+1 for kicking off Paimon 2.0. Best, Leonard
> 2025 12月 23 13:53，Jingsong Li <[email protected]> 写道： > > Hi Yu, > > I have created a roadmap website [1] and umbrella issue [2]. > > [1] https://paimon.apache.org/roadmap > [2] https://github.com/apache/paimon/issues/6866 > > Best, > Jingsong > > On Mon, Dec 22, 2025 at 1:07 PM Yong Fang <[email protected]> wrote: >> >> Big +1, thank Jingsong for the proposal, it marks an important step for >> Paimon toward the AI Lake, and I'm very much looking forward to it. >> >> Best, >> FangYong >> >> On Mon, Dec 22, 2025 at 11:03 AM Biao Liu <[email protected]> wrote: >> >>> Great to hear that! >>> >>> Thanks, >>> Biao /'bɪ.aʊ/ >>> >>> >>> >>> On Thu, 18 Dec 2025 at 12:30, Yu Li <[email protected]> wrote: >>> >>>> Thanks for the proposal, Jingsong — big +1 from me! >>>> >>>> I’ve noticed there are already several active efforts underway [1][2] >>>> aligned with the vision of a *unified lake format for multimodal data*. >>>> Given this momentum, I think now is the right time to formalize a >>> detailed >>>> plan for the 2.0 release. >>>> >>>> One quick question: Is there a centralized place where we can track >>>> detailed release progress - such as issues categorized by version, status >>>> (done/in-progress/backlog) - similar to how Flink manages releases via >>> JIRA >>>> [3]? >>>> >>>> Also, would it make sense to add a dedicated **Roadmap** tab to our >>>> official website, following the example of Fluss [4]? This could greatly >>>> improve transparency and alignment with the community. >>>> >>>> Thanks. >>>> >>>> Best Regards, >>>> Yu >>>> >>>> [1] >>>> >>>> >>> https://cwiki.apache.org/confluence/display/PAIMON/PIP-35%3A+Introduce+Blob+to+store+multimodal+data >>>> [2] >>>> >>>> >>> https://cwiki.apache.org/confluence/display/PAIMON/PIP-40%3A+Introduce+a+new+Vector+data+type >>>> [3] https://issues.apache.org/jira/projects/FLINK/versions/12356392 >>>> [4] https://fluss.apache.org/roadmap/ >>>> >>>> On Thu, 18 Dec 2025 at 10:18, Chenghui Chen <[email protected]> wrote: >>>> >>>>> +1. Excited to see Paimon shine in the AI era! >>>>> >>>>> >>>>> On Wed, Dec 17, 2025 at 10:28 PM Mehul Batra <[email protected] >>>> >>>>> wrote: >>>>> >>>>>> +1. >>>>>> Looking forward to it. >>>>>> >>>>>> Best regards, >>>>>> Mehul >>>>>> >>>>>> On Wed, Dec 17, 2025 at 5:14 PM yuxia <[email protected]> >>>>> wrote: >>>>>> >>>>>>> +1. >>>>>>> Looking forward to it. >>>>>>> >>>>>>> Best regards, >>>>>>> Yuxia >>>>>>> >>>>>>> ----- 原始邮件 ----- >>>>>>> 发件人: "Blue Umi" <[email protected]> >>>>>>> 收件人: "dev" <[email protected]> >>>>>>> 发送时间: 星期三, 2025年 12 月 17日 下午 2:17:43 >>>>>>> 主题: [SPAM]Re: [DISCUSS] Apache Paimon 2.0 Version planning >>>>>>> >>>>>>> +1, I can't wait to see the wide application of paimon in the field >>>> of >>>>>> AI. >>>>>>> >>>>>>> On Wed, Dec 17, 2025 at 12:29 PM 王刚 <[email protected]> wrote: >>>>>>> >>>>>>>> +1, looking forward to the optimizations of Paimon in AI >>> scenarios. >>>>>>>> >>>>>>>> wj wang <[email protected]> 于2025年12月17日周三 10:33写道： >>>>>>>> >>>>>>>>> +1, very pleased to see Paimon's progress in AI. >>>>>>>>> >>>>>>>>> On Wed, Dec 17, 2025 at 9:04 AM Yunfeng Zhou >>>>>>>>> <[email protected]> wrote: >>>>>>>>>> >>>>>>>>>> Thanks for the proposal. It would definitely boost Paimon’s >>>>>>> development >>>>>>>>> in the next era for AI. >>>>>>>>>> >>>>>>>>>> Best, >>>>>>>>>> Yunfeng >>>>>>>>>> >>>>>>>>>>> 2025年12月16日 16:45，Jingsong Li <[email protected]> 写道： >>>>>>>>>>> >>>>>>>>>>> Hi everyone, >>>>>>>>>>> >>>>>>>>>>> Apache Paimon, as a high-performance data lake format, has >>>>>> achieved >>>>>>>>>>> significant results in the field of structured data >>>> processing. >>>>>>> With >>>>>>>>>>> the deepening of AI application scenarios, the demand for >>>>> fusion >>>>>>>>>>> analysis of multimodal data (such as text, images, audio, >>>>> video, >>>>>>>> etc.) >>>>>>>>>>> is increasing day by day. We have invested a lot of >>>> development >>>>>>> work >>>>>>>>>>> in cross modal retrieval, unified storage, and efficient >>>>>> analysis. >>>>>>>>>>> >>>>>>>>>>> We plan to launch version 2.0 development, focusing on >>>> breaking >>>>>>>>>>> through multimodal data support and creating a more >>> powerful >>>>> data >>>>>>>> lake >>>>>>>>>>> solution. >>>>>>>>>>> >>>>>>>>>>> Core objective: >>>>>>>>>>> - Unified Storage for structure & multimodal & vector. >>>>>>>>>>> - Efficient Search for data and vectors. >>>>>>>>>>> - Python ecosystem. >>>>>>>>>>> >>>>>>>>>>> Core features: >>>>>>>>>>> 1. Data Evolution mode. >>>>>>>>>>> 2. Blob Store. >>>>>>>>>>> 3. Vector Store. >>>>>>>>>>> 4. Python SDK & Ray Supports >>>>>>>>>>> 5. Global Index framework. >>>>>>>>>>> 6. Global Vector Index. >>>>>>>>>>> 7. Global Invert Index. >>>>>>>>>>> >>>>>>>>>>> What do you think? >>>>>>>>>>> >>>>>>>>>>> Best, >>>>>>>>>>> Jingsong >>>>>>>>>> >>>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>>
