Extract text from columnar data files (ORC)
To convert ORC data files to another format, you need Apache Hive or other Data software.
To convert other file formats to the "Columnar Data Format" file type, you need software like Apache Hive or a similar tool.
The .orc file extension primarily stands for Optimized Row Columnar. It is a specialized columnar data storage format used heavily within the Apache Hadoop ecosystem to store and process large datasets efficiently. Software like Apache Hive and Apache Spark rely on this format to run high-speed queries on massive data warehouses. A much smaller percentage of .orc files are legacy MIDI music sequences created by obsolete software like Cakewalk Pro Audio or Voyetra Digital Orchestrator.
Working with .orc files outside of a big data environment is exceptionally difficult. The format is heavily compressed and binary-encoded, meaning you cannot open an .orc file in a standard text editor or a spreadsheet application. It is completely unreadable without specialized libraries. Furthermore, reading these files locally usually requires setting up complex Java or Python data pipelines, which is highly frustrating for users who just need to inspect a few rows of data.
Because of these severe restrictions, users often need to convert .orc files into accessible formats. The best conversion targets are CSV or JSON for broad compatibility and human readability. For engineers migrating between big data systems, converting .orc to .PARQUET or AVRO is the standard approach, though some specialized indexing metadata may be lost during the translation.
Standard online converters almost always fail to process .orc files because they lack the massive big data libraries needed to parse the complex columnar structure. Just drag and drop your file onto convert.guru to identify the exact format and view its internal structure. If our analysis detects a supported embedded format or manageable data table, viewing or conversion to CSV may still be possible.
Convert.Guru analyzes your ORC file, detects the exact format, and lets you read the text inside.
Users also converted PDF, DOCX, JPG, JPEG, PNG, PUML, CSV, CRDOWNLOAD, TXT, 000000_0 and JSON files.
If you want to convert ORC file to PDF, CSV, JSON, XML, YAML, YML, TOML, INI, CFG, CONF, DAT or DB, you can use Apache Hive or similar software from the "Big Data Columnar Storage" category. In the File menu, look for Save As… or Export….
To convert DBF, XML, SQLITE, XLSX, SQL, TSV, ACCDB, YAML, MDB, CSV, ODS or JSON files to ORC, try Apache Hive or another comparable tool in the "Big Data Columnar Storage" category.
The history of Convert.Guru began over 25 years ago in California with Tom Simondi’s file-format database. A former contributor to Space Shuttle development and a software pioneer of the 1980s, Simondi established a trusted resource for file type analysis that was even referenced by Microsoft Windows XP. Today, we use modern technology to process and convert thousands of file formats while continually improving our ORC converter.