Arrow Ipc Integration For Zero Copy Data Exchange

via “arrow ipc integration for zero-copy data exchange”

In-process SQL analytics engine for local data processing.

Unique: Uses Arrow RecordBatch as the native internal representation, enabling zero-copy data exchange with any Arrow-compatible system without serialization or format conversion overhead.

vs others: More efficient than Pandas/Polars interop via CSV because it avoids text serialization; more flexible than Spark because it supports direct Arrow exchange with multiple languages.

via “ipc (inter-process communication) format for efficient data serialization”

Cross-language columnar memory format for zero-copy data.

Unique: Preserves Arrow's columnar memory layout in serialized form, enabling memory-mapped access and zero-copy deserialization, rather than row-wise serialization like Protocol Buffers or MessagePack

vs others: Faster serialization/deserialization than Parquet because no compression overhead; enables memory-mapping unlike Parquet; more efficient than JSON/CSV for structured data