ORC to Parquet Online — Convert ORC Files for Faster Analytics
By ParquetReader Team
ORC and Parquet in practice
Both ORC and Parquet are columnar formats. The best choice depends on your downstream platform and query stack.
If your warehouse and tools are standardized on Parquet, converting ORC can simplify operations.
Check schema consistency first
Validate null rates, numeric columns, and categorical fields before conversion.
This prevents subtle type mismatches after export.
Useful SQL checks
Run sanity checks: SELECT COUNT(*) FROM dataset; and SELECT status, COUNT(*) FROM dataset GROUP BY status;.
For critical totals: SELECT SUM(amount) FROM dataset;.
Migration workflow
Start with one representative ORC file, compare row counts and aggregates, then scale conversion to the full batch.
Store both formats briefly during validation, then standardize on one source format.
Related guides
ORC to CSV for quick compatibility exports.
Avro to Parquet for similar migration workflows.
Need to open data files quickly? Use the Parquet Viewer Online tool to upload, inspect, and export in one workflow.