TECHNOLOGY PROFILE · TECH-0011

Apache Parquet

Columnar file format with encoding and compression.

Reference link only — not reviewed this edition. This profile preserves the prepared catalog’s original descriptions. Advantages depend on the workload; comparisons are editorial, not benchmark results.

Where it has an edge

Column projection and predicate-aware reads reduce IO versus scanning row-oriented CSV.

Best-fit problems

Large analytic datasets and reproducible training snapshots.

Tradeoffs & cautions

Frequent small updates and tiny files are poor fits.

What to test before choosing

Run the complete pipeline twice; test idempotency, lineage, point-in-time correctness and recovery from partial failure.

Runtime & hardware

Local or distributed data systems

Access & licensing

Open-source; hosted services may differ

Execution

Local / self-hosted

Lifecycle

Not independently audited

Comparison basis

Editorial problem-fit judgement; no head-to-head benchmark performed

Connected concepts

Alternatives to investigate

Apache Arrow · CSV · Zarr

Original source

Apache Parquet — original reference ↗

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