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Home » Products » FastInfoset.NET » Size Comparisons

Fast Infoset Size Comparisons

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To demonstrate the compactness of Fast Infoset we compared the sizes of a large number of documents that were encoded in the text, Fast Infoset, .NET Binary and MTOM formats.

The following comparisons clearly show that Fast Infoset is the most compact of these encodings. If you wish to skip the details, you can go directly to the summary and graphs.

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Text vs Fast Infoset vs .NET Binary   Text vs Fast Infoset vs MTOM   Analysis   Conclusion

Text vs Fast Infoset vs .NET Binary

For our measurements we used 392 documents from 25 publicly available sources on the Web, their sizes ranging from about 100 bytes to more than 1 GB.

The following tables display the size of the XML documents when encoded in the text, Fast Infoset and .NET Binary formats. Smallest collections are listed first, largest last. All sizes are in bytes.

Compactness ratios indicate the relative size of the text document against the size of the corresponding Fast Infoset or .NET Binary document. For example, a 1:0.20 ratio indicates that the size of the document it refers to is a fifth of the size of the text document.

Documents were encoded in the Fast Infoset format using Fast Infoset Converter 2.2.0 and in the .NET Binary format using MSBXML Converter 1.1.0. Since the .NET Binary encoder cannot process Document Type Definitions, some documents had their DTD removed. Documents that could not be processed by .NET, primarily due to the presence of invalid characters, were excluded from these collections. All documents were retrieved in June 2007 and links to their original locations are provided; please note that many of these documents are updated often, so their content and size might have changed since.

 

AndroMDA » Acegi Security Howto
 

Filename Text Fast Infoset ratio .NET Binary ratio
HowToModel.xml 388,693 77,158 1:0.20 267,133 1:0.69

 

Danish Food Composition Databank » Download Food Data
 

Filename Text Fast Infoset ratio .NET Binary ratio
DKFoodComp60_2005-06-03.xml 5,985,398 997,541 1:0.17 4,768,994 1:80

 

UNEP, United Nations Environment Programme » World Conservation Monitoring Centre » CITES Species Checklists 2005, Plants (English common names only)
 

Filename Text Fast Infoset ratio .NET Binary ratio
CITESdata.XML 15,411,683 1,992,014 1:0.13 9,258,991 1:0.60

 

XTide, Harmonic tide clock and tide predictor » Harmonics Files for XTide
 

Filename Text Fast Infoset ratio .NET Binary ratio
offsets.xml 1,845,567 499,817 1:0.27 1,491,376 1:0.81

 

TM-XML, Trade Mark XML Open Standard Initiative » Implementation Examples
 

Filename Text Fast Infoset ratio .NET Binary ratio
TMSearch-TradeMarks-List.xml 6,068 1,389 1:0.23 2,696 1:0.44
TMSearch-Single-TradeMark.xml 7,224 2,874 1:0.40 3,186 1:0.44
  13,292 4,263 1:0.32 5,882 1:0.44

 

EUROPA, European Commission » External Relations » Consolidated list of persons, groups and entities subject to EU financial sanctions
 

Filename Text Fast Infoset ratio .NET Binary ratio
annual.xml 2,705,634 648,962 1:0.24 1,979,000 1:0.73
delta.xml 4,820 1,395 1:0.29 4,067 1:0.84
global.xml 2,951,420 528,330 1:0.18 2,393,021 1:0.81
  5,661,874 1,178,687 1:0.21 4,376,088 1:0.77

 

Evapotranspiration Data in XML
 

Filename Text Fast Infoset ratio .NET Binary ratio
CIMIS-DailyReport-Modesto.txt 84,974 13,685 1:0.16 49,751 1:0.59
CIMIS-FresnoReportDispatch.txt 50,042 6,392 1:0.13 26,572 1:0.53
CIMIS-ReportDispatch.txt 9,990 2,028 1:0.20 5,847 1:0.59
  145,006 22,105 1:0.15 82,170 1:0.57

 

Battleclinic » EVEMon » Resources
 

Filename Text Fast Infoset ratio .NET Binary ratio
eve-implants2.xml 107,619 51,358 1:0.48 87,956 1:0.82
eve-items2.xml 5,887,795 1,457,602 1:0.25 4,574,919 1:0.78
eve-ships2.xml 1,300,768 257,767 1:0.20 824,887 1:0.63
eve-skills2.xml 114,707 75,820 1:0.66 104,788 1:0.91
  7,410,889 1,842,547 1:0.25 5,592,550 1:0.75

 

Faunaflora, Building the Electronic Web of Biodiversity » Information » Taxonomy » Data Downloads
 

Filename Text Fast Infoset ratio .NET Binary ratio
Amphibians.xml 952,667 166,258 1:0.17 611,386 1:0.64
Birds.xml 2,160,221 381,961 1:0.18 1,382,397 1:0.64
Fish.xml 4,789,036 933,150 1:0.19 3,221,836 1:0.67
Mammals.xml 1,137,458 257,941 1:0.23 748,950 1:0.66
Reptiles.xml 623,085 116,443 1:0.19 410,205 1:0.66
  9,662,467 1,855,753 1:0.19 6,374,774 1:0.66

 

University of Freiburg » Department of Computer Science » LoPiX-Mondial Case Study
 

Filename Text Fast Infoset ratio .NET Binary ratio
cia.xml 189,547 51,051 1:0.27 147,102 1:0.78
gs.xml 910,760 391,671 1:0.43 751,679 1:0.83
mondial-3.0.xml 1,863,840 506,113 1:0.27 1,221,065 1:0.66
orgs.xml 484,699 73,228 1:0.15 342,430 1:0.71
terra.xml 294,944 99,221 1:0.34 237,429 1:0.80
  3,743,790 1,121,284 1:0.30 2,699,705 1:0.72

 

USC, University of Southern California » USC Linux Users Group » Index of /pub/linux/distributions/suse/update/10.0/repodata
 

