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Syntax

https://hudi.apache.org/learn/tech-specs

Syntax note This document specifies the current storage format — table version 9, as shipped through Hudi 1

Privacy Policy

https://hudi.apache.org/asf/privacy

We use the gathered information to help us make our site more useful to visitors and to better understand how and when our site is used

Maven Artifacts:

https://hudi.apache.org/releases/download

io, and PyPi The EOL release notes will be removed from Hudi website, but kept accessible via https://hudi

Tencent Cloud

https://hudi.apache.org/docs/cos_hoodie

Tencent Cloud In this page, we explain how to get your Hudi spark job to store into Tencent Cloud COS

Alibaba Cloud

https://hudi.apache.org/docs/oss_hoodie

Alibaba Cloud In this page, we explain how to get your Hudi spark job to store into Aliyun OSS

Disclaimer

https://hudi.apache.org/docs/azure_hoodie

Disclaimer This page is maintained by the Hudi community

RFC Process

https://hudi.apache.org/contribute/rfc-process

Proposing the RFC First, start a discussion thread on the Apache Hudi dev mailing list, by sending an email to dev@hudi

Highlights

https://hudi.apache.org/releases/release-1.1

This release brings native Hudi integration through the new framework, allowing users to leverage Hudi's advanced capabilities directly while maintaining consistent semantics and performance

AWS S3

https://hudi.apache.org/docs/s3_hoodie

Alternatively, add the required configs in your core-site

Bringing Vector Search to the Lakehouse with Apache Hudi

https://hudi.apache.org/blog/2026/07/06/bringing-vector-search-to-the-lakehouse-with-apache-hudi

Apache Hudi's native vector search brings that workflow closer to the table itself

IBM Cloud

https://hudi.apache.org/docs/ibm_cos_hoodie

Alternatively, add the required configs in your core-site

GCS Configs

https://hudi.apache.org/docs/gcs_hoodie

defaultFS with your GCS bucket name and Hudi should be able to read/write from the bucket

Apache HudiTM brings

https://hudi.apache.org

Apache HudiTM brings What is Hudi Apache Hudi is an open data lakehouse platform, built on a high-performance open table format to bring database functionality to your data lakes

Telemetry

https://hudi.apache.org/asf/telemetry

Telemetry Scarf Apache Hudi uses Scarf to collect anonymous usage data to better understand how users use the system, the website, and the docs and where to focus improvements next

Deep Dive Into Hudi’s Indexing Subsystem (Part 1 of 2)

https://hudi.apache.org/blog/2025/10/29/deep-dive-into-hudis-indexing-subsystem-part-1-of-2/

Apache Hudi extends this fundamental principle to the data lakehouse with a unique and powerful approach

Talks & Presentations

https://hudi.apache.org/learn/talks

"Apache Hudi learning series: Understanding Hudi internals" - By Abhishek Modi, Balajee Nagasubramaniam, Prashant Wason, Satish Kotha, Nishith Agarwal, Feb 2021, Uber Meetup "Presto Eco system Panel Discussion" - By Vinoth Chandar, Dipti Borkar, Nezih Yigitbasi, Maxime Beauchemin, Kishore

Point Lookups on the Lakehouse: How Hudi Indexes Accelerate Read-Heavy

https://hudi.apache.org/blog/2026/08/14/hudi-for-read-heavy-workloads-point-lookups-with-indexes

Apache Hudi answers this with queryable indexes maintained inside its metadata table: a record-level index that maps each record key to its file group, secondary indexes that map non-key column values to record keys, expression indexes over transformed columns, and centrally stored bloom filters