Apache Arrow vs Apache Iceberg
A side-by-side comparison of two Data Storage Optimisation AI agents — to help you pick the right one.
Apache Arrow
Apache Arrow is an in-memory columnar data format designed for efficient data interchange and analytics. It provides a standardized, language-agnostic way to represent structured data, enabling high-performance communication between systems like Pandas, Hadoop, and Spark.
Apache Iceberg
Apache Iceberg is an open table format designed for large-scale analytics workloads, enabling ACID transactions, schema evolution, and efficient metadata management. It provides cross-engine compatibility, allowing tools like Spark, Trino, and Flink to work concurrently on the same datasets without conflicts.
| Apache Arrow | Apache Iceberg | |
|---|---|---|
| Category | Data Storage Optimisation | Data Storage Optimisation |
| Open source | Yes | Yes |
| Self-hostable | Yes | Yes |
| Skill level | Intermediate | Intermediate |
| Pricing | Open Source | Open Source |
Apache Arrow: what it solves
Eliminates serialization overhead and inefficiencies when transferring data between different tools and frameworks in big data and analytics workflows.
Apache Iceberg: what it solves
It solves the challenge of maintaining data consistency and performance in distributed analytics environments where multiple engines need to access and modify the same datasets.