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new dc2b2384208f docs(blog): minor update on 2025 Hudi blog (#17753)
dc2b2384208f is described below
commit dc2b2384208f7852604fc6ca816f3e9bd0dab137
Author: Shiyan Xu <[email protected]>
AuthorDate: Tue Dec 30 10:16:10 2025 -0600
docs(blog): minor update on 2025 Hudi blog (#17753)
---
website/blog/2025-12-29-apache-hudi-2025-a-year-in-review.mdx | 10 +++++-----
1 file changed, 5 insertions(+), 5 deletions(-)
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
index e483fe1ef274..1873042d8b10 100644
--- 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
@@ -11,17 +11,17 @@ tags:
<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.
+As we close out 2025, it's clear that this has been 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 adoption worldwide.
## Community and Growth
-2025 brought steady momentum in contributions and expanding community
engagement.
+2025 brought steady momentum in contributions and 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 [...]
+The project celebrated new milestones in contributor recognition. [Yue
Zhang](https://people.apache.org/committer-index.html#zhangyue19921010) was
elected to 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 [...]
## Development Highlights
@@ -31,7 +31,7 @@ The project celebrated new milestones in contributor
recognition. [Yue Zhang](ht
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 [...]
+Spark 4.0 and Flink 2.0 support was 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.
@@ -67,7 +67,7 @@ JD.com hosted the [second Asia
meetup](https://hudi.apache.org/blog/2025/12/01/a
### 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 [...]
+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'}} />
