Due to the 4th Industrial Revolution, the IT industry is making continuous progress. However, flood of unstructured big data through various devices are pouring in and the customers’ needs are becoming more complicated than ever. Although PostgreSQL is definitely an enterprise-class, high quality DBMS, several options require some reviews to meet the various purposes of corporate users. In this session, we will introduce the concept of Graph Database (which has strength in relation-based data analysis during this hyper-connected era) and the synergy effect in combination of Postgres and NoSQL (Graph Database). Discover a direction of Postgres’ unlimited scalability.

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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13. 17 - Asset
Management

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15. 18 -`

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?

20. Let'sconnect:
Email:eya.abdisho@bitnine.net| jsyang@bitnine.net
Linkedin:https://www.linkedin.com/in/agens-graph-673504186/
Phone: 4089663301