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in repository https://gitbox.apache.org/repos/asf/hudi.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 694ca19a4b1f docs(blog): Hudi 2025 review blog (#17752)
694ca19a4b1f is described below
commit 694ca19a4b1f98087aadef04d2819f7156ae17af
Author: Shiyan Xu <[email protected]>
AuthorDate: Tue Dec 30 08:35:01 2025 -0600
docs(blog): Hudi 2025 review blog (#17752)
---
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diff --git a/website/blog/2025-11-25-apache-hudi-release-1-1-announcement.md
b/website/blog/2025-11-25-apache-hudi-release-1-1-announcement.md
index 84b8477c6604..80cde0ee9d9c 100644
--- a/website/blog/2025-11-25-apache-hudi-release-1-1-announcement.md
+++ b/website/blog/2025-11-25-apache-hudi-release-1-1-announcement.md
@@ -13,7 +13,7 @@ tags:
The Hudi community is excited to announce the [release of Hudi
1.1](https://hudi.apache.org/releases/release-1.1.1), a major milestone that
sets the stage for the next generation of data lakehouse capabilities. This
release represents months of focused engineering on foundational improvements,
engine-specific optimizations, and key architectural enhancements, laying the
foundation for ambitious features coming in future releases.
-Hudi continues to evolve rapidly, with contributions from a vibrant community
of developers and users. The 1.1 release brings over 700 commits addressing
performance bottlenecks, expanding engine support, and introducing new
capabilities that make Hudi tables more reliable, faster, and easier to
operate. Let’s dive into the highlights.
+Hudi continues to evolve rapidly, with contributions from a vibrant community
of developers and users. The 1.1 release brings over 800 commits addressing
performance bottlenecks, expanding engine support, and introducing new
capabilities that make Hudi tables more reliable, faster, and easier to
operate. Let’s dive into the highlights.
## Pluggable Table Format—The Foundation for Multi-Format Support
diff --git a/website/blog/2025-12-29-apache-hudi-2025-a-year-in-review.mdx
b/website/blog/2025-12-29-apache-hudi-2025-a-year-in-review.mdx
new file mode 100644
index 000000000000..60175066a341
--- /dev/null
+++ b/website/blog/2025-12-29-apache-hudi-2025-a-year-in-review.mdx
@@ -0,0 +1,155 @@
+---
+title: "Apache Hudi 2025: A Year In Review"
+excerpt: ""
+author: Shiyan Xu
+category: blog
+image:
/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/00-og.png
+tags:
+- apache hudi
+- community
+---
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/00-og.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+As we close out 2025, it's clear that this was a transformative year for
Apache Hudi. The community continued to grow, delivered major advances in
interoperability and performance, published "The Definitive Guide" book, and
expanded our global reach through meetups, conferences, and growing adoption
worldwide.
+
+## Community and Growth
+
+2025 brought steady momentum in contributions and expanding community
engagement.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/01-pr-history.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+GitHub pull request activities remained steady throughout 2025, reflecting
consistent development momentum. GitHub contributors reached over 500.
Community engagement also grew — followers across social media platforms
(LinkedIn, X, YouTube, and WeChat) increased to about 35,000, while Slack
community users grew to close to 5,000.
+
+The project celebrated new milestones in contributor recognition. [Yue
Zhang](https://people.apache.org/committer-index.html#zhangyue19921010) joined
the Project Management Committee (PMC) for driving several major RFCs and
features, evangelizing Hudi at meetups, and leading the effort to productionize
hundreds of petabytes at JD.COM. [Tim
Brown](https://people.apache.org/committer-index.html#timbrown) was nominated
as a committer for modernizing read/write operations behind Hudi 1.1's p [...]
+
+## Development Highlights
+
+[Hudi 1.1](https://hudi.apache.org/releases/release-1.1.1) landed with over
800 commits from 50+ contributors. The headline feature is the pluggable table
format framework — Hudi's storage engine is now pluggable, allowing its
battle-tested transaction management, indexing, and concurrency control to work
while storing data in Hudi's native format or other table formats like [Apache
Iceberg](https://iceberg.apache.org/) via [Apache XTable
(incubating)](https://xtable.apache.org/).
