{"id":"https://openalex.org/W2439390339","doi":"https://doi.org/10.1145/2882903.2882925","title":"Data Blocks","display_name":"Data Blocks","publication_year":2016,"publication_date":"2016-06-14","ids":{"openalex":"https://openalex.org/W2439390339","doi":"https://doi.org/10.1145/2882903.2882925","mag":"2439390339"},"language":"en","primary_location":{"id":"doi:10.1145/2882903.2882925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2882903.2882925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043818391","display_name":"Harald Lang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harald Lang","raw_affiliation_strings":["Technical University Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023235581","display_name":"Tobias M\u00fchlbauer","orcid":"https://orcid.org/0000-0002-1843-198X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tobias M\u00fchlbauer","raw_affiliation_strings":["Technical University Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023481936","display_name":"Florian Funke","orcid":"https://orcid.org/0000-0001-7301-1550"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Florian Funke","raw_affiliation_strings":["Snowflake Computing, San Mateo, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snowflake Computing, San Mateo, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058712681","display_name":"Peter Boncz","orcid":"https://orcid.org/0000-0001-6256-0140"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832","https://openalex.org/I4405262988"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter A. Boncz","raw_affiliation_strings":["Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101880157","display_name":"Thomas Neumann","orcid":"https://orcid.org/0000-0001-5787-142X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Neumann","raw_affiliation_strings":["Technical University Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Munich, Munich, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105817801","display_name":"Alfons Kemper","orcid":"https://orcid.org/0009-0003-9066-271X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alfons Kemper","raw_affiliation_strings":["Technical University Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University Munich, Munich, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.249,"has_fulltext":false,"cited_by_count":137,"citation_normalized_percentile":{"value":0.99248158,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"311","last_page":"326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/online-transaction-processing","display_name":"Online transaction processing","score":0.8962893486022949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8620727062225342},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.7545211315155029},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5757198333740234},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5504162311553955},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5334041118621826},{"id":"https://openalex.org/keywords/materialized-view","display_name":"Materialized view","score":0.5203070640563965},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5076631307601929},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.4619908630847931},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.39615029096603394},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.3413153290748596},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1772947907447815},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.16508114337921143},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.1132960319519043}],"concepts":[{"id":"https://openalex.org/C191087605","wikidata":"https://www.wikidata.org/wiki/Q1501395","display_name":"Online transaction processing","level":4,"score":0.8962893486022949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8620727062225342},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.7545211315155029},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5757198333740234},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5504162311553955},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5334041118621826},{"id":"https://openalex.org/C98199447","wikidata":"https://www.wikidata.org/wiki/Q2445044","display_name":"Materialized view","level":4,"score":0.5203070640563965},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5076631307601929},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.4619908630847931},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.39615029096603394},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.3413153290748596},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1772947907447815},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.16508114337921143},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.1132960319519043},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/2882903.2882925","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2882903.2882925","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 International Conference on Management of Data","raw_type":"proceedings-article"},{"id":"pmh:oai:research.vu.nl:publications/820af4d9-00b5-4d74-bd8f-9f6287d4cd14","is_oa":false,"landing_page_url":"https://research.vu.nl/en/publications/820af4d9-00b5-4d74-bd8f-9f6287d4cd14","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lang, H, M\u00fchlbauer, T, Funke, F, Boncz, P, Neumann, T & Kemper, A 2016, Data Blocks : Hybrid OLTP and OLAP on compressed storage using both vectorization and compilation. in SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. vol. 