SlideShare ist ein Scribd-Unternehmen logo
1 von 17
Downloaden Sie, um offline zu lesen
Comparing PGQL,G-Core, Cypher
Presentation at oCIM 4 on May 22-24, 2018
Stefan Plantikow (Neo4j)
Paper WG3 YTZ-030r1
Cypher
● Original (1st) declarative query language for property graphs
● "Ascii-Art" pattern syntax for graph matching
● SQL-like syntax
● Full DML
● DDL for constraints and indices
● Isomorphism by default
● Main language in actual use, 10 implementations, 5 products
● Planned: Multiple graphs, query composition, path patterns
PGQL
● Oracle's take on property graphs
● Pattern matching with "Ascii-Art"
● Path patterns / RPQs with macros
● Homomorphism by default
● Limited multiple graphs support
● 2 implementations, 1 product
G-Core
● LDBC's take on property graphs
● Core language only
● Pattern matching with "Ascii-Art"
● Path patterns / RPQs with macros
● Homomorphism by default
● Multiple graphs support
● Graph construction and graph query composition
● 1 research implementation
Shared Core
I Pattern matching using "Ascii-Art"
II Returns table or graph
III SQL-like syntax
IV Sequential flow with some binary operators (like UNION)
Shared Core
Scope
DQL (projecting tables and grraph construction)
DML (updating base data and views)
DDL (schema, constraints, indices)
Path variables
Cypher (+PGQL?) Immutable path values
G-Core Mutable path objects
Path patterns
Full RPQs
Possibly: CFGs
Handling costs
Syntax variations ("inline" vs "nested")
Predicates in nested RPQs
Binding variables
Configurable matching semantics
Cardinality (existence/single, top-k, enumeration)
Path length restriction (shortest, cheapest, heuristic (?))
Morphisms
● Homomorphism
● Node-isomorphism
● Edge-isomorphism
● Explicit isomorphism
Graph construction and views
How to express shared entities?
reference semantics via global identities or via provenance tracking
How to express construction?
patterns (G-Core) vs DML (Cypher 10 proposals)
How to update views?
precise semantics and allowed operations
How to handle schema?
required / inferred / optional
Details
Convergence
● Scope
All of it: DQL, DML, DDL :)
● Pattern matching
mainly consensus except for extent of RPQ support and syntactic details
● Path variables
accepted but concrete semantics needs to be decided
● Configurable matching semantics
Shortest, cheapest, homomorphism, support isomorphism
● Graph construction
accepted but details varying
Other open issues
● Order of clauses
○ Top-Down => Logical and proven for property graphs
○ Bottom-Up => Nice for SQL
● Default morphism
○ homomorphism by default for rigid patterns
○ shortest paths by default for variable length patterns
○ enumeration/reachability (?)
● Type system
○ "Nice subset" of SQL, GraphQL, SPARQL, Cypher, ...
○ Extensible
○ Unicode by default?
● Support for heterogenous typing and schema-optional graphs?
Other open issues
● Semantics of DML operations (e.g. MERGE)
● Schema model (Discussed as part of SQL work)
● SQL integration
Thank you
Link to paper

Weitere ähnliche Inhalte

Ähnlich wie Comparing PGQL, G-Core and Cypher

CS 354 Programmable Shading
CS 354 Programmable ShadingCS 354 Programmable Shading
CS 354 Programmable ShadingMark Kilgard
 
Data Integration Solutions Created By Koneksys
Data Integration Solutions Created By KoneksysData Integration Solutions Created By Koneksys
Data Integration Solutions Created By KoneksysKoneksys
 
Geospatial web services using little-known GDAL features and modern Perl midd...
Geospatial web services using little-known GDAL features and modern Perl midd...Geospatial web services using little-known GDAL features and modern Perl midd...
Geospatial web services using little-known GDAL features and modern Perl midd...Ari Jolma
 
