Choose Data Format by Workload

Choosing a Format for Google Cloud Storage and Analytics means comparing structure, schema handling, and best-fit workload before loading. Data typically lands first in Cloud Storage as files, then moves into a table system for querying. Plan the destination, region, access policy, and whether transfer is one-time or ongoing before loading, so the format and storage choice match both performance and governance needs.

Format	Structure	Schema and readability	Choose when
CSV	Row-based text	No embedded types, human-readable	The data is flat and simple and needs broad compatibility
JSON	Text with nesting	Flexible schema, human-readable	The data is nested or semi-structured from APIs and events
Apache Parquet	Columnar binary	Embedded schema, compressed	The workload is large-scale analytics that scans selected columns
Apache Avro	Row-based binary	Embedded schema with evolution	The workload is streaming or row-based with changing schema
Structured tables	Relational rows and columns	Strict enforced schema	The workload needs typed SQL storage in Cloud SQL or BigQuery