Filename Text Fast Infoset ratio .NET Binary ratio
filelists.xml 100,768,858 27,573,931 1:0.27 91,051,610 1:0.90
other.xml 208,011,006 99,229,680 1:0.48 195,652,484 1:0.94
patches.xml 116 67 1:0.58 59 1:0.51
primary.xml 17,849,562 5,425,803 1:0.30 15,938,587 1:0.89
repomd.xml 1,231 664 1:0.54 915 1:0.74
  326,630,773 132,230,145 1:0.40 302,643,655 1:0.93

 

wwPDB, Worldwide Protein Data Bank » Remediated Data Download » Coordinate files in PDBML/XML format (set 00)
 

Filename Text Fast Infoset ratio .NET Binary ratio
100d.xml 586,916 77,293 1:0.13 281,671 1:0.48
200d.xml 335,491 47,097 1:0.14 160,474 1:0.48
200l.xml 1,532,379 200,017 1:0.13 733,130 1:0.48
300d.xml 997,464 127,336 1:0.13 475,397 1:0.48
400d.xml 343,519 47,924 1:0.14 164,780 1:0.48
  3,795,769 499,667 1:0.13 1,815,452 1:0.48

 

Elliotte Rusty Harold » Cafe con Leche XML News and Resources » XML Examples
 

Filename Text Fast Infoset ratio .NET Binary ratio
1998shortstats.xml 8,466 2,254 1:0.27 4,558 1:0.54
1998statistics.xml 669,309 126,872 1:0.19 393,126 1:0.59
4-2.xml 9,229 2,739 1:0.30 4,722 1:0.51
allelements.xml 113,135 23,894 1:0.21 73,728 1:0.65
silicontowers.xml 809 413 1:0.51 471 1:0.58
water.xml 467 288 1:0.62 317 1:0.68
  801,415 156,460 1:0.20 476,922 1:0.60

 

NLM, National Library of Medicine » MEDLINE/PubMed data sample files
 

Filename Text Fast Infoset ratio .NET Binary ratio
medline07n0058.xml 69,565,370 12,284,324 1:0.18 44,556,900 1:0.64
medline07n0127.xml 101,370,278 23,661,180 1:0.23 67,792,496 1:0.67
medline07n0218.xml 121,834,587 37,247,001 1:0.31 85,558,176 1:0.70
medline07n0342.xml 132,060,390 43,882,006 1:0.33 94,399,263 1:0.71
medline07n0431.xml 130,101,699 44,838,046 1:0.35 93,401,811 1:0.72
medline07n0505.xml 143,623,568 52,828,970 1:0.38 104,685,587 1:0.73
medsamp2007.xml 501,067 155,787 1:0.31 283,745 1:0.57
  699,056,959 214,897,314 1:0.31 490,677,978 1:0.70

 

norman.walsh.name » knows
 

Filename Text Fast Infoset ratio .NET Binary ratio
flickr.rdf 1,106,021 206,779 1:0.19 694,766 1:0.63
index.rdf 1,552,249 298,121 1:0.19 1,019,725 1:0.66
norman.walsh.name.rdf 8,143,196 1,871,241 1:0.23 5,713,909 1:0.70
pim.rdf 1,898,846 593,244 1:0.31 1,440,323 1:0.76
what.rdf 4,228 2,693 1:0.64 3,839 1:0.91
when.rdf 49,011 29,359 1:0.60 44,779 1:0.91
where.rdf 57,270 35,473 1:0.62 52,583 1:0.92
who.rdf 16,469 10,380 1:0.63 15,114 1:0.92
  12,827,290 3,047,290 1:0.24 8,985,038 1:0.70

 

Yale University » The ALlele FREquency Database » ALFRED Data
 

Filename Text Fast Infoset ratio .NET Binary ratio
alfred.xml 77,765,607 10,531,844 1:0.14 45,257,757 1:0.58
alfredWithoutDescription.xml 141,892,171 17,538,523 1:0.12 80,186,681 1:0.57
frequencies.xml 52,829,970 5,875,986 1:0.11 30,239,182 1:0.57
loci.xml 1,421,787 317,935 1:0.22 778,132 1:0.55
lociDescp.xml 2,755,931 1,010,163 1:0.37 1,818,025 1:0.66
miscInfoDescp.xml 2,371,474 1,097,054 1:0.46 1,696,101 1:0.72
populations.xml 8,378,817 1,251,890 1:0.15 4,503,487 1:0.54
populationsDescp.xml 8,604,876 1,388,647 1:0.16 4,684,984 1:0.54
  296,020,633 39,012,042 1:0.13 169,164,349 1:0.57

 

Department for Education and Skills » Qualification Accreditation Numbers » Generic QAN Data
 

Filename Text Fast Infoset ratio .NET Binary ratio
QAN_AB_V1.0.xml 73,853 20,626 1:0.28 50,964 1:0.69
QAN_Current_V1.1.xml 5,524,601 1,368,232 1:0.25 3,841,268 1:0.70
QAN_DiscCode_V1.1.xml 491,535 102,775 1:0.21 321,152 1:0.65
QAN_Expired_V1.1.xml 13,468 4,372 1:0.32 9,370 1:0.70
QAN_Map_V1.0.xml 1,027 518 1:0.50 704 1:0.69
QAN_QualType_V1.1.xml 54,807 12,178 1:0.22 35,346 1:0.64
QAN_QualTypePoints_V1.2.xml 829,523 107,406 1:0.13 478,471 1:0.58
QAN_SSFT1_V1.1.xml 4,631 1,319 1:0.28 3,072 1:0.66
QAN_SSFT2_V1.1.xml 18,060 4,135 1:0.23 12,170 1:0.67
  7,011,505 1,621,561 1:0.23 4,752,517 1:0.68

 