No sql bigdata and postgresql
No sql bigdata and postgresqlNo sql bigdata and postgresql
No sql bigdata and postgresqlZaid Shabbir
 
8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force status
8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force status8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force status
8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force statusLDBC council
 
Spark Concepts - Spark SQL, Graphx, Streaming
Spark Concepts - Spark SQL, Graphx, StreamingSpark Concepts - Spark SQL, Graphx, Streaming
Spark Concepts - Spark SQL, Graphx, StreamingPetr Zapletal
 
Custom Pregel Algorithms in ArangoDB
Custom Pregel Algorithms in ArangoDBCustom Pregel Algorithms in ArangoDB
Custom Pregel Algorithms in ArangoDBArangoDB Database
 
Code-first GraphQL Server Development with Prisma
Code-first  GraphQL Server Development with PrismaCode-first  GraphQL Server Development with Prisma
Code-first GraphQL Server Development with PrismaNikolas Burk
 
Drill Lightning London Big Data
Drill Lightning London Big DataDrill Lightning London Big Data
Drill Lightning London Big DataMapR Technologies
 
WT-4073, ANGLE and cross-platform WebGL support, by Shannon Woods
WT-4073, ANGLE and cross-platform WebGL support, by Shannon WoodsWT-4073, ANGLE and cross-platform WebGL support, by Shannon Woods
WT-4073, ANGLE and cross-platform WebGL support, by Shannon WoodsAMD Developer Central
 
3D Geo-standaarden workshop
3D Geo-standaarden workshop3D Geo-standaarden workshop
3D Geo-standaarden workshopLéon Berlo
 
OpenGL Shading Language
OpenGL Shading LanguageOpenGL Shading Language
OpenGL Shading LanguageJungsoo Nam
 
Towards Automated Design Space Exploration and Code Generation using Type Tra...
Towards Automated Design Space Exploration and Code Generation using Type Tra...Towards Automated Design Space Exploration and Code Generation using Type Tra...
Towards Automated Design Space Exploration and Code Generation using Type Tra...waqarnabi
 
Substrait Overview.pdf
Substrait Overview.pdfSubstrait Overview.pdf
Substrait Overview.pdfRinat Abdullin
 

Ähnlich wie Comparing PGQL, G-Core and Cypher (20)

HTML5 & SVG in Cartography - Workshop
HTML5 & SVG in Cartography - WorkshopHTML5 & SVG in Cartography - Workshop
HTML5 & SVG in Cartography - Workshop
 
Neo4j graph database
Neo4j graph databaseNeo4j graph database
Neo4j graph database
 
Anything-to-Graph
Anything-to-GraphAnything-to-Graph
Anything-to-Graph
 
CS 354 Programmable Shading
CS 354 Programmable ShadingCS 354 Programmable Shading
CS 354 Programmable Shading
 
Data Integration Solutions Created By Koneksys
Data Integration Solutions Created By KoneksysData Integration Solutions Created By Koneksys
Data Integration Solutions Created By Koneksys
 
Geospatial web services using little-known GDAL features and modern Perl midd...
Geospatial web services using little-known GDAL features and modern Perl midd...Geospatial web services using little-known GDAL features and modern Perl midd...
Geospatial web services using little-known GDAL features and modern Perl midd...
 
No sql bigdata and postgresql
No sql bigdata and postgresqlNo sql bigdata and postgresql
No sql bigdata and postgresql
 
8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force status
8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force status8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force status
8th TUC Meeting - Peter Boncz (CWI). Query Language Task Force status
 
Spark Concepts - Spark SQL, Graphx, Streaming
Spark Concepts - Spark SQL, Graphx, StreamingSpark Concepts - Spark SQL, Graphx, Streaming
Spark Concepts - Spark SQL, Graphx, Streaming
 
Custom Pregel Algorithms in ArangoDB
Custom Pregel Algorithms in ArangoDBCustom Pregel Algorithms in ArangoDB
Custom Pregel Algorithms in ArangoDB
 
