Convert Arrow to CSV

Apache Arrow is a cross-language platform for in-memory data. It defines a standard columnar memory format for flat and hierarchical data that works across different programming languages. This format is optimized for efficient analytics on modern hardware like CPUs and GPUs.

Arrow can handle complex nested data structures and lets you query and work with specific columns without reading the entire dataset.

Key Features

• Columnar memory format for flat and hierarchical data
• Works with any programming language
• Optimized for analytics and modern hardware
• Supports complex nested data structures
• Enables efficient zero-copy reads

Use Cases

Apache Arrow shines in scenarios like:

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

Its efficient memory layout and standardized format make it a great choice for applications that need fast data processing and compatibility between different tools and languages.

Comma-separated values (CSV) is a simple and popular format for storing tabular data. It's easy to read and create, making it a go-to choice for many.

Row delimiter

The row delimiter separates each row in the CSV data. It's usually a new line character (LF) or a carriage return plus a new line character (CRLF).

We'll automatically detect and parse the rows correctly, so you don't need to worry about it.

Value separator

The value separator splits each value within a row.

For CSV files, it's typically a comma, but it can vary depending on the software used to create the file. We support these separators:

• Comma ,
• Tab \t
• Pipe |
• Hash #
• Semicolon ;

Character encoding

The character encoding of your CSV file might differ based on the software you used to create it.

If you're not sure about the character encoding, don't worry. We'll try to guess it automatically if it's not specified.