Georgetown University » Protein Information Resource » iProClass
 

Filename Text Fast Infoset ratio .NET Binary ratio
a_thaliana.xml 215,827,630 57,551,894 1:0.27 146,239,808 1:0.68
b_rerio.xml 127,160,982 39,831,865 1:0.31 88,673,085 1:0.70
b_subtilis.xml 24,368,126 6,182,354 1:0.25 16,000,385 1:0.66
c_elegans.xml 102,548,738 26,719,306 1:0.26 68,129,637 1:0.66
d_melanogaster.xml 143,943,613 38,496,870 1:0.27 97,824,926 1:0.68
e_coli.xml 160,236,575 37,385,189 1:0.23 106,919,564 1:0.67
m_jannaschii.xml 8,530,156 2,180,472 1:0.26 5,605,050 1:0.66
m_musculus.xml 403,617,670 108,678,122 1:0.27 274,726,057 1:0.68
m_thermoautotrophicum.xml 8,554,435 2,210,126 1:0.26 5,638,968 1:0.66
s_acidocaldarius.xml 7,895,364 2,053,567 1:0.26 5,258,359 1:0.67
s_cerevisiae.xml 63,829,851 17,842,036 1:0.28 43,318,073 1:0.68
s_pombe.xml 29,761,616 7,878,829 1:0.26 19,988,210 1:0.67
y_lipolytica.xml 24,468,396 7,082,406 1:0.29 16,763,148 1:0.69
  1,320,743,152 354,093,036 1:0.27 895,085,270 1:0.68

 

VŠB, Technical University of Ostrava » Amphora Research Group » Enron Corpus
 

Filename Text Fast Infoset ratio .NET Binary ratio
AddressList.xml 5,185,882 2,979,841 1:0.57 4,732,799 1:0.91
AllCommunicationList.xml 33,110,074 4,383,452 1:0.13 30,928,953 1:0.93
Corpus.xml 1,418,624,524 1,381,500,417 1:0.97 1,385,123,875 1:0.98
DocumentStemList.xml 1,342,667,787 255,945,445 1:0.19 938,218,496 1:0.70
DocumentTermList.xml 1,417,335,650 274,610,372 1:0.19 1,013,338,475 1:0.71
EmailDescriptorList.xml 277,973,532 64,447,532 1:0.23 181,781,527 1:0.65
InternalCommunicationList.xml 245,038 24,869 1:0.10 230,313 1:0.94
PersonList.xml 15,068 7,448 1:0.49 14,257 1:0.95
StemGlobalList.xml 16,935,890 6,652,698 1:0.39 15,104,689 1:0.89
StemIDFList.xml 14,507,334 3,779,086 1:0.26 12,945,310 1:0.89
StemInvertedList.xml 1,321,330,556 294,387,066 1:0.22 915,501,136 1:0.69
TermGlobalList.xml 27,522,179 8,853,897 1:0.32 25,438,238 1:0.92
TermIDFList.xml 17,142,876 4,478,734 1:0.26 15,299,292 1:0.89
TermInvertedList.xml 1,403,427,569 310,880,607 1:0.22 996,070,259 1:0.71
  7,296,023,959 2,612,931,464 1:0.36 5,534,727,619 1:0.76

 

MITRE Corporation » Open Vulnerability and Assessment Language » OVAL Repository
 

Filename Text Fast Infoset ratio .NET Binary ratio
hp_ux.10.definitions.xml 26,249 7,485 1:0.29 20,624 1:0.79
hp_ux.11.definitions.xml 358,081 90,923 1:0.25 277,331 1:0.77
microsoft.windows.95.definitions.xml 108,543 33,314 1:0.31 83,149 1:0.77
microsoft.windows.98.definitions.xml 280,461 80,453 1:0.29 218,964 1:0.78
microsoft.windows.2000.definitions.xml 3,412,397 897,262 1:0.26 2,663,180 1:0.78
microsoft.windows.me.definitions.xml 406,276 109,702 1:0.27 317,979 1:0.78
microsoft.windows.nt.definitions.xml 1,260,769 333,874 1:0.26 975,315 1:0.77
microsoft.windows.server.2003.definitions.xml 2,450,670 645,288 1:0.26 1,902,946 1:0.78
microsoft.windows.vista.definitions.xml 204,546 57,328 1:0.28 158,340 1:0.77
microsoft.windows.xp.definitions.xml 3,073,143 801,789 1:0.26 2,390,691 1:0.78
red.hat.enterprise.linux.3.definitions.xml 938,325 219,595 1:0.23 751,845 1:0.80
red.hat.enterprise.linux.4.definitions.xml 31,515 11,006 1:0.35 24,066 1:0.76
red.hat.linux.9.definitions.xml 1,003,742 236,875 1:0.24 799,169 1:0.80
sun.solaris.7.definitions.xml 420,228 106,694 1:0.25 334,443 1:0.80
sun.solaris.8.definitions.xml 551,299 138,893 1:0.25 439,100 1:0.80
sun.solaris.9.definitions.xml 474,325 118,184 1:0.25 378,015 1:0.80
sun.solaris.10.definitions.xml 203,600 51,204 1:0.25 164,365 1:0.81
  15,204,169 3,939,869 1:0.26 11,899,522 1:0.78

 

Recordare » MusicXML Definition » Downloads
 

Filename Text Fast Infoset ratio .NET Binary ratio
ActorPreludeSample.xml 1,226,985 181,262 1:0.15 580,943 1:0.47
BeetAnGeSample.xml 119,860 20,498 1:0.17 54,732 1:0.46
Binchois.xml 51,016 8,037 1:0.16 24,814 1:0.49
BrahWiMeSample.xml 84,503 14,886 1:0.18 38,463 1:0.46
BrookeWestSample.xml 155,063 23,644 1:0.15 61,207 1:0.39
Chant.xml 8,726 1,574 1:0.18 4,036 1:0.46
DebuMandSample.xml 113,971 19,056 1:0.17 51,132 1:0.45
Dichterliebe01.xml 215,440 35,480 1:0.16 99,812 1:0.46
Echigo-Jishi.xml 75,197 13,737 1:0.18 36,434 1:0.48
FaurReveSample.xml 150,363 24,951 1:0.17 63,626 1:0.42
MahlFaGe4Sample.xml 133,782 21,995 1:0.16 59,595 1:0.45
MozaChloSample.xml 221,466 19,048 1:0.09 50,287 1:0.23
MozartPianoSonata.xml 22,380 4,372 1:0.20 10,533 1:0.47
MozartTrio.xml 63,804 11,309 1:0.18 29,489 1:0.46
MozaVeilSample.xml 270,860 22,560 1:0.08 62,364 1:0.23
Saltarello.xml 30,562 5,117 1:0.17 14,339 1:0.47
SchbAvMaSample.xml 254,943 38,752 1:0.15 110,537 1:0.43
Telemann.xml 113,781 19,446 1:0.17 55,707 1:0.49
  3,312,702 485,724 1:0.15 1,408,050 1:0.43

