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CSV

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**CSV**

What is CSV?

CSV (Comma-Separated Values) is a simple file format used to store tabular data, such as a spreadsheet or database. It stores data in plain text, where each line represents a row, and values in each row are separated by commas. CSV files are widely used for data exchange between different applications and systems due to their simplicity and compatibility.

What other technologies are related to CSV?

CSV Competitor Technologies

TXT
A simple text format, TXT can be seen as a competitor if more structured data is not required. It is commonly used for basic data storage and exchange.
JSON
JSON
JSON is a lightweight data-interchange format. Compared to CSV, it provides a hierarchical structure. It can be a direct competitor if the data complexity exceeds CSV capabilities.
XML
XML
XML is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. It is a competitor when more complex structure than that of CSV is needed.
XLSX
XLSX is a spreadsheet format which can hold more structured data than CSV, including formatting and multiple sheets. Therefore, it competes for use cases where these features are needed.
Parquet
Parquet
Parquet is a columnar storage format optimized for big data processing. It is a competitor when dealing with large tabular datasets where performance is a key factor.
Avro
Avro
Avro is a data serialization system. It provides schema evolution and is often used in big data environments. It is a competitor when a schema-rich, high-performance format is required.
Fixed-Width
Fixed-width files are another way to represent tabular data. This is an alternative to CSV where each column's width is predefined, instead of using delimiters.
Sequence or Map Files
No summary available
These are file formats used in Hadoop for storing data. They offer different functionalities (SequenceFile is sequential, MapFile is indexed) but provide alternative ways to store large datasets.
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