{"id":"https://openalex.org/W4414267088","doi":"https://doi.org/10.14778/3750601.3750603","title":"TuskFlow: An Efficient Graph Database for Long-Running Transactions","display_name":"TuskFlow: An Efficient Graph Database for Long-Running Transactions","publication_year":2025,"publication_date":"2025-08-01","ids":{"openalex":"https://openalex.org/W4414267088","doi":"https://doi.org/10.14778/3750601.3750603"},"language":"en","primary_location":{"id":"doi:10.14778/3750601.3750603","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3750601.3750603","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5099161774","display_name":"Georgios Theodorakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georgios Theodorakis","raw_affiliation_strings":["NVIDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NVIDIA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065902266","display_name":"Hugo Firth","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153280","display_name":"NeoGenomics (United States)","ror":"https://ror.org/04vj14y69","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153280"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hugo Firth","raw_affiliation_strings":["Neo4j"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neo4j","institution_ids":["https://openalex.org/I4210153280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099161775","display_name":"James Clarkson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153280","display_name":"NeoGenomics (United States)","ror":"https://ror.org/04vj14y69","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153280"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Clarkson","raw_affiliation_strings":["Neo4j"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neo4j","institution_ids":["https://openalex.org/I4210153280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043986860","display_name":"Natacha Crooks","orcid":"https://orcid.org/0000-0002-3567-801X"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natacha Crooks","raw_affiliation_strings":["UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC Berkeley","institution_ids":["https://openalex.org/I134446601","https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113435607","display_name":"Jim Webber","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153280","display_name":"NeoGenomics (United States)","ror":"https://ror.org/04vj14y69","country_code":"US","type":"company","lineage":["https://openalex.org/I4210153280"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jim Webber","raw_affiliation_strings":["Neo4j"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Neo4j","institution_ids":["https://openalex.org/I4210153280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20805813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"12","first_page":"4777","last_page":"4790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5199000239372253},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.47130000591278076},{"id":"https://openalex.org/keywords/wait-for-graph","display_name":"Wait-for graph","score":0.3968999981880188},{"id":"https://openalex.org/keywords/distributed-transaction","display_name":"Distributed transaction","score":0.3684999942779541},{"id":"https://openalex.org/keywords/graph-algorithms","display_name":"Graph algorithms","score":0.3562000095844269},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.3479999899864197},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.34529998898506165},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.3052999973297119}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8407999873161316},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.47130000591278076},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4410000145435333},{"id":"https://openalex.org/C106891557","wikidata":"https://www.wikidata.org/wiki/Q4148051","display_name":"Wait-for graph","level":4,"score":0.3968999981880188},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3864000141620636},{"id":"https://openalex.org/C25185021","wikidata":"https://www.wikidata.org/wiki/Q4053284","display_name":"Distributed transaction","level":4,"score":0.3684999942779541},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35830000042915344},{"id":"https://openalex.org/C2986651925","wikidata":"https://www.wikidata.org/wiki/Q1514868","display_name":"Graph algorithms","level":3,"score":0.3562000095844269},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.3479999899864197},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.34529998898506165},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.3052999973297119},{"id":"https://openalex.org/C155951066","wikidata":"https://www.wikidata.org/wiki/Q5156254","display_name":"Compensating transaction","level":5,"score":0.3050999939441681},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.30329999327659607},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C32587265","wikidata":"https://www.wikidata.org/wiki/Q1182260","display_name":"Data deduplication","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C191558696","wikidata":"https://www.wikidata.org/wiki/Q137712","display_name":"Serializability","level":5,"score":0.2720000147819519},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C84511453","wikidata":"https://www.wikidata.org/wiki/Q2914952","display_name":"Concurrency control","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3750601.3750603","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3750601.3750603","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1971630691","https://openalex.org/W2006023152","https://openalex.org/W2054075931","https://openalex.org/W2068245803","https://openalex.org/W2074935284","https://openalex.org/W2077443691","https://openalex.org/W2090330503","https://openalex.org/W2113513143","https://openalex.org/W2117134415","https://openalex.org/W2145124007","https://openalex.org/W2269846677","https://openalex.org/W2296407087","https://openalex.org/W2426624872","https://openalex.org/W2432978112","https://openalex.org/W2888350430","https://openalex.org/W2946655760","https://openalex.org/W2948637333","https://openalex.org/W3020025580","https://openalex.org/W4251283131","https://openalex.org/W4281666535","https://openalex.org/W4399729085"],"related_works":[],"abstract_inverted_index":{"Mammoth":[0],"transactions,":[1,131],"which":[2,35],"involve":[3],"long-running":[4],"operations":[5,28],"that":[6,29,106],"access":[7],"many":[8],"items,":[9],"are":[10],"common":[11],"in":[12],"graph":[13,22,73,139],"workloads.":[14],"Graph":[15],"analytics":[16],"tasks,":[17],"including":[18,138],"pattern":[19],"matching":[20],"and":[21,54,135,142,161],"algorithms,":[23],"can":[24],"generate":[25],"large":[26],"read-write":[27],"impact":[30],"significant":[31],"portions":[32],"of":[33],"data,":[34],"makes":[36],"their":[37],"execution":[38,121],"challenging":[39],"under":[40],"strict":[41],"isolation":[42,53],"guarantees.":[43],"Consequently,":[44],"we":[45,68],"face":[46],"an":[47,71,114],"apparent":[48],"trade-off":[49],"between":[50,62],"ensuring":[51],"high":[52,56],"achieving":[55],"performance,":[57],"forcing":[58],"users":[59],"to":[60,79,90,167],"choose":[61],"the":[63],"two.":[64],"In":[65],"this":[66],"work,":[67],"present":[69],"TuskFlow,":[70],"experimental":[72],"database":[74],"based":[75],"on":[76,84],"Neo4j,":[77],"designed":[78],"efficiently":[80],"handle":[81],"mammoth":[82,120],"transactions":[83,110,160],"graphs":[85],"(the":[86],"technique":[87],"is":[88],"applicable":[89],"other":[91],"models":[92],"such":[93],"as":[94],"relational)":[95],"while":[96],"maintaining":[97],"existing":[98],"transactional":[99],"semantics.":[100],"TuskFlow":[101,132,156],"employs":[102],"a":[103],"deterministic":[104],"protocol":[105,117],"safely":[107],"reorders":[108],"regular":[109,130],"around":[111],"mammoths":[112],"within":[113],"epoch.":[115],"Our":[116,144],"supports":[118],"parallel":[119],"inspired":[122],"by":[123,165],"graph-parallel":[124],"algorithms.":[125],"To":[126],"minimize":[127],"conflicts":[128],"with":[129],"introduces":[133],"query-":[134],"workload-aware":[136],"optimizations,":[137],"entity":[140],"tagging":[141],"partitioning.":[143],"experiments":[145],"demonstrate":[146],"that,":[147],"unlike":[148],"traditional":[149],"protocols":[150],"like":[151],"two-phase":[152],"locking":[153],"or":[154],"MVCC,":[155],"avoids":[157],"blocking":[158],"write":[159],"improves":[162],"tail":[163],"latency":[164],"up":[166],"45\u00d7.":[168]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}