 

RSCB PDB, Research Collaboratory for Structural Bioinformatics Protein Data Bank » PepcDB, Protein Expression Purification and Crystallization Database » Targets
 

Filename Text Fast Infoset ratio .NET Binary ratio
BIGS.xml 713,574 153,601 1:0.22 342,392 1:0.48
BSGC.xml 4,692,603 923,890 1:0.20 2,068,765 1:0.44
BSGI.xml 3,541,816 748,957 1:0.21 1,747,567 1:0.49
CESG.xml 101,037,908 38,324,580 1:0.38 54,657,236 1:0.54
ISFI.xml 480,409 103,800 1:0.22 214,545 1:0.45
ISPC.xml 408,732 79,974 1:0.20 183,094 1:0.45
JCSG.xml 437,746,216 69,005,132 1:0.16 164,116,095 1:0.37
MCSG.xml 108,916,638 22,740,835 1:0.21 47,623,760 1:0.44
MSGP.xml 720,095 166,602 1:0.23 348,748 1:0.48
NESGC.xml 149,194,559 27,911,645 1:0.19 58,706,795 1:0.39
NYSGXRC.xml 82,298,192 24,243,968 1:0.29 39,526,700 1:0.48
OPPF.xml 409,930 108,605 1:0.26 209,827 1:0.51
pepcTargets.xml 1,029,347,467 224,764,039 1:0.22 434,752,046 1:0.42
RSGI.xml 17,604,302 3,190,774 1:0.18 6,945,129 1:0.39
S2F.xml 652,581 142,035 1:0.22 278,383 1:0.43
SECSG.xml 56,322,229 15,113,778 1:0.27 26,539,880 1:0.47
SGPP.xml 43,443,630 10,835,482 1:0.25 21,274,038 1:0.49
SPINE.xml 2,625,446 593,526 1:0.23 1,308,474 1:0.50
TB.xml 14,437,768 3,741,928 1:0.26 6,660,602 1:0.46
XMTB.xml 351,577 101,800 1:0.29 185,505 1:0.53
YSG.xml 543,218 111,098 1:0.20 250,614 1:0.46
  2,055,488,890 443,106,049 1:0.22 867,940,195 1:0.42

 

EPER, European Pollutant Emission Register » EPER data (XML)
 

Filename Text Fast Infoset ratio .NET Binary ratio
EPER_AT_2004.xml 198,560 32,714 1:0.16 109,499 1:0.55
EPER_BE_2004.xml 732,326 107,756 1:0.15 409,499 1:0.56
EPER_CY_2004.xml 87,913 14,997 1:0.17 49,342 1:0.56
EPER_CZ_2004.xml 494,389 87,997 1:0.18 283,126 1:0.57
EPER_DE_2004.xml 2,505,297 398,478 1:0.16 1,444,707 1:0.58
EPER_DK_2004.xml 294,469 45,921 1:0.16 166,098 1:0.56
EPER_EE_2004.xml 39,268 6,763 1:0.17 21,224 1:0.54
EPER_ES_2004.xml 2,769,580 458,174 1:0.17 1,501,110 1:0.54
EPER_EU15_2004.xml 14,565,850 2,298,051 1:0.16 8,247,220 1:0.57
EPER_EU25_2004.xml 16,457,331 2,596,253 1:0.16 9,329,540 1:0.57
EPER_FI_2004.xml 358,217 52,904 1:0.15 194,651 1:0.54
EPER_FR_2004.xml 2,287,123 334,396 1:0.15 1,310,798 1:0.57
EPER_GR_2004.xml 170,801 32,386 1:0.19 96,491 1:0.56
EPER_HU_2004.xml 143,819 23,852 1:0.17 83,453 1:0.58
EPER_IE_2004.xml 232,343 38,273 1:0.16 132,421 1:0.57
EPER_IT_2004.xml 1,200,755 256,970 1:0.21 706,037 1:0.59
EPER_LT_2004.xml 79,538 15,020 1:0.19 44,450 1:0.56
EPER_LU_2004.xml 23,747 4,644 1:0.20 13,457 1:0.57
EPER_LV_2004.xml 37,316 7,412 1:0.20 20,029 1:0.54
EPER_MT_2004.xml 7,857 2,203 1:0.28 4,440 1:0.57
EPER_NL_2004.xml 619,641 84,382 1:0.14 363,564 1:0.59
EPER_NO_2004.xml 156,619 23,469 1:0.15 88,435 1:0.56
EPER_PL_2004.xml 723,363 112,974 1:0.16 419,142 1:0.58
EPER_PT_2004.xml 447,177 98,132 1:0.22 259,767 1:0.58
EPER_SE_2004.xml 398,169 59,665 1:0.15 225,983 1:0.57
EPER_SI_2004.xml 128,494 23,758 1:0.18 74,072 1:0.58
EPER_SK_2004.xml 150,812 25,014 1:0.17 83,778 1:0.56
EPER_UK_2004.xml 2,329,438 340,421 1:0.15 1,314,162 1:0.56
  47,640,212 7,582,979 1:0.16 26,996,495 1:0.57

 

EIONET, European Environment Information and Observation Network » The European Air Quality database » AirBase XML
 

