Convert table to Arrow
Upload your table file to convert to Arrow - paste a link or drag and drop. Free for files up to 5MB, no account needed.
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Extract data from images, PDFs or websites with AI. Clean messy data, chat with your table, build charts and more. All inside a table.
Try for freeApache 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.
Common Questions
What Are People Saying About Us
Jenn Junod
@JennJunod
Just used konbert.com to convert some data. Pretty dope to use while figuring out #JSON to #postgresql Check it out! #sql thanks
April 19, 2023
Ravdeep Chawla
@ravdeepchawla
Shoutout for amazing tool building 💪 @moboudra, your konbert.com tool saved me ~4 hrs of work and I'd happily have paid you
July 28, 2021
Pau Pérez
@prez_pau
Finally a CSV to SQL and JSON converter that is usable konbert.com Great work in @sqlify @moboudra!
July 6, 2017
José Manuel Carranza
@jmcarran
love this tool konbert.com via @sqlify
January 1, 2018
John Meyerhofer
@JRMeyerhofer
@sqlify keep up the good work! Love the website! #csv #sql #json #convert
July 18, 2018
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