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/03-hudi11.jpg"
alt="drawing" style={{width:'80%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+Performance saw major gains across the board. Parquet binary copy for
clustering delivered 10-15x faster execution with 95% compute reduction. Apache
Flink writer achieved 2-3x improved throughput with Avro conversion eliminated
in the write path. Apache Spark metadata-table streaming ran ~18% faster for
update-heavy workloads. Indexing enhancements — partitioned record index,
partition-level bucket index, HFile caching, and Bloom filters — delivered up
to 4x speedup for lookups on massi [...]
+
+Spark 4.0 and Flink 2.0 support were added. [Apache Polaris
(incubating)](https://polaris.apache.org/) catalog integration enabled
multi-engine queries with unified governance. Operational simplicity improved
with storage-based locking that eliminated external dependencies. New merge
modes replaced legacy payload classes with declarative options, and SQL
procedures enhanced table management directly in Spark SQL. See more details in
the [release blog](https://hudi.apache.org/blog/2025/11 [...]
+
+[Hudi-rs](https://github.com/apache/hudi-rs) expanded its feature support —
release 0.3.0 introduced Merge-on-Read and incremental queries, while 0.4.0
added C++ bindings and Avro log file support. The native Rust implementation
now powers Ray Data and Daft integrations for ML and multi-cloud analytics.
+
+## New Book Published
+
+[Apache Hudi: The Definitive
Guide](https://www.onehouse.ai/whitepaper/apache-hudi-the-definitive-guide),
published by O'Reilly, distills Hudi's 8+ years of innovation from 500+
contributors into a comprehensive resource for data engineers and architects.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/02-book-cover.png"
alt="drawing" style={{width:'80%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+Across 10 chapters, the guide covers writing and reading patterns, indexing
strategies, table maintenance, concurrency handling, streaming pipelines with
Hudi Streamer, and production deployment. With practical examples spanning
batch, interactive, and streaming analytics, it takes you from getting started
to building end-to-end lakehouse solutions at enterprise scale.
+
+## Meetups and Conferences
+
+Community events brought together thousands of attendees across meetups and
conferences worldwide.
+
+### Bangalore Hudi Community Meetup
+
+A full-house gathering took place at Onehouse's India office in January,
featuring deep dives into Hudi 1.0 and lakehouse architecture. The event
connected developers, contributors, and enthusiasts from India's growing data
engineering community.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/04-bgl-meetup.png"
alt="drawing" style={{width:'90%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+### 1st Hudi Asia Meetup by Kuaishou
+
+Our first-ever Asia meetup in March, organized by Kuaishou, drew 231 in-person
attendees and 16,673 total platform views. The event featured discussions on
Hudi's roadmap, lakehouse architecture patterns, and adoption stories from
leading Chinese tech companies.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/05-kuaishou-meetup.png"
alt="drawing" style={{width:'90%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+### 2nd Hudi Asia Meetup by JD.com
+
+JD.com hosted the [second Asia
meetup](https://hudi.apache.org/blog/2025/12/01/apache-hudi-JD-meetup-asia-2025-recap/)
in October, bringing together contributors and adopters for talks on
real-world lakehouse implementations, streaming ingestion at scale, and roadmap
discussions.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/06-jd-meetup.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+### CMU Database Seminar
+
+Vinoth Chandar, Hudi PMC Chair, presented "[Apache Hudi: A Database Layer Over
Cloud Storage for Fast Mutations & Queries](https://youtu.be/AYaw06_Xazo)" at
Carnegie Mellon University's [Future Data Systems
Seminar](https://db.cs.cmu.edu/events/futuredata-apache-hudi/). The talk
covered how Hudi brings database-like abstractions to data lakes — enabling
efficient mutations, transaction management, and fast incremental reads through
storage layout, indexing, and concurrency control design [...]
