Convert Avro to JSON

Upload your Avro file to convert to JSON - paste a link or drag and drop. Free for files up to 5MB, no account needed.

Need to work offline? Try Konbert Desktop for Windows, macOS or Linux.

Try it now
Avro

Avro is a row-based data serialization system developed within Apache's Hadoop project. It provides rich data structures and a compact, fast binary data format.

Technical Details

Avro uses JSON for defining data schemas, which are stored with the data. This enables schema evolution while maintaining compatibility. The data itself is stored in a compact binary format.

Advantages

  • Compact binary serialization
  • Schema definition included with the data
  • Support for schema evolution
  • Dynamic typing and code generation

Limitations

  • Not human-readable without special tools
  • Less widely supported than formats like JSON or CSV
  • More complex to implement than simpler formats
  • Less efficient for columnar queries than Parquet
JSON

JSON (JavaScript Object Notation) is a lightweight data format that uses human-readable text to store and transmit data objects. It's widely used for data exchange between web applications and servers, API responses, configuration files, and data storage.

Technical Details

JSON represents data with key-value pairs in a nested structure. It supports strings, numbers, booleans, arrays, objects, and null values, making it flexible for various data types. JSON is language-independent but derived from JavaScript syntax, making it particularly popular in web development. JSON files use the .json extension and have a MIME type of application/json.

Advantages

  • Supports complex, nested data structures
  • Native support in JavaScript and most modern programming languages
  • Self-describing and human-readable
  • Compact compared to XML and other structured formats
  • Language-independent and widely adopted as a standard
  • Perfect for API responses and data transfer
  • No special parsing tools needed - standard in most programming languages

Limitations

  • Not ideal for tabular data analysis
  • No support for comments or metadata
  • Can be verbose for large datasets
  • No schema validation built into the format itself
  • Nested structures can be difficult to analyze in spreadsheet tools
  • Converting to tabular formats requires flattening of nested objects

Common Use Cases

API Integration

Convert Avro data from big data systems into JSON for use in web APIs and services.

Data Inspection

Transform Avro files into readable JSON for debugging, validation, or manual inspection.

Web Application Development

Convert Avro data to JSON for direct consumption by JavaScript-based web applications.

Common Questions

Convert Avro to Other Formats