Code-first GraphQL Server Development with Prisma
Code-first  GraphQL Server Development with PrismaCode-first  GraphQL Server Development with Prisma
Code-first GraphQL Server Development with Prisma
 
Drill Lightning London Big Data
Drill Lightning London Big DataDrill Lightning London Big Data
Drill Lightning London Big Data
 
WT-4073, ANGLE and cross-platform WebGL support, by Shannon Woods
WT-4073, ANGLE and cross-platform WebGL support, by Shannon WoodsWT-4073, ANGLE and cross-platform WebGL support, by Shannon Woods
WT-4073, ANGLE and cross-platform WebGL support, by Shannon Woods
 
3D Geo-standaarden workshop
3D Geo-standaarden workshop3D Geo-standaarden workshop
3D Geo-standaarden workshop
 
Data quality in Real Estate
Data quality in Real EstateData quality in Real Estate
Data quality in Real Estate
 
OpenGL Shading Language
OpenGL Shading LanguageOpenGL Shading Language
OpenGL Shading Language
 
Graph databases
Graph databasesGraph databases
Graph databases
 
Towards Automated Design Space Exploration and Code Generation using Type Tra...
Towards Automated Design Space Exploration and Code Generation using Type Tra...Towards Automated Design Space Exploration and Code Generation using Type Tra...
Towards Automated Design Space Exploration and Code Generation using Type Tra...
 
TinkerPop 2020
TinkerPop 2020TinkerPop 2020
TinkerPop 2020
 
Substrait Overview.pdf
Substrait Overview.pdfSubstrait Overview.pdf
Substrait Overview.pdf
 

Mehr von openCypher

Learning Timed Automata with Cypher
Learning Timed Automata with CypherLearning Timed Automata with Cypher
Learning Timed Automata with CypheropenCypher
 
Incremental View Maintenance for openCypher Queries
Incremental View Maintenance for openCypher QueriesIncremental View Maintenance for openCypher Queries
Incremental View Maintenance for openCypher QueriesopenCypher
 
Formal semantics for Cypher queries and updates
Formal semantics for Cypher queries and updatesFormal semantics for Cypher queries and updates
Formal semantics for Cypher queries and updatesopenCypher
 
Cypher.PL: an executable specification of Cypher semantics
Cypher.PL: an executable specification of Cypher semanticsCypher.PL: an executable specification of Cypher semantics
Cypher.PL: an executable specification of Cypher semanticsopenCypher
 
Multiple Graphs: Updatable Views
Multiple Graphs: Updatable ViewsMultiple Graphs: Updatable Views
Multiple Graphs: Updatable ViewsopenCypher
 
Micro-Servicing Linked Data
Micro-Servicing Linked DataMicro-Servicing Linked Data
Micro-Servicing Linked DataopenCypher
 
Graph abstraction
Graph abstractionGraph abstraction
Graph abstractionopenCypher
 
From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...
From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...
From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...openCypher
 
Cypher for Gremlin
Cypher for GremlinCypher for Gremlin
Cypher for GremlinopenCypher
 
Multiple graphs in openCypher
Multiple graphs in openCypherMultiple graphs in openCypher
Multiple graphs in openCypheropenCypher
 
Eighth openCypher Implementers Group Meeting: Status Update
Eighth openCypher Implementers Group Meeting: Status UpdateEighth openCypher Implementers Group Meeting: Status Update
Eighth openCypher Implementers Group Meeting: Status UpdateopenCypher
 
Cypher for Gremlin
Cypher for GremlinCypher for Gremlin
Cypher for GremlinopenCypher
 
Supporting dates and times in Cypher
Supporting dates and times in CypherSupporting dates and times in Cypher
Supporting dates and times in CypheropenCypher
 
