NetCDF is one of the most widely used formats in meteorology, climate science, environmental monitoring, oceanography, and remote sensing.

Until now, ParquetReader made it easy to preview and query local Parquet, Avro, ORC, and Feather files — no setup, no database.

Until now, ParquetReader let you preview, search, and download Parquet, Avro, ORC, and Feather files with ease.

Power BI is one of the most popular business intelligence tools for turning raw data into dashboards and insights.

AI Agents are no longer just futuristic ideas — they’re here and becoming powerful tools in everyday data workflows.

We’ve launched one-time payments and subscriptions for ParquetReader! You can now unlock full downloads for large files and get access to your own API Key for programmatic usage.

Opening Parquet files shouldn’t require complicated tools or heavy software installs. With ParquetReader, you can view your Parquet files directly in your browser — fast, secure, and free.

If you're working with Parquet, Avro, ORC, or Feather files, you already know the pain: manual uploads, downloading, renaming, and moving files around just to convert formats.

The world is generating more data than ever before. From real-time analytics to AI model training, businesses need efficient ways to store, retrieve, and process massive datasets.

We are excited to introduce DataMaskPro – a powerful and easy-to-use tool designed to help businesses and developers automatically mask sensitive data. Whether you're handling customer records, financial transactions, or healthcare data, DataMaskPro ensures that privacy remains a top priority.

We are excited to announce that ParquetReader now supports ORC files! ORC (Optimized Row Columnar) is a powerful, high-performance format commonly used in big data environments. With this new addition, ParquetReader is more versatile than ever, allowing you to seamlessly handle Parquet, Feather, Avro and now ORC formats with ease.

We’re absolutely thrilled to announce the release of our brand-new interface for ParquetReader! This update is a huge step forward in making your data management and conversion workflows even more streamlined and enjoyable. We’ve worked hard to deliver an interface that’s intuitive, easy to use, and packed with features that help you handle your data more efficiently than ever.

We’re thrilled to announce another exciting update for ParquetReader: we now support Avro files! In addition to Parquet and Feather, our tool is expanding its capabilities to provide even more flexibility and power for your data workflows.

We’re excited to announce a game-changing update for ParquetReader: we now support Feather files! In addition, our team is continuously working to bring you more powerful tools and features to make your data conversion tasks seamless and efficient.

We’re thrilled to share some exciting updates from our team. Not only are we working on a brand-new version of the ParquetReader user interface, but we're also expanding our horizons with more conversion tools!

Data masking, also known as data obfuscation or data anonymization, is a method for protecting sensitive information in non-production environments. It involves concealing original data with modified content (characters or other data), but structurally similar to the original data. This is essential for protecting the data subject's privacy and data security in general.

Parquet is a popular columnar storage format that is widely used for storing big data in the Hadoop ecosystem. It is an efficient way of storing large amounts of data in a column-based format and is optimized for use with big data processing tools like Apache Spark and Apache Hive.

Parquet is a columnar storage format for big data processing. It is widely used in the Apache Hadoop ecosystem, as well as other big data frameworks, and is known for its ability to efficiently store and process large amounts of data.