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https://hudi.apache.org/learn/tech-specs
Syntax
note
This document specifies the current storage format — table version 9, as shipped through Hudi 1
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
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
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
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
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
https://hudi.apache.org/docs/azure_hoodie
Disclaimer
This page is maintained by the Hudi community
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
https://hudi.apache.org/releases/release-1.1
Apache XTable (Incubating) provides pluggable format adapters for formats like Iceberg and Delta Lake
https://hudi.apache.org/docs/s3_hoodie
Alternatively, add the required configs in your core-site
https://hudi.apache.org/docs/ibm_cos_hoodie
Alternatively, add the required configs in your core-site
https://hudi.apache.org/docs/gcs_hoodie
defaultFS with your GCS bucket name and Hudi should be able to read/write from the bucket
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
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
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
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
https://hudi.apache.org/community/syncs
If you haven't already, please like and follow the Apache Hudi LinkedIn and Twitter
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
https://hudi.apache.org/docs/concepts
Timeline
At its core, Hudi maintains a timeline of all actions performed on the table at different instants of time that helps provide instantaneous views of the table, while also efficiently supporting retrieval of data in the order of arrival
https://hudi.apache.org/contribute/developer-sync-call
Developer Sync Call
The Hudi community is hosting weekly developer sync calls
https://hudi.apache.org/docs/cloud
AWS S3
Configurations required for S3 and Hudi co-operability