Filename Text Fast Infoset ratio .NET Binary ratio
AD_meta.xml 4,793 1,712 1:0.36 2,508 1:0.52
AL_meta.xml 220 95 1:0.49 87 1:0.40
AT_meta.xml 39,091,326 3,482,009 1:0.09 18,364,355 1:0.47
BA_meta.xml 284,677 31,653 1:0.11 141,653 1:0.50
BE_meta.xml 35,377,458 3,099,918 1:0.09 16,649,150 1:0.47
BG_meta.xml 4,150,261 407,919 1:0.10 1,970,178 1:0.47
CH_meta.xml 9,065,308 857,411 1:0.09 4,250,551 1:0.47
CS_meta.xml 586,514 63,303 1:0.11 284,050 1:0.48
CY_meta.xml 111,851 15,833 1:0.14 54,059 1:0.48
CZ_meta.xml 15,466,010 1,430,620 1:0.09 7,302,675 1:0.47
DE_meta.xml 97,784,550 8,732,171 1:0.09 46,109,943 1:0.47
DK_meta.xml 3,674,209 349,265 1:0.10 1,726,123 1:0.47
EE_meta.xml 1,026,358 104,296 1:0.10 484,386 1:0.47
ES_meta.xml 60,006,612 5,480,965 1:0.09 28,424,439 1:0.47
FI_meta.xml 4,443,000 445,780 1:0.10 2,109,599 1:0.47
FR_meta.xml 54,204,714 4,894,430 1:0.09 25,659,174 1:0.47
GB_meta.xml 40,529,019 3,686,628 1:0.09 19,039,863 1:0.47
GR_meta.xml 3,954,958 388,924 1:0.10 1,878,696 1:0.48
HR_meta.xml 243 118 1:0.53 110 1:0.45
HU_meta.xml 1,624,281 177,477 1:0.11 781,350 1:0.48
IE_meta.xml 2,064,129 212,593 1:0.10 984,459 1:0.48
IS_meta.xml 600,640 65,755 1:0.11 285,157 1:0.47
IT_meta.xml 33,832,378 3,363,884 1:0.10 16,151,561 1:0.48
LI_meta.xml 62,713 9,871 1:0.16 30,522 1:0.49
LT_meta.xml 1,319,847 141,209 1:0.11 633,503 1:0.48
LU_meta.xml 237,226 24,313 1:0.10 110,178 1:0.46
LV_meta.xml 944,459 104,027 1:0.11 453,864 1:0.48
MK_meta.xml 1,823,722 191,231 1:0.10 866,366 1:0.48
MT_meta.xml 168,250 23,413 1:0.14 81,494 1:0.48
NL_meta.xml 14,048,636 1,340,766 1:0.10 6,613,964 1:0.47
NO_meta.xml 1,735,143 182,115 1:0.10 825,101 1:0.48
PL_meta.xml 8,334,123 847,482 1:0.10 4,019,999 1:0.48
PT_meta.xml 7,949,472 775,937 1:0.10 3,776,894 1:0.48
RO_meta.xml 2,283,920 238,047 1:0.10 1,087,506 1:0.48
SE_meta.xml 2,272,778 233,224 1:0.10 1,078,157 1:0.47
SI_meta.xml 1,094,434 117,417 1:0.11 521,970 1:0.48
SK_meta.xml 4,056,668 407,540 1:0.10 1,930,999 1:0.48
TR_meta.xml 219 94 1:0.49 86 1:0.39
  454,215,119 41,929,445 1:0.09 214,684,729 1:0.47

 

University of Tokyo » A database of Japanese Single Nucleotide Polymorphisms » JSNP database XML files
 

