# What are Apache Iceberg tables? Benefits and challenges | Redpanda

DevFeed: [What are Apache Iceberg tables? Benefits and challenges | Redpanda](<https://devfeed.tech/articles/what-are-apache-iceberg-tables-benefits-and-challenges-redpanda-12675.md>)

Original publisher: [Read original article](<https://www.redpanda.com/blog/apache-iceberg-tables-benefits-challenges>)

Author: Redpanda

Published: 2025-05-21T00:00:00Z

Content type: article

Language: en

Sources: [Redpanda](<https://devfeed.tech/sources/redpanda.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [data-processing](<https://devfeed.tech/topics/data-processing.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [Architecture & Design](<https://devfeed.tech/topics/architecture-design.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [Netflix](<https://devfeed.tech/topics/netflix.md>)

Tags: [amazon-redshift](<https://devfeed.tech/tags/amazon-redshift.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [apache-flink](<https://devfeed.tech/tags/apache-flink.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [apache-iceberg-acid-compliance](<https://devfeed.tech/tags/apache-iceberg-acid-compliance.md>), [apache-iceberg-architecture](<https://devfeed.tech/tags/apache-iceberg-architecture.md>), [apache-iceberg-challenges](<https://devfeed.tech/tags/apache-iceberg-challenges.md>), [apache-iceberg-metadata-management](<https://devfeed.tech/tags/apache-iceberg-metadata-management.md>), [apache-iceberg-table-format](<https://devfeed.tech/tags/apache-iceberg-table-format.md>), [apache-iceberg-tables](<https://devfeed.tech/tags/apache-iceberg-tables.md>), [apache-iceberg-vs-data-lakes](<https://devfeed.tech/tags/apache-iceberg-vs-data-lakes.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [benefits-of-apache-iceberg](<https://devfeed.tech/tags/benefits-of-apache-iceberg.md>), [data](<https://devfeed.tech/tags/data.md>), [data-lakes-and-apache-iceberg](<https://devfeed.tech/tags/data-lakes-and-apache-iceberg.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [fundamentals](<https://devfeed.tech/tags/fundamentals.md>), [managing-large-datasets-with-apache-iceberg](<https://devfeed.tech/tags/managing-large-datasets-with-apache-iceberg.md>), [netflix](<https://devfeed.tech/tags/netflix.md>), [object-storage](<https://devfeed.tech/tags/object-storage.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [pipelines](<https://devfeed.tech/tags/pipelines.md>), [real-time-analytics-with-apache-iceberg](<https://devfeed.tech/tags/real-time-analytics-with-apache-iceberg.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [scalability-of-apache-iceberg-tables](<https://devfeed.tech/tags/scalability-of-apache-iceberg-tables.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

## AI overview

This article explains how Apache Iceberg tables add database-like structure to data lakes for large analytic datasets. It covers schemas, partitioning, metadata catalogs, version history, schema changes, data rewrites, queryability, consistency, scalability, and interoperability across batch and streaming pipelines and analytics engines.

## Source excerpt

Apache Iceberg tables introduce a reliable framework for querying large datasets in data lakes. Explore their use cases, benefits, and more.