26-June-2016, Association for Computing Machinery (ACM), pp. 311-326, 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016, San Francisco, United States, 26/06/16. https://doi.org/10.1145/2882903.2882925","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:cwi:oai:cwi.nl:24382","is_oa":false,"landing_page_url":"https://ir.cwi.nl/pub/24382","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:research.vu.nl:openaire_cris_publications/820af4d9-00b5-4d74-bd8f-9f6287d4cd14","is_oa":false,"landing_page_url":"https://hdl.handle.net/1871.1/820af4d9-00b5-4d74-bd8f-9f6287d4cd14","pdf_url":null,"source":{"id":"https://openalex.org/S4306401107","display_name":"VU Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I865915315","host_organization_name":"Vrije Universiteit Amsterdam","host_organization_lineage":["https://openalex.org/I865915315"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Lang, H, M\u00fchlbauer, T, Funke, F, Boncz, P, Neumann, T & Kemper, A 2016, Data Blocks : Hybrid OLTP and OLAP on compressed storage using both vectorization and compilation. in SIGMOD 2016 - Proceedings of the 2016 International Conference on Management of Data. vol. 26-June-2016, Association for Computing Machinery (ACM), pp. 311-326, 2016 ACM SIGMOD International Conference on Management of Data, SIGMOD 2016, San Francisco, United States, 26/06/16. https://doi.org/10.1145/2882903.2882925","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1494049834","https://openalex.org/W1584770030","https://openalex.org/W1761301028","https://openalex.org/W1967601791","https://openalex.org/W1969877208","https://openalex.org/W1982013147","https://openalex.org/W1991223838","https://openalex.org/W2005294557","https://openalex.org/W2014977566","https://openalex.org/W2027748129","https://openalex.org/W2055774867","https://openalex.org/W2068245803","https://openalex.org/W2084636353","https://openalex.org/W2086977914","https://openalex.org/W2091459966","https://openalex.org/W2096496252","https://openalex.org/W2099035968","https://openalex.org/W2102729946","https://openalex.org/W2102987499","https://openalex.org/W2103670492","https://openalex.org/W2106625078","https://openalex.org/W2106771621","https://openalex.org/W2106911865","https://openalex.org/W2123686039","https://openalex.org/W2124851765","https://openalex.org/W2130642985","https://openalex.org/W2135003477","https://openalex.org/W2140453381","https://openalex.org/W2147076738","https://openalex.org/W2153084230","https://openalex.org/W2153185479","https://openalex.org/W2163231231","https://openalex.org/W2163422235","https://openalex.org/W2164502281","https://openalex.org/W2166955231","https://openalex.org/W2183342041","https://openalex.org/W2394534308","https://openalex.org/W2398564056","https://openalex.org/W2401029678","https://openalex.org/W6637898976","https://openalex.org/W6675553691","https://openalex.org/W6678708722","https://openalex.org/W6679817081"],"related_works":["https://openalex.org/W1555950237","https://openalex.org/W2804682780","https://openalex.org/W2084383859","https://openalex.org/W3166336118","https://openalex.org/W2188262136","https://openalex.org/W834810655","https://openalex.org/W2188975716","https://openalex.org/W171602259","https://openalex.org/W2102729946","https://openalex.org/W2240092424"],"abstract_inverted_index":{"This":[0,93],"work":[1],"aims":[2],"at":[3],"reducing":[4],"the":[5,62,74,135,138],"main-memory":[6],"footprint":[7],"in":[8,102],"high":[9,18,181],"performance":[10,20,172],"hybrid":[11,161],"OLTP":[12,72,85,162],"&":[13,163],"OLAP":[14,164],"databases,":[15],"while":[16,179],"retaining":[17,180],"query":[19,121,126,153,177],"and":[21],"transactional":[22],"throughput.":[23,183],"For":[24],"this":[25],"purpose,":[26],"an":[27,145],"innovative":[28],"compressed":[29],"columnar":[30],"storage":[31,96],"format":[32],"for":[33],"cold":[34],"data,":[35],"called":[36,50],"Data":[37,41,58,78,132,169],"Blocks":[38,42,59,79,133,170],"is":[39],"introduced.":[40],"further":[43],"incorporate":[44],"a":[45,174],"new":[46],"light-weight":[47],"index":[48],"structure":[49],"Positional":[51],"SMA":[52],"that":[53,84,168],"narrows":[54],"scan":[55,148],"ranges":[56],"within":[57],"even":[60],"if":[61],"entire":[63],"block":[64],"cannot":[65],"be":[66,110],"ruled":[67],"out.":[68],"To":[69],"achieve":[70],"highest":[71],"performance,":[73],"compression":[75],"schemes":[76],"of":[77,131,137,141,157,176],"are":[80],"very":[81],"light-weight,":[82],"such":[83],"transactions":[86],"can":[87],"still":[88],"quickly":[89],"access":[90],"individual":[91],"tuples.":[92],"sets":[94],"our":[95,159],"scheme":[97],"apart":[98],"from":[99],"those":[100],"used":[101],"specialized":[103],"analytical":[104,116],"databases":[105],"where":[106],"data":[107],"must":[108],"usually":[109],"bit-unpacked.":[111],"Up":[112],"to":[113],"now,":[114],"high-performance":[115],"systems":[117],"use":[118],"either":[119],"vectorized":[120,147],"execution":[122],"or":[123],"just-in-time":[124],"(JIT)":[125],"compilation.":[127],"The":[128],"fine-grained":[129],"adaptivity":[130],"necessitates":[134],"integration":[136],"best":[139],"features":[140],"each":[142],"approach":[143],"by":[144],"interpreted":[146],"subsystem":[149],"feeding":[150],"into":[151],"JIT-compiled":[152],"pipelines.":[154],"Experimental":[155],"evaluation":[156],"HyPer,":[158],"full-fledged":[160],"database":[165],"system,":[166],"shows":[167],"accelerate":[171],"on":[173],"variety":[175],"workloads":[178],"transaction":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":20},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}