Filename Text Fast Infoset ratio .NET Binary ratio
contig.chr1.xml 15,058 2,812 1:0.19 7,444 1:0.49
contig.chr2.xml 6,039 1,278 1:0.21 3,031 1:0.50
contig.chr3.xml 2,940 681 1:0.23 1,450 1:0.49
contig.chr4.xml 5,963 1,204 1:0.20 2,949 1:0.49
contig.chr5.xml 2,376 625 1:0.26 1,196 1:0.50
contig.chr6.xml 3,579 823 1:0.23 1,789 1:0.50
contig.chr7.xml 4,781 1,038 1:0.22 2,379 1:0.50
contig.chr8.xml 5,614 1,086 1:0.19 2,746 1:0.49
contig.chr9.xml 14,142 2,665 1:0.19 6,994 1:0.49
contig.chr10.xml 6,033 1,290 1:0.21 3,023 1:0.50
contig.chr11.xml 3,552 802 1:0.23 1,760 1:0.50
contig.chr12.xml 2,392 641 1:0.27 1,214 1:0.51
contig.chr13.xml 2,069 567 1:0.27 1,041 1:0.50
contig.chr14.xml 552 299 1:0.54 284 1:0.51
contig.chr15.xml 5,052 1,045 1:0.21 2,492 1:0.49
contig.chr16.xml 2,056 541 1:0.26 1,026 1:0.50
contig.chr17.xml 8,216 1,402 1:0.17 3,960 1:0.48
contig.chr18.xml 2,058 542 1:0.26 1,028 1:0.50
contig.chr19.xml 2,041 535 1:0.26 1,011 1:0.50
contig.chr20.xml 2,069 570 1:0.28 1,043 1:0.50
contig.chr21.xml 4,075 794 1:0.19 1,967 1:0.48
contig.chr22.xml 3,567 811 1:0.23 1,775 1:0.50
contig.chrX.xml 6,865 1,364 1:0.20 3,391 1:0.49
contig.chrY.xml 5,380 1,124 1:0.21 2,656 1:0.49
Ens_gene.chr1.xml 52,165,548 15,821,072 1:0.30 29,844,695 1:0.57
Ens_gene.chr2.xml 20,292,116 6,716,078 1:0.33 11,867,266 1:0.58
Ens_gene.chr3.xml 14,358,365 4,602,251 1:0.32 8,281,589 1:0.58
Ens_gene.chr4.xml 10,457,396 3,386,731 1:0.32 6,048,475 1:0.58
Ens_gene.chr5.xml 12,913,847 4,207,106 1:0.33 7,511,232 1:0.58
Ens_gene.chr6.xml 21,869,952 6,706,554 1:0.31 12,532,812 1:0.57
Ens_gene.chr7.xml 12,050,131 3,874,687 1:0.32 6,954,651 1:0.58
Ens_gene.chr8.xml 8,977,458 2,919,946 1:0.33 5,203,704 1:0.58
Ens_gene.chr9.xml 20,802,130 6,340,762 1:0.30 11,927,141 1:0.57
Ens_gene.chr10.xml 19,441,410 5,908,471 1:0.30 11,106,801 1:0.57
Ens_gene.chr11.xml 15,337,074 4,955,161 1:0.32 8,855,155 1:0.58
Ens_gene.chr12.xml 13,038,204 4,137,236 1:0.32 7,476,642 1:0.57
Ens_gene.chr13.xml 7,748,490 2,354,058 1:0.30 4,427,511 1:0.57
Ens_gene.chr14.xml 8,123,250 2,621,889 1:0.32 4,702,809 1:0.58
Ens_gene.chr15.xml 8,690,924 2,834,413 1:0.33 5,036,514 1:0.58
Ens_gene.chr16.xml 10,882,599 3,448,929 1:0.32 6,241,232 1:0.57
Ens_gene.chr17.xml 14,343,407 4,608,627 1:0.32 8,237,703 1:0.57
Ens_gene.chr18.xml 3,419,662 1,104,425 1:0.32 1,975,824 1:0.58
Ens_gene.chr19.xml 14,544,277 4,832,216 1:0.33 8,453,020 1:0.58
Ens_gene.chr20.xml 12,875,019 3,776,331 1:0.29 7,253,201 1:0.56
Ens_gene.chr21.xml 3,389,121 1,075,404 1:0.32 1,951,918 1:0.58
Ens_gene.chr22.xml 5,361,021 1,692,885 1:0.32 3,062,546 1:0.57
Ens_gene.chrX.xml 17,306,215 5,419,383 1:0.31 9,979,525 1:0.58
Ens_gene.chrY.xml 1,136,653 347,587 1:0.31 646,559 1:0.57
JSNP-Screened_SNP_1.xml 45,877,155 8,386,735 1:0.18 23,944,531 1:0.52
JSNP-Screened_SNP_2.xml 35,053,686 6,060,569 1:0.17 18,208,867 1:0.52
JSNP-Screened_SNP_3.xml 26,910,804 4,778,148 1:0.18 14,046,858 1:0.52
JSNP-Screened_SNP_4.xml 18,440,229 3,281,358 1:0.18 9,634,738 1:0.52
JSNP-Screened_SNP_5.xml 24,468,665 4,275,984 1:0.17 12,729,995 1:0.52
JSNP-Screened_SNP_6.xml 39,394,544 7,223,419 1:0.18 20,558,898 1:0.52
JSNP-Screened_SNP_7.xml 34,482,013 5,859,393 1:0.17 17,781,747 1:0.52
JSNP-Screened_SNP_8.xml 13,052,555 2,336,154 1:0.18 6,821,606 1:0.52
JSNP-Screened_SNP_9.xml 15,482,628 2,757,739 1:0.18 8,080,412 1:0.52
JSNP-Screened_SNP_10.xml 15,956,649 2,844,618 1:0.18 8,350,954 1:0.52
JSNP-Screened_SNP_11.xml 18,316,762 3,293,040 1:0.18 9,575,586 1:0.52
JSNP-Screened_SNP_12.xml 20,231,234 3,647,045 1:0.18 10,536,591 1:0.52
JSNP-Screened_SNP_13.xml 8,252,210 1,495,642 1:0.18 4,315,238 1:0.52
JSNP-Screened_SNP_14.xml 16,543,223 2,935,137 1:0.18 8,579,573 1:0.52
JSNP-Screened_SNP_15.xml 11,402,884 2,046,440 1:0.18 5,983,522 1:0.52
JSNP-Screened_SNP_16.xml 15,550,409 2,730,726 1:0.18 8,093,421 1:0.52
JSNP-Screened_SNP_17.xml 17,219,033 3,032,096 1:0.18 8,963,674 1:0.52
JSNP-Screened_SNP_18.xml 6,992,298 1,278,166 1:0.18 3,665,067 1:0.52
JSNP-Screened_SNP_19.xml 20,532,718 3,560,743 1:0.17 10,686,298 1:0.52
JSNP-Screened_SNP_20.xml 15,152,766 2,798,938 1:0.18 7,938,284 1:0.52
JSNP-Screened_SNP_21.xml 9,915,788 1,691,334 1:0.17 5,086,888 1:0.51
JSNP-Screened_SNP_22.xml 15,340,670 3,027,185 1:0.20 8,102,822 1:0.53
JSNP-Screened_SNP_Un.xml 24,438,784 4,458,141 1:0.18 12,643,575 1:0.52
JSNP-Screened_SNP_X.xml 8,838,622 1,683,511 1:0.19 4,621,091 1:0.52
JSNP-Screened_SNP_Y.xml 179,346 33,112 1:0.18 92,307 1:0.51
JST_PML_snp.chr1.xml 34,063,877 10,573,549 1:0.31 25,649,835 1:0.75
JST_PML_snp.chr2.xml 31,846,641 9,242,277 1:0.29 23,389,612 1:0.73
JST_PML_snp.chr3.xml 23,188,112 6,661,411 1:0.29 16,987,005 1:0.73
JST_PML_snp.chr4.xml 15,789,138 4,616,983 1:0.29 11,608,919 1:0.74
JST_PML_snp.chr5.xml 20,656,391 5,994,963 1:0.29 15,162,613 1:0.73
JST_PML_snp.chr6.xml 29,353,542 8,661,844 1:0.30 21,668,186 1:0.74
JST_PML_snp.chr7.xml 27,809,143 8,393,032 1:0.30 20,652,304 1:0.74
JST_PML_snp.chr8.xml 11,316,089 3,227,117 1:0.29 8,279,121 1:0.73
JST_PML_snp.chr9.xml 13,884,162 3,969,952 1:0.29 10,129,747 1:0.73
JST_PML_snp.chr10.xml 15,491,814 4,303,834 1:0.28 11,274,067 1:0.73
JST_PML_snp.chr11.xml 16,964,180 4,760,891 1:0.28 12,314,672 1:0.73
JST_PML_snp.chr12.xml 17,674,848 5,079,170 1:0.29 12,905,889 1:0.73
JST_PML_snp.chr13.xml 7,031,063 2,063,136 1:0.29 5,167,700 1:0.73
JST_PML_snp.chr14.xml 13,921,956 4,060,945 1:0.29 10,242,835 1:0.74
