Advanced Online Parquet Viewer - Explore Apache Parquet Files with Ease
Professional online Parquet viewer tool for developers and data analysts. Explore Apache Parquet files, visualize columnar data structures, view metadata, and extract information without local installation. Fast, secure, and completely free.
Parquet File Viewing Features
- •Upload and instantly view Apache Parquet file structure and contents
- •Display columnar data with proper type inference and formatting
- •View Parquet metadata including schema, compression, and encoding information
- •Interactive table view showing records in a scrollable grid format
- •Real-time preview of file contents with automatic data type detection
- •Support for large Parquet files with efficient memory management
- •Hierarchical schema visualization with nested column support
- •Data type annotations showing compression algorithms and encoding methods
Advanced Analysis Capabilities
- •Statistical analysis of column data including min, max, and null value counts
- •Row group exploration with detailed metadata and partition information
- •Column statistics visualization with distribution analysis and histograms
- •Data filtering options to focus on specific records or columns
- •Search functionality to locate values within Parquet datasets
- •Sort and pagination controls for efficient data exploration
- •Memory footprint analysis showing storage and compression efficiency
- •Performance insights including read speed and data density metrics
Data Extraction & Export
- •Export selected records to JSON format for API integration
- •Convert Parquet data to CSV for Excel and spreadsheet analysis
- •Export to Arrow JSON format for Apache Arrow ecosystem compatibility
- •Batch export capabilities for processing multiple columns or row groups
- •Download filtered datasets based on custom selection criteria
- •Generate data snapshots for sharing and documentation purposes
- •API-compatible export formats for programmatic data access
- •Clipboard copy functionality for quick data integration workflows
Enterprise Data Features
- •Support for complex Parquet schemas including nested types and lists
- •Handling of multiple row groups and partition directories
- •Compression format support: Snappy, GZIP, ZSTD, LZO, and uncompressed
- •Encoding detection: Plain, RLE, Bit-packing, and dictionary encoding
- •Multi-file batch viewing for comparing Parquet datasets
- •Metadata extraction for data governance and cataloging workflows
- •Performance benchmarking and optimization recommendations
- •Integration support for data pipelines and ETL workflows
How to View and Analyze Parquet Files Online
- Step 1: Upload your Parquet file (.parquet or .parq) using the drag-and-drop interface or file selector
- Step 2: Review the file structure including schema hierarchy, column names, and data types
- Step 3: Examine metadata information showing compression, encoding, and row group details
- Step 4: Use the table view to browse records with scrollable columns and sortable headers
- Step 5: Apply filters to focus on specific data ranges or value criteria
- Step 6: Utilize the search functionality to locate specific values within the dataset
- Step 7: Export selected data to your preferred format (JSON, CSV, or Arrow JSON)
- Step 8: Download the extracted data for integration into your data analysis workflows
Feature Comparison
| Feature | Online JSON Formatt | Other Tools |
|---|---|---|
| Large file support | Efficient handling with streaming | Size limitations or slow loading |
| Schema visualization | Complete hierarchical display | Basic or text-only schema |
| Compression support | Multiple compression formats | Limited compression types |
| Export options | JSON, CSV, Arrow JSON support | Limited export formats |
| Statistical analysis | Comprehensive column statistics | No analysis features |
| Metadata display | Complete metadata visibility | Partial or no metadata |
| Data filtering | Advanced filter options | No filtering capability |
| Performance insights | Detailed optimization metrics | No performance data |
| Nested type support | Full nested structure handling | Flat structures only |
| Privacy & security | Local browser processing | Server-side upload required |