Zstd

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Linked via sameAs to 2 other subjects: Zstd, ZstdReview & merge →

Zstd is highCompressionRatios.

47 facts·30 predicates·5 sources·8 in dispute

Mostly:has characteristic(5), rdf:type(4), known for(2)

Known forin dispute`knownFor`

highCompressionRatios^[1]sourceall time · E6a1976a E0c8 46ba 89db D4507cd86518
fastDecompressionSpeeds^[1]sourceall time · E6a1976a E0c8 46ba 89db D4507cd86518

Inbound mentions (8)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`comparedTo`Compared to(2)

Gzipex:gzip
Snappyex:snappy

`achievesLessCompressionRatioThan`Achieves Less Compression Ratio Than(1)

Snappyex:snappy

`compares`Compares(1)

Document Purposeex:documentPurpose

`hasVariant`Has Variant(1)

Compression Algorithmex:compressionAlgorithm

`includes`Includes(1)

Data Compression Techniquesex:data-compression-techniques

`recommended`Recommended(1)

Assistantex:assistant

`supportsSameDataTypesAs`Supports Same Data Types As(1)

Gzipex:gzip

Other facts (41)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

41 facts

Predicate	Value	Ref
Has Characteristic	Fast Compression	[2]
Has Characteristic	Fast Decompression	[2]
Has Characteristic	High Speed	[4]
Has Characteristic	Configurable Levels	[4]
Has Characteristic	Good Compression Ratio	[4]
Rdf:type	Compression Algorithm	[1]
Rdf:type	Compression Technique	[2]
Rdf:type	Python Library	[3]
Rdf:type	Compression Algorithm	[4]
Alias	Zstd	[1]
Alias	Zstd	[2]
Characteristic	highCompressionRatios	[1]
Characteristic	fastDecompressionSpeeds	[1]
Applies to	Plaintext	[1]
Applies to	Encrypted Data	[1]
Import Statement	import zstandard as zstd	[3]
Import Statement	import zstandard as zstd	[5]
Function Name	compress_data_zstd	[5]
Function Name	decompress_data_zstd	[5]
Provides	balanceBetweenCompressionRatioAndSpeed	[1]
Temporal Classification	modern	[1]
Trade Off Characteristic	balanceBetweenCompressionRatioAndSpeed	[1]
Compared to	Gzip	[1]
Supports Same Data Types As	Gzip	[1]
Suitable for	Real Time Applications	[2]
Language	Python	[3]
Mentioned But Not Used	true	[3]
Is Classified As	Modern Algorithm	[4]
Provides Balance Between	Speed and Compression Ratio	[4]
Allows User to Choose	Compression Levels	[4]
Has Decompression Speed	Particularly Quick	[4]
Can Be Adjusted for	Real Time Applications	[4]
Provides Better Compression Ratio Than	Snappy	[4]
Is Beneficial for	Reducing Data Size	[4]
Has Configurability	High	[4]
Enables Trade Off Between	Speed and Compression Ratio	[4]
Has Python Example	Zstandard Example	[5]
Use Case	Real Time Processing	[5]
Requires Installation	true	[5]
Programming Paradigm	Class Based Approach	[5]
Suitable for	Real Time Processing	[5]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

47 undated

—

typebeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

ex:CompressionAlgorithm

—

labelbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

Zstandard

—

aliasbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

Zstd

—

characteristicbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

highCompressionRatios

—

characteristicbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

fastDecompressionSpeeds

—

appliesTobeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

ex:plaintext

—

appliesTobeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

ex:encryptedData

—

providesbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

balanceBetweenCompressionRatioAndSpeed

—

temporalClassificationbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

modern

—

knownForbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

highCompressionRatios

—

knownForbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

fastDecompressionSpeeds

—

tradeOffCharacteristicbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

balanceBetweenCompressionRatioAndSpeed

—

comparedTobeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

ex:gzip

—

supportsSameDataTypesAsbeam/e6a1976a-e0c8-46ba-89db-d4507cd86518

ex:gzip

—

typebeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6

ex:CompressionTechnique

—

suitable-forbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6

ex:real-time-applications

—

aliasbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6

ex:zstd

—

hasCharacteristicbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6

ex:fast-compression

—

hasCharacteristicbeam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6

ex:fast-decompression

—

typebeam/3822ae61-758a-4752-8012-db5105713c81

ex:PythonLibrary

—

labelbeam/3822ae61-758a-4752-8012-db5105713c81

zstandard

—

languagebeam/3822ae61-758a-4752-8012-db5105713c81

ex:python

—

importStatementbeam/3822ae61-758a-4752-8012-db5105713c81

import zstandard as zstd

—

mentionedButNotUsedbeam/3822ae61-758a-4752-8012-db5105713c81

true

—

typebeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:CompressionAlgorithm

—

labelbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

Zstandard

—

labelbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

Zstd

—

isClassifiedAsbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:modern-algorithm

