How it works
Add your Feather file. MimiFile checks the format, converts it to Apache Parquet, and provides a temporary download when the result is ready.
Convert Feather to Parquet when you need a columnar file geared toward compressed analytical storage, data lakes, query engines or long-lived datasets.
FEATHER → PARQUET
Drag and drop, paste a file, or browse your device.
Files are temporary and deleted automatically.
Limits: 50 MB per file · 128 MB total per batch.
Add your Feather file. MimiFile checks the format, converts it to Apache Parquet, and provides a temporary download when the result is ready.
Feather and Parquet are both column-oriented formats, but they target different workflows. Parquet emphasizes compact analytical storage; verify the resulting schema and column types before production use.
Current source limit : 50 MB per file. Up to 10 files can be submitted in a batch, subject to the global batch ceiling.
Parquet is widely used for analytical storage and query workflows because typed columns can be encoded and compressed efficiently. It is a practical destination for datasets moving into analytics pipelines.
Feather v2 uses the Arrow IPC file format, while Parquet has its own columnar storage representation. Conversion therefore changes the physical file format even when many logical column types map cleanly.
Check nullability, timestamps, nested fields, binary columns and any application-specific type assumptions before replacing the Feather source in a production workflow.
When a tabular destination cannot represent lists or objects directly, nested values are serialized as JSON text where supported instead of being silently discarded.
Nulls and timestamps are preserved when the destination supports them. Binary values can be represented as Base64 text in text-based or spreadsheet outputs.
Check column types, null values, timestamps and nested fields before using the converted file in a production data pipeline.