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Big Data Technology & Architecture
Big Data Technology & Architecture
Jul 1, 2025 · Big Data

What’s New in Apache Hive 4.0? Key Features and Industry Outlook

After a weekend dive into Apache Hive’s official Wiki and GitHub, this article highlights Hive’s declining visibility compared to Spark and Flink, examines its 4.0 release’s major features—including Iceberg integration, enhanced ACID, cost‑based optimizer upgrades, and Ozone support—while reflecting on its role in modern data ecosystems.

Apache HiveBig DataData Warehouse
0 likes · 4 min read
What’s New in Apache Hive 4.0? Key Features and Industry Outlook
StarRocks
StarRocks
Oct 16, 2024 · Big Data

How to Build a High‑Performance Lakehouse with StarRocks and Apache Hive

This guide walks through the core concepts of Apache Hive, its architecture and key features, then shows how to integrate Hive with StarRocks via the Hive Catalog, construct ODS/DWD/DWS/ADS tables, enable DataCache, use materialized views, and handle automatic partition detection for fast lakehouse analytics.

Apache HiveBig DataDataCache
0 likes · 17 min read
How to Build a High‑Performance Lakehouse with StarRocks and Apache Hive
Architects Research Society
Architects Research Society
Jul 27, 2018 · Big Data

Overview of Apache Hive Features, Usage, and Management

Apache Hive is an open‑source data‑warehouse system built on Hadoop that enables users to read, write, and manage large distributed datasets using SQL‑like queries, offering features such as ETL support, various file‑format connectors, extensible UDFs, and integration with tools like Tez, Spark, and MapReduce.

Apache HiveBig DataData Warehouse
0 likes · 5 min read
Overview of Apache Hive Features, Usage, and Management