Seventh openCypher Implementers Group Meeting: Status Update
Seventh openCypher Implementers Group Meeting: Status UpdateSeventh openCypher Implementers Group Meeting: Status Update
Seventh openCypher Implementers Group Meeting: Status UpdateopenCypher
 
Academic research on graph processing: connecting recent findings to industri...
Academic research on graph processing: connecting recent findings to industri...Academic research on graph processing: connecting recent findings to industri...
Academic research on graph processing: connecting recent findings to industri...openCypher
 
Property Graphs with Time
Property Graphs with TimeProperty Graphs with Time
Property Graphs with TimeopenCypher
 
Cypher.PL: Executable Specification of Cypher written in Prolog
Cypher.PL: Executable Specification of Cypher written in PrologCypher.PL: Executable Specification of Cypher written in Prolog
Cypher.PL: Executable Specification of Cypher written in PrologopenCypher
 
Use case: processing multiple graphs
Use case: processing multiple graphsUse case: processing multiple graphs
Use case: processing multiple graphsopenCypher
 
openCypher Technology Compatibility Kit (TCK)
openCypher Technology Compatibility Kit (TCK)openCypher Technology Compatibility Kit (TCK)
openCypher Technology Compatibility Kit (TCK)openCypher
 
Cypher Editor in the Web
Cypher Editor in the WebCypher Editor in the Web
Cypher Editor in the WebopenCypher
 

Mehr von openCypher (20)

Learning Timed Automata with Cypher
Learning Timed Automata with CypherLearning Timed Automata with Cypher
Learning Timed Automata with Cypher
 
Incremental View Maintenance for openCypher Queries
Incremental View Maintenance for openCypher QueriesIncremental View Maintenance for openCypher Queries
Incremental View Maintenance for openCypher Queries
 
Formal semantics for Cypher queries and updates
Formal semantics for Cypher queries and updatesFormal semantics for Cypher queries and updates
Formal semantics for Cypher queries and updates
 
Cypher.PL: an executable specification of Cypher semantics
Cypher.PL: an executable specification of Cypher semanticsCypher.PL: an executable specification of Cypher semantics
Cypher.PL: an executable specification of Cypher semantics
 
Multiple Graphs: Updatable Views
Multiple Graphs: Updatable ViewsMultiple Graphs: Updatable Views
Multiple Graphs: Updatable Views
 
Micro-Servicing Linked Data
Micro-Servicing Linked DataMicro-Servicing Linked Data
Micro-Servicing Linked Data
 
Graph abstraction
Graph abstractionGraph abstraction
Graph abstraction
 
From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...
From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...
From Cypher 9 to GQL: Conceptual overview of multiple named graphs and compos...
 
Cypher for Gremlin
Cypher for GremlinCypher for Gremlin
Cypher for Gremlin
 
Multiple graphs in openCypher
Multiple graphs in openCypherMultiple graphs in openCypher
Multiple graphs in openCypher
 
Eighth openCypher Implementers Group Meeting: Status Update
Eighth openCypher Implementers Group Meeting: Status UpdateEighth openCypher Implementers Group Meeting: Status Update
Eighth openCypher Implementers Group Meeting: Status Update
 
Cypher for Gremlin
Cypher for GremlinCypher for Gremlin
Cypher for Gremlin
 
Supporting dates and times in Cypher
Supporting dates and times in CypherSupporting dates and times in Cypher
Supporting dates and times in Cypher
 
Seventh openCypher Implementers Group Meeting: Status Update
Seventh openCypher Implementers Group Meeting: Status UpdateSeventh openCypher Implementers Group Meeting: Status Update
Seventh openCypher Implementers Group Meeting: Status Update
 
Academic research on graph processing: connecting recent findings to industri...
Academic research on graph processing: connecting recent findings to industri...Academic research on graph processing: connecting recent findings to industri...
Academic research on graph processing: connecting recent findings to industri...
 
