The Vision for Graph Database from Postgres
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AgensGraph is a multimodel graph database built on PostgreSQL, designed to provide insights through connected data with a schema-free structure. It allows users to leverage graph capabilities alongside existing relational databases without data migration, with a beta release planned for early 2020. The presentation covers features like scalability, hybrid models, and complex queries, emphasizing the synergy between AgensGraph and PostgreSQL.
The Vision for Graph Database from Postgres
- 1. The Vision for Graph Database from PostgreSQL
- 2. Speaker AgensGraphisa Multimodel Graph Database Built on Top of PostgreSQL. 1 - Bitnine Global Inc.
- 3. We Create Valuefor Our Clients by Connectingthe World's Data. 1. GraphDatabase 2. AgensGraphand Multimodel Feature 3. Demo - Asset Management System 4. Roadmap 5. Q&A
- 4. Graph Database 2 - What is Graph? Graph is composedofvertexes andedges thatrepresentsentities andrelationships amongthem.
- 5. 3 - Graph Database Whygraph database? and Whynow? To gain visionary insights throughnetworks ofdata in this hyper- connectedworld.
- 6. 4 -Schema- free Changes canbeeasily appliedto graphdatabasesinceit is schema-free. AgensGraphis multimodel database. It offers graphmodel (inadditionto relational,document,and key-valuemodel) whichis optimizedfor storing, processing, querying, andanalyzing highly connecteddata.
- 7. 5 - Multimodel Database 6 - Scalability Scalability bysize andcomplexity 7 - The Solution
- 8. 8 - AgensGraph Architecture 9 - Hybrid Model & Hybrid Query 10 - Foreign Data Wrapper
- 9. 11 - LDBC 12 - Complex Queries (Log- Scale)
- 10. 13 - LDBC Explained 14 - LDBC Explained 15 - LDBC Explained
- 11. andGraphThesynergyof PostgreSQL Database 16 - AgensGraph and PostgreSQL
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- 16. 19 - Demo Roadmap AgensGraph as a PostgreSQL Extension and more fromour clientsandpartners
- 17. It is time tounforkfrom PostgreSQL! Users can leverage graphdatabase along withtheirexisting relational databasewithminimal effort. • No datamigration • New versions of PostgreSQL Cypher queries canbe parsedandanalyzedby • calling a user-definedset-returning function
- 18. • making use of hooks Release Its betarelease is plannedforthe firsthalf of 2020.
- 19. AnyQuestions?