Convert Arrow to Avro schema

Add your Arrow data and automatically convert it to Avro schema.

Arrow input options
This format does not have any input options.
Avro schema output options
This format does not have any output options.


Apache Arrow is a cross-language development platform for in-memory data that specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs.

Arrow is designed to support complex nested data structures and enables efficient querying and manipulation of specific columns without reading the entire dataset.

Key Features

  • Columnar memory format for flat and hierarchical data
  • Language-agnostic specification
  • Optimized for analytical processing and modern hardware
  • Support for complex nested data structures
  • Efficient zero-copy reads

Use Cases

Apache Arrow is particularly useful in scenarios involving:

  • Big data processing and analytics
  • Machine learning and AI pipelines
  • Data interchange between different systems and languages
  • High-performance computing applications

Its efficient memory layout and standardized format make it an excellent choice for applications requiring fast data processing and interoperability between different tools and languages.

Avro schema

An Avro schema is a JSON document that defines the structure of Avro data.

It specifies the fields, their names, and data types for Avro data, enabling schema evolution and ensuring data consistency.

Convert Arrow