Interoperability Issues in Lakehouse Architectures
Description
Organizations face challenges in achieving seamless interoperability between different data processing engines within lakehouse architectures.
Level: product
Articles Addressing This Problem (2):
650GB of Data (Delta Lake on S3). Polars vs DuckDB vs Daft vs Spark.
The article discusses the challenges of processing large datasets using single-node frameworks like Polars, DuckDB, and Daft compared to traditional...
tech1
Added: Nov 24, 2025
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Iceberg REST Catalog Now Supported in BigLake Metastore for Open Data Interoperability
Google Cloud has announced the general availability of Iceberg REST Catalog support in BigLake metastore, enhancing open data interoperability across...
product
Added: Nov 20, 2025
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