84

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@cxzl25
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cxzl25 commented Dec 11, 2023

  • Organization: Trip.com Group
  • Region: Shanghai, China
  • Contact: [email protected]
  • Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle.

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@cxzl25 cxzl25 pinned this issue Dec 11, 2023
@big-loser
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big-loser commented Dec 11, 2023

Organization: inmobi Group
Region: Beijing, China
Contact: [email protected]
Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle.

@RuiQin7
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RuiQin7 commented Dec 11, 2023

Organization: zto.com Group
Region: Shanghai, China
Contact: [email protected]
Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle

1

@BsoBird
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BsoBird commented Dec 11, 2023

Organization: shuyun Inc
Region: hangzhou, China
Contact: [email protected]
Usage Scenario: By using apache celeborn, We realised the separation of storage and compute in HIVE-MR3/SPARK-KYUUBI, which effectively reduces the cost of the server room.
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@SteNicholas
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SteNicholas commented Dec 11, 2023

  • Organization: Bilibili Inc
  • Region: Shanghai, China
  • Contact: [email protected]
  • Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark and Flink(Batch) engine shuffle.
    BILIBILI logo

@jiaoqingbo
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  • Organization: AsiaInfo
  • Region: Beijing, China
  • Contact: [email protected]
  • Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle.
    image

@lifulong
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lifulong commented Dec 12, 2023

Organization: Zhihu Inc
Region: Beijing, China
Contact: [email protected]
Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark engine shuffle.
image

@TongWei1105
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TongWei1105 commented Dec 12, 2023

Organization: Xiaohongshu Inc
Region: Shanghai, China
Contact: [email protected]
Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark and Flink(Batch) engine shuffle.
xiaohongshu

@onebox-li
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  • Organization: BIGO
  • Region: Guangzhou, China
  • Contact: [email protected]
  • Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle.
    bigo_logo

@AngersZhuuuu
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Organization: SHOPEE
Region: Shenzhen, China
Contact: [email protected]
Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle.
image

@lianneli
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Organization: DMALL
Region: Beijing, China
Contact: [email protected], [email protected], [email protected]
Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle.
B端业务-横版-蓝色

@camper42
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Organization: Douban
Region: Beijing, China
Contact: [email protected]
Usage Scenario: we use Apache Celeborn to support better Spark dynamic resource allocation in Kubernetes.

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@wfxxh
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wfxxh commented Feb 27, 2024

Organization: WanFang Data
Region: Beijing, China
Contact: [email protected]
Usage Scenario: We use Apache Celeborn to improve the stability and efficiency of Spark shuffle on k8s
image

@wxplovecc
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Organization: Tongcheng Travel(同程旅行).
Region: Jiangsu, China
Contact: www.ly.com
Usage Scenario: we use Apache Celeborn to improve the stability and efficiency of spark shuffle.
image

@CodingCat
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CodingCat commented Mar 8, 2024

Organization: e.g. Pinterest
Region: US
Contact: @CodingCat
Usage Scenario: we use Apache Celeborn to improve the efficiency and elasticity of Spark@K8S

image

@akpatnam25
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akpatnam25 commented Mar 12, 2024

Organization: LinkedIn
Region: US
Contact: @akpatnam25
Usage Scenario: we use Apache Celeborn to improve the stability and efficiency of spark shuffle.
image

@liugs0213
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liugs0213 commented Mar 20, 2024

Organization: BOSS Zhipin
Region: Beijing, China
Contact: @liugs0213
Usage Scenario: we use Apache Celeborn to improve the efficiency and elasticity of Spark@K8S
image

@lohitvijayarenu
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Organization: Stripe
Region: US
Contact: @lohitvijayarenu
Usage Scenario: Apache Celeborn helps Spark workloads with efficient and elastic shuffle. Celeborn will also help in Storage and compute disaggregation for efficient use of resources.
image

@wangshengjie123
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Organization: Xiaomi
Region: Beijing, China
Contact: [email protected]
Usage Scenario: We use Celeborn to improve the stability and efficiency of shuffle.
小米办公20240809-184309

@ASiegeLion
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Organization: YY
Region: GuangZhou, China
Contact: https://www.yy.com/web/jinhong/#/connect
Usage Scenario: We use Celeborn to improve the stability and efficiency of shuffle.
image

@apache apache deleted a comment from AngersZhuuuu Aug 13, 2024
@jinyuchen724
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Organization: WuXianShengHuo
Region: HangZhou, China
Contact: https://www.weidian.com
Usage Scenario: We use Celeborn to improve the stability and efficiency of shuffle.

image

@HYBG-1126
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HYBG-1126 commented Oct 9, 2024

Organization: 竞技世界(jjworld)
Region: Beijing, China
Contact: https://www.jj.cn/
Usage Scenario: we use Apache Celeborn to improve the efficiency and elasticity of Spark@K8S
6e60d976-aab1-4d1c-9bf9-0c6cf82f2961

@LennonChin
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LennonChin commented Oct 10, 2024

Organization: 蔚来(www.nio.com
Region: Shanghai, China
Contact: @LennonChin
Usage Scenario: we use Apache Celeborn to improve the efficiency and elasticity of Spark on K8S.

Masterbrand_NIO蔚來_CN

@conorzhao
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conorzhao commented Nov 19, 2024

Organization: 金城银行
Region: ShenZhen, China
Contact: https://www.kcbebank.com/
Usage Scenario: we use Apache Celeborn to improve the efficiency and elasticity of Spark Shuffle
1

@lzw7916002
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Organization: TUYA
Region: Hang zhou, China
Contact information: https://www.tuya.com/cn/
Usage scenario: Use Apache Celeborn to improve the efficiency and resilience of the Spark engine, providing elastic and efficient management services for intermediate data such as Shuffle data, overflow data, and result data.
Location: Currently, 3+locations have been deployed, with significant stability improvement and performance improvement of over 20%.
285367595845279744

@lukaizj
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lukaizj commented Nov 27, 2024

Organization: 企查查
Region: Suzhou, China
Contact: https://www.qcc.com
Usage Scenario: we use Apache Celeborn to improve the efficiency and elasticity of Kyuubi+Spark on K8S.
1732679349798_82BD2322-B1E4-4759-B794-EF4196039F5F

@zhisheng17
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Organization: 哈啰
Region: Shanghai, China
Contact: https://www.hello-inc.com/
Usage Scenario: We use Apache Celeborn in the Flink/Spark On K8s hybrid deployment scenario in the production environment to improve the stability of tasks and clusters, improve efficiency and ensure stability.

image

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