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Using Apache Hudi with Apache Iceberg: Interoperability via Apache XTable Tags: Yes — Apache Iceberg engines and catalogs can read Apache Hudi tables
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Using Apache Hudi with Apache Iceberg: Interoperability via Apache

https://hudi.apache.org/blog/2026/07/28/using-hudi-with-apache-iceberg-via-xtable
Using Apache Hudi with Apache Iceberg: Interoperability via Apache XTable Tags: Yes — Apache Iceberg engines and catalogs can read Apache Hudi tables

Spark Quick Start

https://hudi.apache.org/docs/quick-start-guide
13 spark-shell --master "local[2]" \ --packages org

Concurrency Control

https://hudi.apache.org/docs/concurrency_control
Concurrency Control Concurrency control defines how different writers, readers, and table services coordinate access to a Hudi table

Apache Hudi - The Data Lake Platform

https://hudi.apache.org/blog/2021/07/21/streaming-data-lake-platform
Streaming: At its core, by optimizing for fast upserts & change streams, Hudi provides the primitives to data lake workloads that are comparable to what Apache Kafka does for event-streaming (namely, incremental produce/consume of events and a state-store for interactive querying)

What is an Open Table Format?

https://hudi.apache.org/blog/2026/07/14/what-is-an-open-table-format
Apache Hudi, Apache Iceberg, Delta Lake, and Apache Paimon are the major open table formats; in all of them the data itself stays in open file formats like Apache Parquet or Apache ORC

This document is a specification for the Hudi's Storage Format which

https://hudi.apache.org/learn/tech-specs-0-point-x
Apache Hudi will manage metadata, and provide common abstractions and pluggable interfaces to most/all common compute/query engines

Adopters

https://hudi.apache.org/powered-by
Adopters Apache Hudi is a fast growing diverse community of people and organizations from all around the globe

Overview

https://hudi.apache.org/docs/overview
This overview will provide a high level summary of what Apache Hudi is and will orient you on how to learn more to get started

Data Lakehouse vs Data Warehouse vs Data Lake: What's the Difference?

https://hudi.apache.org/blog/2026/07/23/lakehouse-vs-data-warehouse-vs-data-lake
Projects like Apache Hudi, Apache Iceberg, and Delta Lake define tables (not just files) over Parquet and ORC, and bring the database capabilities the lake was missing: ACID transactions with concurrency control, so writers commit atomically and readers never see partial results

Incremental Processing on the Data Lake

https://hudi.apache.org/blog/2020/08/18/hudi-incremental-processing-on-data-lakes
Apache Hudi is a data lake framework which provides exactly this ability to ingest, manage and query large analytical data sets on a distributed file system/cloud stores

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