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Vendors

https://hudi.apache.org/vendors
Google Cloud​ Google Cloud Dataproc includes Apache Hudi, Hudi tables can be stored on Google Cloud Storage, and BigQuery integrates with Hudi tables through the BigQuery integration

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
The Data Warehouse: Fast, Governed, and Proprietary​ Data warehouses have been the workhorse of analytics for decades, from on-premise appliances like Teradata to cloud-native services like Snowflake, Google BigQuery, and Amazon Redshift

Adopters

https://hudi.apache.org/powered-by
Alibaba Cloud​ Alibaba Cloud provides cloud computing services to online businesses and Alibaba's own e-commerce ecosystem, Apache Hudi is integrated into Alibaba Cloud Data Lake Analytics offering real-time analysis on hudi dataset

What is CDC on a Data Lake?

https://hudi.apache.org/blog/2026/07/22/what-is-cdc-on-a-data-lake
Economically, cloud object storage (Amazon S3, Google Cloud Storage, Azure Blob Storage) is the cheapest place to keep large volumes of data, and it scales without capacity planning

Apache Hudi - The Data Lake Platform

https://hudi.apache.org/blog/2021/07/21/streaming-data-lake-platform
Many organizations have already reaped real benefits of adopting a streaming model for their data lakes, in terms of fresh data, simplified architecture and great cost reductions

The Apache Software Foundation Board of Directors Meeting Minutes June

https://apache.org/foundation/records/minutes/2013/board_minutes_2013_06_19.txt
Minutes from previous meetings Published minutes can be found at: http://www

Database Plus

https://shardingsphere.apache.org
Cloud Native Seamlessly integrate with cloud infrastructure and services thanks to ShardingSphere, and effortlessly harness the power of cloud computing to achieve optimal performance, elasticity, and resilience in your data management strategy

Syntax

https://hudi.apache.org/learn/tech-specs
Hudi brings database capabilities (tables, transactions, mutability, indexes, storage layouts) along with an incremental stream processing model (incremental merges, change streams, out-of-order data) over very large collections of files/objects, turning immutable cloud/file storage systems into transactional data