Apache Iceberg is an open-source table format for storing and querying large-scale structured data

Iceberg supports schema evolution, allowing you to easily add, remove, or modify columns in your data.

Iceberg maintains a history of changes made to the data, enabling you to query data as of a specific point in time

Iceberg is designed to handle large-scale data workloads and can efficiently handle petabytes of data

To speed up query execution, apache iceberg supports data pruning techniques, such as column-level statistics and partitioning.

Iceberg seamlessly integrates with popular cloud storage systems, such as Amazon S3 and hdfs.

Iceberg supports multiple programming languages and query engines, like Apache Spark, Presto, and Apache Hive.

Overall, Apache Iceberg offers a powerful and flexible solution for managing and querying large-scale structured data