Convert Arrow to JSON

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.

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate.

Originally created for JavaScript, JSON quickly has become the dominant format for web data exchange due to its simplicity and versatility. It's now widely used across various programming languages and platforms.

Primarily used in web applications, JSON efficiently represents structured data from simple key-value pairs to complex nested objects and arrays, making it ideal for client-server communication.

Schema

JSON's flexible structure, while advantageous, can pose challenges for data integrity and processing, especially with large or complex datasets.

Konbert automatically detects the schema of your JSON data. By scanning your JSON file to identify its structure, we ensure all data is accurately captured and maintained throughout the conversion process, preserving the integrity of your information.

Character encoding

As stated by the RFC 8259, we expect strings in uploaded JSON files to be encoded in UTF-8.

If your file contains non UTF-8 characters, you might get an error when parsing your data.

Nested data

We support reading and flattening nested objects and arrays in case you want to convert it to flat data like CSV or Excel.