One Iceberg Data Agent Built Three Ways: Google ADK, AWS Strands, and Azure Compared

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A developer built the same Apache Iceberg data agent three times — using Google ADK, AWS Strands, and Microsoft Agent Framework — and tested each version against multiple Iceberg catalogs on September 15, 2026. All three agents shared identical tools and instructions, with differences limited to cloud-specific configuration for storage wiring across GCS, S3, and ADLS. Speed varied significantly: the three frameworks ranged from 3.33 to 12.36 seconds at the median, with GPT-5-mini being slowest due to higher token output. Despite performance gaps, all three agents returned consistent, accurate answers — correctly identifying table versions and filtered row counts across all test runs. The experiment found that porting the agent's code between clouds is straightforward, but configuring each cloud's catalog and storage layer requires separate, careful setup.

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