Property Graphs with Time
Property Graphs with TimeProperty Graphs with Time
Property Graphs with Time
 
Cypher.PL: Executable Specification of Cypher written in Prolog
Cypher.PL: Executable Specification of Cypher written in PrologCypher.PL: Executable Specification of Cypher written in Prolog
Cypher.PL: Executable Specification of Cypher written in Prolog
 
Use case: processing multiple graphs
Use case: processing multiple graphsUse case: processing multiple graphs
Use case: processing multiple graphs
 
openCypher Technology Compatibility Kit (TCK)
openCypher Technology Compatibility Kit (TCK)openCypher Technology Compatibility Kit (TCK)
openCypher Technology Compatibility Kit (TCK)
 
Cypher Editor in the Web
Cypher Editor in the WebCypher Editor in the Web
Cypher Editor in the Web
 

Kürzlich hochgeladen

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Zilliz
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 

Kürzlich hochgeladen (20)

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 

Comparing PGQL, G-Core and Cypher

  • 1. Comparing PGQL,G-Core, Cypher Presentation at oCIM 4 on May 22-24, 2018 Stefan Plantikow (Neo4j)
  • 3. Cypher ● Original (1st) declarative query language for property graphs ● "Ascii-Art" pattern syntax for graph matching ● SQL-like syntax ● Full DML ● DDL for constraints and indices ● Isomorphism by default ● Main language in actual use, 10 implementations, 5 products ● Planned: Multiple graphs, query composition, path patterns
  • 4. PGQL ● Oracle's take on property graphs ● Pattern matching with "Ascii-Art" ● Path patterns / RPQs with macros ● Homomorphism by default ● Limited multiple graphs support ● 2 implementations, 1 product
  • 5. G-Core ● LDBC's take on property graphs ● Core language only ● Pattern matching with "Ascii-Art" ● Path patterns / RPQs with macros ● Homomorphism by default ● Multiple graphs support ● Graph construction and graph query composition ● 1 research implementation
  • 6. Shared Core I Pattern matching using "Ascii-Art" II Returns table or graph III SQL-like syntax IV Sequential flow with some binary operators (like UNION)
  • 8. Scope DQL (projecting tables and grraph construction) DML (updating base data and views) DDL (schema, constraints, indices)
  • 9. Path variables Cypher (+PGQL?) Immutable path values G-Core Mutable path objects
  • 10. Path patterns Full RPQs Possibly: CFGs Handling costs Syntax variations ("inline" vs "nested") Predicates in nested RPQs Binding variables
  • 11. Configurable matching semantics Cardinality (existence/single, top-k, enumeration) Path length restriction (shortest, cheapest, heuristic (?)) Morphisms ● Homomorphism ● Node-isomorphism ● Edge-isomorphism ● Explicit isomorphism
  • 12. Graph construction and views How to express shared entities? reference semantics via global identities or via provenance tracking How to express construction? patterns (G-Core) vs DML (Cypher 10 proposals) How to update views? precise semantics and allowed operations How to handle schema? required / inferred / optional
  • 14. Convergence ● Scope All of it: DQL, DML, DDL :) ● Pattern matching mainly consensus except for extent of RPQ support and syntactic details ● Path variables accepted but concrete semantics needs to be decided ● Configurable matching semantics Shortest, cheapest, homomorphism, support isomorphism ● Graph construction accepted but details varying
  • 15. Other open issues ● Order of clauses ○ Top-Down => Logical and proven for property graphs ○ Bottom-Up => Nice for SQL ● Default morphism ○ homomorphism by default for rigid patterns ○ shortest paths by default for variable length patterns ○ enumeration/reachability (?) ● Type system ○ "Nice subset" of SQL, GraphQL, SPARQL, Cypher, ... ○ Extensible ○ Unicode by default? ● Support for heterogenous typing and schema-optional graphs?
  • 16. Other open issues ● Semantics of DML operations (e.g. MERGE) ● Schema model (Discussed as part of SQL work) ● SQL integration