—

hasCharacteristicbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:high-speed

—

hasCharacteristicbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:configurable-levels

—

hasCharacteristicbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:good-compression-ratio

—

providesBalanceBetweenbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:speed-and-compression-ratio

—

allowsUserToChoosebeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:compression-levels

—

hasDecompressionSpeedbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:particularly-quick

—

canBeAdjustedForbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:real-time-applications

—

providesBetterCompressionRatioThanbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:snappy

—

isBeneficialForbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:reducing-data-size

—

hasConfigurabilitybeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:high

—

enablesTradeOffBetweenbeam/8a976d7f-3a82-4274-a162-d97c7b7d967d

ex:speed-and-compression-ratio

—

hasPythonExamplebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

ex:zstandard-example

—

importStatementbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

import zstandard as zstd

—

functionNamebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

compress_data_zstd

—

functionNamebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

decompress_data_zstd

—

useCasebeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

ex:real-time-processing

—

requiresInstallationbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

true

—

programmingParadigmbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

ex:class-based-approach

—

suitableForbeam/9b38b599-daec-41e8-b466-0b7f85b88ffe

ex:real-time-processing

References (5)

5 references

[1]E6a1976a E0c8 46ba 89db D4507cd8651814 facts
ctx:claims/beam/e6a1976a-e0c8-46ba-89db-d4507cd86518
- full textbeam-chunk
  text/plain1 KBdoc:beam/e6a1976a-e0c8-46ba-89db-d4507cd86518
  Show excerpt
  - **Usage**: Gzip can be applied to both plaintext and encrypted data. When applied to encrypted data, it can still reduce the size of the data, although the compression ratio might be lower compared to plaintext data. ```python import gzi…
[2]D8387a8d D360 43bd Be0f 0cca68fc0bf65 facts
ctx:claims/beam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
- full textbeam-chunk
  text/plain1 KBdoc:beam/d8387a8d-d360-43bd-be0f-0cca68fc0bf6
  Show excerpt
  Using efficient data compression techniques like Gzip, Zstandard, and Snappy can significantly improve the performance of your model fine-tuning process, even when dealing with encrypted data. By compressing data before encryption, you can …
[3]3822ae61 758a 4752 8012 Db5105713c815 facts
ctx:claims/beam/3822ae61-758a-4752-8012-db5105713c81
[4]8a976d7f 3a82 4274 A162 D97c7b7d967d15 facts
ctx:claims/beam/8a976d7f-3a82-4274-a162-d97c7b7d967d
[5]9b38b599 Daec 41e8 B466 0b7f85b88ffe8 facts
ctx:claims/beam/9b38b599-daec-41e8-b466-0b7f85b88ffe
- full textbeam-chunk
  text/plain1 KBdoc:beam/9b38b599-daec-41e8-b466-0b7f85b88ffe
  Show excerpt
  - **Slightly Higher Overhead**: While still efficient, Zstd may have slightly higher CPU and memory overhead compared to Snappy. ### Example Usage Here are examples of how to use Snappy and Zstandard in Python for real-time processing: #…

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Known for	highCompressionRatios^[1]
Known for	fastDecompressionSpeeds^[1]

Zstd

Known forin disputeknownFor

Inbound mentions (8)

comparedToCompared to(2)

achievesLessCompressionRatioThanAchieves Less Compression Ratio Than(1)

comparesCompares(1)

hasVariantHas Variant(1)

includesIncludes(1)

recommendedRecommended(1)

supportsSameDataTypesAsSupports Same Data Types As(1)

Other facts (41)

Timeline

References (5)

See also

Keep researching

Known forin dispute`knownFor`

`comparedTo`Compared to(2)

`achievesLessCompressionRatioThan`Achieves Less Compression Ratio Than(1)

`compares`Compares(1)

`hasVariant`Has Variant(1)

`includes`Includes(1)

`recommended`Recommended(1)

`supportsSameDataTypesAs`Supports Same Data Types As(1)