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Apache Hudi - The Data Lake Platform
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Apache Hudi is a streaming data lake platform built around a database kernel—not merely a table format or a transactional layer, but a complete software stack with built-in table services, data services, and incremental processing capabilities
from the top result below
https://hudi.apache.org/blog/2021/07/21/streaming-data-lake-platform
Apache Hudi - The Data Lake Platform
Tags:
Apache Hudi is a streaming data lake platform built around a database kernel—not merely a table format or a transactional layer, but a complete software stack with built-in table services, data services, and incremental processing capabilities
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
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Yes — Apache Iceberg engines and catalogs can read Apache Hudi tables
https://hudi.apache.org/powered-by
Adopters
Apache Hudi is a fast growing diverse community of people and organizations from all around the globe
https://hudi.apache.org/blog/2026/07/14/what-is-an-open-table-format
Because the specification is open, any query engine — Apache Spark, Apache Flink, Trino, and many others — can read and write the same table without going through a proprietary system
https://hudi.apache.org/learn/tech-specs-0-point-x
Broadly, there can be two types of data files
Base files - Files that contain a set of records in columnar file formats like Apache Parquet/Orc or indexed formats like HFile format
https://hudi.apache.org/blog/2026/07/23/lakehouse-vs-data-warehouse-vs-data-lake
A data lakehouse is the data lake upgraded with database capabilities — ACID transactions, upserts and deletes, indexing, schema enforcement — so that one copy of data on open storage can serve BI, machine learning, and streaming workloads alike
https://hudi.apache.org/docs/quick-start-guide
13
spark-shell --master "local[2]" \
--packages org
https://hudi.apache.org/blog/2020/08/18/hudi-incremental-processing-on-data-lakes
More information about Apache Hudi's framework functions, features, usage scenarios, and latest developments can be found at QCon Global Software Development Conference (Shanghai Station) 2020
https://hudi.apache.org/learn/tech-specs
The notion of time can be logical or physical timestamps, but it's required that each timestamp generated by a process is monotonically increasing with respect to the previous time generated by the same or another process