Rust Iceberg Client Outpaces Python by Up to 4x in REST Catalog Benchmark

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A developer benchmarked two Apache Iceberg REST catalog clients — the Rust client (iceberg-catalog-rest 0.10.1) and the Python client (pyiceberg 0.12.0) — across identical operations on the same tables. Tests were run against a local Apache Polaris instance in Docker, as well as Google BigLake and Microsoft OneLake over the internet. On four lightweight read operations, the Rust client was 1.90x to 4.29x faster than pyiceberg, while the gap narrowed to 1.14x–1.38x on heavier table-level calls where the server does more processing. However, the Rust client supports only 13 of 25 tested catalog endpoints, compared to 21 for pyiceberg, making feature coverage a key consideration alongside speed. The benchmark focused solely on performance and did not validate the correctness of responses from either client.

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Rust vs Python Apache Iceberg Clients: Rust Up to 4x Faster on Small Calls

A developer benchmarked two Apache Iceberg REST catalog clients — the Rust client (iceberg-catalog-rest 0.10.1) and the Python client (pyiceberg 0.12.0) — across six shared read operations on local and cloud catalogs. The Rust client was 1.90x to 4.29x faster on lightweight namespace operations, while the gap narrowed to 1.14x–1.38x on heavier table-level calls where server processing dominates. Testing was conducted against Apache Polaris running locally in Docker, as well as Google BigLake and Microsoft OneLake over the internet. The benchmark measured speed only and did not validate correctness; notably, the Python client supports 21 of 25 tested catalog endpoints versus just 13 for the Rust client. The author cautions that a faster client lacking required operations is still the wrong choice, and that timing results varied significantly between runs.

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