Framework
Python library for reading and writing Apache Iceberg tables without a JVM query engine.
RustFS embeds an Apache-2.0 Iceberg REST catalog in its object store and serves it on the S3 port, according to a dev.to walkthrough. Teams can drop a separate metastore, but catalog metadata then shares a failure domain with the data.
Reality
Cloudflare made its Data Platform generally available as Basin, three serverless services that ingest, catalog and query Apache Iceberg tables on R2. Outside Iceberg engines read the same tables, so Workers teams can price Basin SQL against a warehouse on identical data.
Perspective Coverage
3 publishersReality
Rust's Iceberg REST client ran up to 4.29x faster than pyiceberg on a local catalog, with 85% to 90% of the gap in Python's HTTP library. pyiceberg covers 21 of 25 tested endpoints to Rust's 13, so coverage settles the choice before speed does.
Reality
A read-only MCP server with four Iceberg tools ran against six live catalogs off a single environment variable. Three of the tools worked on pyiceberg alone, and the fourth needed a storage package for the object store.
Reality
A step-by-step build of the same Apache Iceberg data agent on Google ADK, AWS Strands and Microsoft Agent Framework measures what a cloud move costs in code, in latency and in storage wiring.
Reality