Google Pregel

GPTKB entity

Properties (50)
Predicate Object
gptkbp:instanceOf gptkb:Database_Management_System
gptkbp:basedOn Bulk Synchronous Parallel (BSP) model
gptkbp:designedFor large-scale graph processing
gptkbp:developedBy gptkb:Google
gptkbp:enables iterative graph algorithms
gptkbp:firstPublished 2010
gptkbp:hasCitations real-time updates
gptkbp:hasFacilities gptkb:Apache_Spark_GraphX
gptkb:Apache_Giraph
gptkb:GraphLab
gptkbp:hasRelatedPatent telecommunications
financial services
biological network analysis
https://www.w3.org/2000/01/rdf-schema#label Google Pregel
gptkbp:influencedBy MapReduce paradigm
gptkbp:isAvailableIn gptkb:Google_Cloud_Platform
gptkbp:isCompatibleWith gptkb:Hadoop_ecosystem
gptkbp:isDocumentedIn Google_Research_papers
gptkbp:isFacilitatedBy dynamic graphs
gptkbp:isFiledIn gptkb:Java
gptkbp:isIntegratedWith gptkb:Dataflow
TensorFlow
BigQuery
gptkbp:isOptimizedFor distributed computing environments
gptkbp:isPartOf gptkb:Google's_Big_Data_ecosystem
other graph processing frameworks
Google's_research_initiatives
gptkbp:isRelatedTo artificial intelligence
machine learning
data mining
graph theory
gptkbp:isSuitableFor real-time data processing
thousands of machines
gptkbp:isSupportedBy Google's_infrastructure
gptkbp:isUsedBy large enterprises
research institutions
gptkbp:isUsedFor graph traversal
centrality measures
community detection
pathfinding algorithms
gptkbp:isUsedIn graph analytics
recommendation systems
social network analysis
gptkbp:isUtilizedIn academic research
gptkbp:mayHave billions of edges
gptkbp:provides fault_tolerance
gptkbp:requires distributed file systems
gptkbp:supports vertex-centric programming model
custom vertex and edge data types
gptkbp:uses message passing