Introduction to graph database

1. Graph Database
By
Hardik Jain
Developer
Allerin Tech Pvt Ltd

2. What is Graph Database ?
Why Graph Database ?

3. Graph Database

4. Power of Graph Databases
● Performance
● Flexibility
● Agility

5. Performance comparison
Depth RDBMS Execution time Neo4j execution time Records returned
2 0.016 0.01 ~2500
3 30.267 0.168 ~110,000
4 1543.505 1.359 ~600,000
5 Unfinished 2.132 ~800,000

6. Relational database is not good for
relationship data - join

7. Cypher Query
Cypher query clauses
● START
● MATCH
● RETURN
● WHERE
● CREATE
● DELETE
● SET
● UNION

8. ● Beginning a Query
START clause is used to begin a cypher query
● Declaring Information Patterns to Find
START english = node:language(name = ‘English’)
berlin = node:city(name = ‘Berlin’)
korth = node:author(name = 'korth')
MATCH () - [:KNOWS] - > (english) - [:LIVES_IN] -> (berlin) - [:read] ->(book) -
[:wrritten_by]- > (korth)
RETURN book.title AS title

9. ● Constraining Matches
For constraint matching WHERE clause is used
● Processing Results
The RETURN clause in cypher is used to return the query results.
START english = node:language(name = ‘English’)
berlin = node:city(name = ‘Berlin’)
korth = node:author(name = 'korth')
MATCH () - [:KNOWS] - > (english) - [:LIVES_IN] -> (berlin) - [:read] -> (book) -
[:wrritten_by]- > (korth)
WHERE book.publication_year > 2000
RETURN book.title AS title

10. Conclusion
● It is best suited for multi relation applications.
● Used by following companies.
● Gartner
● eBay
● Walmart
● telenor ..etc

11. Thank You!