Convert ODS to Arrow

Add your ODS data and convert it to Arrow effortlessly. Upload a file or paste a link. Convert up to 5MB for free. No sign up required.

Options
Step 1: Add Your ODS Data
You can upload files from your computer, a URL, or paste the data if the format is plain text.
Step 2: Configure Options
Depending on the conversion, you might need to adjust the options to get the best results.
Step 3: Convert and Download
Click "Convert" and watch our magic happen. You can then review and download the Arrow data.
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ODS

OpenDocument Spreadsheet (ODS) is an open standard file format for spreadsheets. It's part of the OpenDocument Format (ODF) family, developed by the Organization for the Advancement of Structured Information Standards (OASIS). Many office suites support it, including LibreOffice and Apache OpenOffice.

ODS files can have multiple sheets, and each sheet can contain multiple rows and columns of data. The format supports a wide range of features including formulas, styles, charts, and macros.

One of the main advantages of ODS is its open nature, which ensures long-term accessibility and interoperability. It uses a compressed XML format, making it both efficient in storage and easy to process programmatically.

Arrow

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.

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