Drop Parquet here
Local processing only
What is a Parquet file viewer?
Apache Parquet is a columnar storage format widely used in big data ecosystems like Apache Spark, AWS Glue, and Databricks. This free online Parquet viewer lets you open, inspect, and query Parquet files directly in your browser — no Spark cluster, no Python environment, and no data ever leaves your machine.
Frequently Asked Questions
- What is a Parquet file?
- Apache Parquet is an open-source columnar storage format optimised for analytics workloads. It stores data column-by-column rather than row-by-row, enabling fast queries and high compression ratios — ideal for big data pipelines built on Spark, Glue, or Databricks.
- How can I open a Parquet file without Spark or Python?
- This tool reads Parquet files directly in your browser using WebAssembly. Just drag and drop your .parquet file — no Spark cluster, no Python environment, and no cloud services required.
- Is my Parquet data safe?
- Yes. Your file is processed entirely in your browser. No data is ever sent to any server. This is a fully local-first tool.
- What is the maximum file size supported?
- File size is limited by your browser's available memory. Files up to several hundred MB typically work well on modern hardware.
- How do I check the schema and column types of a Parquet file?
- Switch to the Schema tab after loading a file to see every column name, its inferred data type, and null counts at a glance — no need to write code to inspect the metadata.
- Can I export Parquet data to another format, like JSON?
- Yes — use the Export JSON button to download the loaded (or queried) rows as a JSON file. You can also run SQL directly against the file with the built-in query panel before exporting.