JST_PML_snp.chr15.xml 11,512,356 3,158,593 1:0.27 8,357,901 1:0.73
JST_PML_snp.chr16.xml 13,553,639 3,781,232 1:0.28 9,876,056 1:0.73
JST_PML_snp.chr17.xml 16,509,083 4,450,362 1:0.27 11,900,461 1:0.72
JST_PML_snp.chr18.xml 5,863,362 1,656,704 1:0.28 4,265,691 1:0.73
JST_PML_snp.chr19.xml 19,107,174 5,188,913 1:0.27 13,767,011 1:0.72
JST_PML_snp.chr20.xml 11,950,013 3,427,126 1:0.29 8,729,452 1:0.73
JST_PML_snp.chr21.xml 7,951,065 2,382,362 1:0.30 5,908,540 1:0.74
JST_PML_snp.chr22.xml 12,057,507 3,509,809 1:0.29 8,899,099 1:0.74
JST_PML_snp.chrX.xml 6,386,521 2,119,072 1:0.33 4,821,501 1:0.75
JST_PML_snp.chrY.xml 403,488 102,834 1:0.25 305,038 1:0.76
JST_snp.chr1.xml 37,049,073 7,144,841 1:0.19 19,303,482 1:0.52
JST_snp.chr2.xml 41,063,747 17,365,706 1:0.42 26,879,361 1:0.65
JST_snp.chr3.xml 23,963,290 6,084,438 1:0.25 13,245,353 1:0.55
JST_snp.chr4.xml 16,138,490 4,167,489 1:0.26 8,978,765 1:0.56
JST_snp.chr5.xml 22,144,920 5,897,240 1:0.27 12,405,982 1:0.56
JST_snp.chr6.xml 32,669,333 8,290,081 1:0.25 18,093,313 1:0.55
JST_snp.chr7.xml 29,124,764 6,914,451 1:0.24 15,875,286 1:0.55
JST_snp.chr8.xml 11,827,241 3,152,408 1:0.27 6,636,464 1:0.56
JST_snp.chr9.xml 16,529,456 4,638,814 1:0.28 9,368,527 1:0.57
JST_snp.chr10.xml 18,725,892 5,251,454 1:0.28 10,622,016 1:0.57
JST_snp.chr11.xml 17,368,732 4,560,988 1:0.26 9,645,509 1:0.56
JST_snp.chr12.xml 17,281,596 4,513,254 1:0.26 9,615,814 1:0.56
JST_snp.chr13.xml 7,823,544 2,045,548 1:0.26 4,355,978 1:0.56
JST_snp.chr14.xml 14,810,688 3,871,412 1:0.26 8,256,338 1:0.56
JST_snp.chr15.xml 12,302,937 3,542,553 1:0.29 7,059,499 1:0.57
JST_snp.chr16.xml 14,160,564 3,690,666 1:0.26 7,892,596 1:0.56
JST_snp.chr17.xml 16,776,723 4,687,796 1:0.28 9,508,378 1:0.57
JST_snp.chr18.xml 5,811,988 1,537,075 1:0.26 3,241,466 1:0.56
JST_snp.chr19.xml 20,211,832 5,879,915 1:0.29 11,562,570 1:0.57
JST_snp.chr20.xml 13,781,300 3,624,344 1:0.26 7,634,140 1:0.55
JST_snp.chr21.xml 8,175,824 1,881,210 1:0.23 4,433,059 1:0.54
JST_snp.chr22.xml 11,988,032 2,696,874 1:0.22 6,439,992 1:0.54
JST_snp.chrX.xml 9,492,927 2,622,880 1:0.28 5,373,549 1:0.57
JST_snp.chrY.xml 496,023 116,731 1:0.24 280,491 1:0.57
NCBI_gene.chr1.xml 25,072,070 7,965,623 1:0.32 14,344,761 1:0.57
NCBI_gene.chr2.xml 18,702,275 6,165,519 1:0.33 10,864,850 1:0.58
NCBI_gene.chr3.xml 14,155,383 4,503,744 1:0.32 8,114,984 1:0.57
NCBI_gene.chr4.xml 9,241,005 3,004,677 1:0.33 5,325,671 1:0.58
NCBI_gene.chr5.xml 11,293,072 3,781,030 1:0.33 6,594,068 1:0.58
NCBI_gene.chr6.xml 12,207,362 3,964,409 1:0.32 7,039,694 1:0.58
NCBI_gene.chr7.xml 11,780,265 3,729,624 1:0.32 6,740,040 1:0.57
NCBI_gene.chr8.xml 8,465,156 2,778,290 1:0.33 4,900,501 1:0.58
NCBI_gene.chr9.xml 9,596,987 3,087,366 1:0.32 5,533,656 1:0.58
NCBI_gene.chr10.xml 11,010,027 3,366,388 1:0.31 6,232,756 1:0.57
NCBI_gene.chr11.xml 13,929,023 4,521,832 1:0.32 8,019,799 1:0.58
NCBI_gene.chr12.xml 12,849,456 4,038,301 1:0.31 7,308,989 1:0.57
NCBI_gene.chr13.xml 4,082,620 1,361,622 1:0.33 2,370,183 1:0.58
NCBI_gene.chr14.xml 7,588,970 2,460,669 1:0.32 4,378,792 1:0.58
NCBI_gene.chr15.xml 9,356,085 2,971,284 1:0.32 5,351,457 1:0.57
NCBI_gene.chr16.xml 10,238,898 3,227,736 1:0.32 5,841,570 1:0.57
NCBI_gene.chr17.xml 15,031,472 4,754,600 1:0.32 8,568,975 1:0.57
NCBI_gene.chr18.xml 3,655,925 1,160,123 1:0.32 2,095,782 1:0.57
NCBI_gene.chr19.xml 13,781,375 4,582,002 1:0.33 7,976,294 1:0.58
NCBI_gene.chr20.xml 6,650,314 2,050,241 1:0.31 3,761,488 1:0.57
NCBI_gene.chr21.xml 3,224,191 973,602 1:0.30 1,820,656 1:0.56
NCBI_gene.chr22.xml 5,843,856 1,831,700 1:0.31 3,323,745 1:0.57
NCBI_gene.chrX.xml 10,043,355 3,281,395 1:0.33 5,815,791 1:0.58
NCBI_gene.chrY.xml 879,406 263,986 1:0.30 491,239 1:0.56
NCBI_snp.chr1.xml 567,822,060 153,821,240 1:0.27 335,969,919 1:0.59
NCBI_snp.chr2.xml 512,605,309 143,554,144 1:0.28 303,986,997 1:0.59
NCBI_snp.chr3.xml 425,772,555 119,919,323 1:0.28 252,429,424 1:0.59
NCBI_snp.chr4.xml 481,515,923 129,912,671 1:0.27 284,875,872 1:0.59
NCBI_snp.chr5.xml 405,673,175 111,637,178 1:0.28 240,309,022 1:0.59
NCBI_snp.chr6.xml 429,180,309 120,250,358 1:0.28 254,187,785 1:0.59
NCBI_snp.chr7.xml 337,707,408 98,584,733 1:0.29 199,959,893 1:0.59
NCBI_snp.chr8.xml 330,970,479 93,037,287 1:0.28 195,862,738 1:0.59
NCBI_snp.chr9.xml 386,986,054 93,412,358 1:0.24 228,216,282 1:0.59
NCBI_snp.chr10.xml 322,520,164 92,275,643 1:0.29 190,879,450 1:0.59
NCBI_snp.chr11.xml 325,619,502 91,085,902 1:0.28 192,660,672 1:0.59
NCBI_snp.chr12.xml 296,555,054 84,447,251 1:0.28 175,674,277 1:0.59
NCBI_snp.chr13.xml 230,021,930 65,249,912 1:0.28 136,207,734 1:0.59
NCBI_snp.chr14.xml 202,467,760 54,600,732 1:0.27 120,003,122 1:0.59
NCBI_snp.chr15.xml 190,264,514 52,452,029 1:0.28 112,496,489 1:0.59
NCBI_snp.chr16.xml 208,768,998 56,925,994 1:0.27 123,472,329 1:0.59
NCBI_snp.chr17.xml 173,520,294 49,035,065 1:0.28 102,352,569 1:0.59
NCBI_snp.chr18.xml 169,889,285 48,366,876 1:0.28 100,499,329 1:0.59
NCBI_snp.chr19.xml 129,775,736 38,012,608 1:0.29 76,704,713 1:0.59
NCBI_snp.chr20.xml 171,718,293 49,738,837 1:0.29 101,398,311 1:0.59
NCBI_snp.chr21.xml 124,550,775 30,231,238 1:0.24 72,955,807 1:0.59
NCBI_snp.chr22.xml 112,218,575 31,091,166 1:0.28 66,231,867 1:0.59
NCBI_snp.chrX.xml 291,574,296 72,336,380 1:0.25 172,519,178 1:0.59
NCBI_snp.chrY.xml 69,421,334 12,815,883 1:0.18 40,739,743 1:0.59
  8,757,468,823 2,387,416,964 1:0.27 5,181,059,163 1:0.59

