Mixing Spark, DuckDB, and Snowflake? Iceberg decouples data, Ibis decouples logic, run your analytics anywhere, without rewrites or vendor lock-in.

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Modern data teams often use multiple engines like Spark, DuckDB, and Snowflake, but struggle with data portability and code reusability across platforms. Apache Iceberg solves the storage problem by enabling safe data sharing between engines through ACID transactions and multi-engine coordination. Tools like Ibis complement this by providing engine-agnostic analytical code that runs on any supported backend without modification. Together, these technologies create truly portable data stacks where both data and business logic are decoupled from specific compute engines, reducing vendor lock-in and integration overhead.

Building Engine-Agnostic Data Stacks

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