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/07-cmu-talk.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+### OpenXData
+
+Amazon engineers presented "[Powering Amazon Unit Economics at Scale Using
Hudi](https://www.youtube.com/watch?v=KmAeQ57AGmc)" at
[OpenXData](https://www.openxdata.ai/), sharing how they built Nexus — a
scalable, configuration-driven platform with Hudi as the cornerstone of its
data lake architecture. The talk highlighted how Hudi enables Amazon to tackle
the massive challenge of understanding and improving unit-level profitability
across their ever-growing businesses.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/08-openxdata-amzn-talk.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+### VeloxCon
+
+Shiyan Xu, Hudi PMC member, presented on [Hudi integration with Velox and
Gluten](https://www.youtube.com/watch?v=N5RIWNEIBNQ) for accelerating query
performance, and on how Hudi-rs, the native Rust implementation with
multi-language bindings such as Python and C++, can enable high-performance
analytics across the open lakehouse ecosystem.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/09-veloxcon.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+### Data Streaming Summit
+
+Two talks showcased Hudi's streaming capabilities. Zhenqiu Huang shared [how
Uber runs 5,000+ Flink-Hudi
pipelines](https://www.youtube.com/watch?v=FDeP0JKe7RQ), ingesting 600TB daily
with P90 freshness under 15 minutes. Shiyan Xu presented on [Hudi's
high-throughput streaming
capabilities](https://www.youtube.com/watch?v=GUMiY44iy74) such as record-level
indexing, async table services, and the non-blocking concurrency control
mechanism introduced in Hudi 1.0.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/10-dsssf.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+### Open Source Data Summit
+
+Shiyan Xu presented on [streaming-first lakehouse
designs](https://opensourcedatasummit.com/streaming-lakehouse/), covering
Merge-on-Read table type, record-level indexing, auto-file sizing, async
compaction strategies, and non-blocking concurrency control that enable
streaming lakehouses with optimized mutable data handling.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/11-osds.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+## Content Highlights
+
+Throughout 2025, organizations across industries showcased their production
adoption and implementation journeys through community syncs and blogs. These
stories highlight Hudi's versatility as a lakehouse platform.
+
+<img
src="/assets/images/blog/2025-12-29-apache-hudi-2025-a-year-in-review/12-content-highlights.png"
alt="drawing" style={{width:'100%', display:'block', marginLeft:'auto',
marginRight:'auto', marginTop:'18pt', marginBottom:'18pt'}} />
+
+Featured adoption stories:
+
+- Uber: [From Batch to Streaming: Accelerating Data Freshness in Uber’s Data
Lake](https://hudi.apache.org/blog/2025/12/12/from-batch-to-streaming-accelerating-data-freshness-in-ubers-data-lake)
+- Amazon: [Powering Amazon Unit Economics at Scale Using Apache
Hudi](https://hudi.apache.org/blog/2025/03/31/amazon-hudi/)
+- Kuaishou: [Hudi Lakehouse: The Evolution of Data Infrastructure for AI
workloads](https://youtu.be/Iv-2Gj-sHOw?si=QGqbLKdE-NiZ8Jnj)
+- Southwest Airlines: [Modernizing Data Infrastructure using Apache
Hudi](https://youtu.be/X3FW4IYmYE4?si=3rqNpu83pig5FJKU)
+- Halodoc: [Optimizing Apache Hudi Workflows: Automation for Clustering,
Resizing &
Concurrency](https://hudi.apache.org/blog/2025/06/13/Optimizing-Apache-Hudi-Workflows-Automation-for-Clustering-Resizing-Concurrency)
+- Uptycs: [From Transactional Bottlenecks to Lightning-Fast
Analytics](https://hudi.apache.org/blog/2025/03/26/uptycs/)
+
+The community also published noteworthy content:
+
+- [21 Unique Reasons Why Apache Hudi Should Be Your Next Data
Lakehouse](https://hudi.apache.org/blog/2025/03/05/hudi-21-unique-differentiators/)
+- [The Future of Data Lakehouses: A Fireside Chat with Vinoth
Chandar](https://hudi.apache.org/blog/2025/01/08/the-future-of-data-lakehouses-a-fireside)
+- Deep Dive into Hudi's Indexing Subsystem: [part
1](https://hudi.apache.org/blog/2025/10/29/deep-dive-into-hudis-indexing-subsystem-part-1-of-2)
and [part
2](https://hudi.apache.org/blog/2025/11/12/deep-dive-into-hudis-indexing-subsystem-part-2-of-2)
+- [Hudi 1.1 Deep Dive: Optimizing Streaming Ingestion with
Flink](https://hudi.apache.org/blog/2025/12/10/apache-hudi-11-deep-dive-optimizing-streaming-ingestion-with-flink/)
+- [Maximizing Throughput with Apache Hudi NBCC: Stop Retrying, Start
Scaling](https://hudi.apache.org/blog/2025/12/16/maximizing-throughput-nbcc/)
+- [Exploring Apache Hudi’s New Log-Structured Merge (LSM)
Timeline](https://hudi.apache.org/blog/2025/05/29/lsm-timeline/)
+- [Introducing Secondary Index in Apache
Hudi](https://hudi.apache.org/blog/2025/04/02/secondary-index/)
+- Lakehouse Chronicles YouTube episodes: [ep.
