Convert Arrow to CSV

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.

Comma-separated values (CSV) is a simple and widely used format for storing tabular data. It is human-readable and easy to generate and parse.

Row delimiter

The row delimiter is the character used to separate each row in the CSV data. This is usually a new line character (LF), or a carriage return plus a new line character (CRLF).

We will automatically detect this and parse the rows correctly.

Value separator

The value separator is the character used to separate each value inside a row.

For CSV files, as the name implies it is usually a comma, but it can be different depending on the software used to generate the CSV file, we support the following separators:

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

Character encoding

Depending on what software you used to generate the CSV file, it might have a different character encoding

If no character encoding is specified we will automatically try to guess it, so you don't have to worry about it if you're unsure.