# Parquet Viewer

Free online Parquet viewer. Open and preview columnar data files (.parquet, .avro) directly in your browser — no upload, no software.

> Página canónica: https://elysiatools.com/es/viewers/parquet

- **Categoría:** Diagramas

- **Formatos compatibles:** .parquet, .avro

## Descripción general

This Parquet viewer renders columnar data files directly in your browser. Parquet (.parquet) is the standard columnar storage format for big data analytics, used by Apache Spark, Hadoop and data lakes. Avro (.avro) is a row-based data serialization format. Pick a sample file or choose your own to inspect its data instantly, with no upload.

## Cuándo usarlo

- You received a .parquet or .avro file and want to inspect its data.
- You need a quick, private preview of big data exports.
- You want to check the schema and content of columnar files.

## Cómo funciona

- Select a built-in sample file or choose your own .parquet / .avro file.
- The viewer parses the data format in your browser — nothing is uploaded.
- Browse the data records and inspect the schema.

## Casos de uso

- Inspecting data lake exports.
- Checking Parquet from Spark and Hadoop.
- Previewing Avro data from streaming pipelines.

## Ejemplos

- **Parquet de Usuarios Simple**: Small flat dataset with id/name/active fields
- **Parquet de Pedidos Intermedio**: Order records with timestamp, currency, and numeric metrics
- **Parquet de Eventos Complejo**: Analytics-style event data with richer columns and JSON payload field
- **Datos Parquet de ejemplo**: A Parquet sample for in-browser preview

## Preguntas frecuentes

### What is a Parquet file?

Parquet (.parquet) is a columnar storage format developed by Apache (Cloudera/Twitter, 2013). It stores data in columns rather than rows, enabling efficient compression and fast analytical queries on large datasets. Parquet is the standard format for big data analytics in Apache Spark, Hadoop, Hive and cloud data lakes.

### What is an Avro file?

Avro (.avro) is a row-based data serialization format developed by Apache (Doug Cutting, 2009). It stores data with a JSON-based schema embedded in the file, enabling schema evolution and compact binary storage. Avro is widely used in Kafka, Hadoop and streaming data pipelines.

### Are my Parquet/Avro files uploaded?

No. Data files you open from your device stay on your device and are parsed locally. Only the public sample file is requested from the server.

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