5](https://youtu.be/IxMSgPVcugs?si=lWBQuBqtbimUo-3Y), [ep.
6](https://youtu.be/t_LtUTt3DXE?si=TzWoSgXtcgVnvjkq), and [ep.
7](https://youtu.be/CdnYdw-dyTI?si=DMoc0ci7Ix8jl0F4)
+- [Interactive Jupyter Notebooks for hands-on
learning](https://hudi.apache.org/docs/notebooks)
+
+## Looking Ahead
+
+The upcoming releases in 2026 will bring AI/ML-focused capabilities —
including unstructured data types, column groups for embeddings, vector search,
and Lance/Vortex format support. We'll also continue expanding multi-format
interoperability through the pluggable table format framework and advancing
streaming-first optimizations for real-time ingestion and sub-minute freshness.
See the full [roadmap](https://hudi.apache.org/roadmap) for details.
+
+Whether you're contributing code, sharing feedback, or spreading the word —
we'd love to have you involved:
+
+- Contribute on GitHub: [Hudi](https://github.com/apache/hudi/contribute) &
[Hudi-rs](https://github.com/apache/hudi-rs/contribute)
+- Join our [Slack community](https://hudi.apache.org/slack)
+- Follow us on [LinkedIn](https://www.linkedin.com/company/apache-hudi/) and
[X (Twitter)](https://x.com/apachehudi)
+- Subscribe to our [YouTube channel](https://www.youtube.com/@apachehudi)
+- Follow WeChat account "ApacheHudi" for news and content in Chinese
+- Participate in the [developer
syncs](https://hudi.apache.org/contribute/developer-sync-call), [community
syncs](https://hudi.apache.org/community/syncs), and [office
hours](https://hudi.apache.org/community/office_hours)
+- Subscribe to the dev mailing list (by sending an empty email):
[[email protected]](mailto:[email protected])
+
+A huge thank you to everyone who contributed to Hudi's growth this year. With
such a strong foundation, 2026 promises to be our most exciting year yet.
+
+
+<!--refs
+- Hudi 1.1 Release Blog:
https://hudi.apache.org/blog/2025/11/25/apache-hudi-release-1-1-announcement/
+- Vinoth Chandar's Hudi 1.1 Post:
https://www.linkedin.com/posts/vinothchandar_apachehudi-dataengineering-lakehouse-activity-7399139980138311680-YkU-/
+- Yue Zhang PMC Announcement:
https://www.linkedin.com/posts/apache-hudi_apachehudi-opensource-dataengineering-activity-7368712944081125378-tdUq/
+- Tim Brown & Shawn Chang Committer Announcement:
https://www.linkedin.com/feed/update/urn:li:activity:7409677366752579584/
+- Definitive Guide Book Announcement:
https://www.linkedin.com/posts/vinothchandar_apachehudi-dataengineering-datalakehouse-activity-7391527330994839554-nAc4/
+- Hudi Newsletter #11 (Bangalore Meetup):
https://hudinewsletter.substack.com/p/hudi-newsletter11-january-2025
+- Hudi Newsletter #13 (Kuaishou Meetup):
https://hudinewsletter.substack.com/p/hudi-newsletter13-march-2025
+- Hudi Newsletter #20 (JD.com Meetup):
https://hudinewsletter.substack.com/p/hudi-newsletter-20-october-2025
+- JD.com Meetup Recap Blog:
https://hudi.apache.org/blog/2025/12/01/apache-hudi-JD-meetup-asia-2025-recap/
+- JD.com Meetup LinkedIn Post:
https://www.linkedin.com/posts/apache-hudi_apachehudi-datalakehouse-bi-activity-7401716166509170689-Umop/
+- Hudi Newsletter #19 (CMU Seminar):
https://hudinewsletter.substack.com/p/hudi-newsletter-19-september-2025
+- CMU Future Data Systems Seminar:
https://db.cs.cmu.edu/events/futuredata-apache-hudi/
+-->
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