One post tagged with "hive"

Apache Hive and Apache Iceberg represent two different generations of the data lake ecosystem. Hive was born in the Hadoop era as a SQL abstraction over HDFS, excelling in batch ETL workloads and still valuable for organizations with large Hadoop/ORC footprints. Iceberg, by contrast, emerged in the cloud-native era as an open table format designed for multi-engine interoperability, schema evolution, and features like time travel. If you are running a legacy Hadoop stack with minimal need for engine diversity, Hive remains a practical choice. If you want a flexible, future-proof data lakehouse that supports diverse engines, reliable transactions, and governance at scale, Iceberg is the more strategic investment.

Akshay Kumar Sharma

Sep 15, 2025