 

Text vs Fast Infoset vs MTOM

We used the MTOM encoding sample by Microsoft to measure the size of five SOAP messages when encoded in the text, Fast Infoset and MTOM formats. These SOAP messages contain only binary data, their size ranging from 100 bytes to 1,000,000 bytes.

 

Payload size Text Fast Infoset ratio MTOM ratio
100 bytes 433 335 1:0.77 912 1:2.11
1,000 bytes 1,633 1,238 1:0.76 2,080 1:1.27
10,000 bytes 13,633 10,238 1:0.75 11,080 1:0.81
100,000 bytes 133,633 100,238 1:0.75 101,080 1:0.76
1,000,000 bytes 1,333,633 1,000,238 1:0.75 1,001,080 1:0.75

 

Analysis

The Fast Infoset encoding reduced the size of all 25 collections significantly more than either the text encoding or the .NET Binary encoding.

For each collection the total size of all its Fast Infoset documents ranged between 9% and 40% of the total size of all its text documents, while the total size of all its .NET Binary documents ranged between 42% and 93% of the total size of all its text documents.

Table 1 compares for each collection the total size of all its Fast Infoset and .NET Binary documents to the total size of all its text documents.

 

Table 1 - Sizes of Fast Infoset and .NET Binary as a percentage of text

 

The MTOM encoding was designed to decrease the size of text-encoded SOAP messages that contain binary data. However, MTOM is more efficient than text only when the amount of binary data in the payload exceeds 2,350 bytes. With lesser amounts of binary data, MTOM-encoded SOAP messages are actually larger than text-encoded SOAP messages.

Contrary to MTOM, Fast Infoset-encoded SOAP messages are always smaller than text-encoded SOAP message even with small amounts of binary data in their payload. Furthermore, Fast Infoset can decrease the size of SOAP messages irrespective of whether they contain binary data or not.

Table 2 compares the size of the text, Fast Infoset and MTOM encodings for different sizes of binary data in the payload of an otherwise empty SOAP message. Note that since only binary data were included in the tested payloads, the compactness benefits offered by Fast Infoset for non-binary data are not reflected in this table.

 

Table 1 - Sizes of Fast Infoset and MTOM as a percentage of text

Conclusion

Fast Infoset is by far the most compact encoding when compared to the text, .NET Binary and MTOM encodings.

You can use Fast Infoset Converter and MSBXML Converter to do your own comparisons.

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