What's new at Neo4j?

1. Neo4j:
WHAT’S NEW?
Dr. Jim Webber
Chief Scientist - Neo4j

2. The Evolution of Databases

3. The Evolution of Databases
TRADITIONAL OLTP/RELATIONAL

4. The Evolution of Databases
TRADITIONAL OLTP/RELATIONAL BIG DATA TECHNOLOGY

5. The Evolution of Databases
TRADITIONAL OLTP/RELATIONAL BIG DATA TECHNOLOGY

6. The Evolution of Databases
TRADITIONAL OLTP/RELATIONAL BIG DATA TECHNOLOGY

7. What Is Different in Neo4j?
Index-Free Adjacency

8. Requirements of Next Gen Applications

9. Multi-tenancy with Neo4j 4.0

10. • B2B SaaS: Greatly simplified management of DB infrastructure for your
customers.
• Multi-tenancy: A single instance of Neo4j Server/Cluster may serve
multiple customers/users within an organization.
• Rapid Testing/Development/Deployment: Manage separate databases for
development, testing, staging, etc. in a single infrastructure.
• Scalability: Disjoint data is organized in physically separate structures,
strong isolation.
• Cloud-Friendly: Databases can be associated to cloud storage and easily
detached from a server and attached to another server.
Multi-Database Use Cases

11. Administration commands:
● CREATE|DROP|START|STOP DATABASE name
Use commands:
● HTTP API: http://server:port/.../database
● Browser & Cypher Shell: :USE database
● Drivers: Session(database)
● Browser:
Easy administration

12. Horizontal Scale in Neo4j 4.0

13. Causal Clustering with Neo4j

14. Modeling with Multi-Database

15. Distributed Graph Query

16. Multi-graph Cypher Queries
MATCH (boss)-[:MANAGES*0..3]->(sub), (sub)-[:MANAGES*1..3]->(report)
WHERE boss.name = “John Doe”
RETURN sub.name AS Subordinate, count(report) AS Total
UNWIND corporate.graphIds() AS gid
CALL {
USE corporate.graph( gid )
MATCH (boss)-[:MANAGES*0..3]->(sub),
(sub)-[:MANAGES*1..3]->(report)
RETURN boss.name AS Boss,
sub.name AS Subordinate,
count(report) AS Total
}
RETURN Boss, Subordinate, Total ORDER BY Total

17. Neo4j 4.0 Scalability in Action
Sharding the LDBC Social Network Benchmark

18. Neo4j 4.0 Scalability in Action
Sharding the LDBC Social Network Benchmark

19. Security and Data Privacy
Baseline_Personnel
_Security_Standard
Security_Check Counter_Terrorism
_Check
Developed_Vetting

20. Security and Data Privacy in Practice

21. • Call Centre Agent needs Doctor’s name but mustn't read diagnosis
• Doctor should be able to view patient records and diagnoses
Constraints

22. // Doctors get wide-ranging access
GRANT ACCESS ON DATABASE healthcare TO doctor;
GRANT TRAVERSE ON GRAPH healthcare TO doctor;
GRANT READ {*} ON GRAPH healthcare TO doctor;
GRANT WRITE ON GRAPH healthcare TO doctor;
Security Config
// Agents get narrower access
GRANT ACCESS ON DATABASE healthcare TO agent;
GRANT TRAVERSE {*} ON GRAPH healthcare TO agent;
GRANT READ {Name} ON GRAPH healthcare NODES
Doctor TO agent;
GRANT READ {Name} ON GRAPH healthcare NODES
Patient TO agent;

23. Call Centre Agent
MATCH (:CallcenterAgent {name: 'Alice'})
<-[:CALLED]-(p:Patient)-[:HAS_DIAGNOSIS]-(dia)
<-[:ESTABLISHED]-(d:Doctor)
RETURN p.name, d.name, dia.name;

24. Reactive Programming with Neo4j 4.0

25. • Flow control throughout the stack, allowing for the client application to fully control the
production and flow of records within a result
• Synchronous/Asynchronous execution
• Based on reactive streams with non-blocking backpressure library
• Client applications can pull or discard the whole result or N elements
• Can also be gracefully cancelled
• Exposed through a reactive API in Drivers v4.0
• Use Cases:
• Long queries with large result sets
• Paged results
• Thin/small clients
Reactive Architecture

26. Reactive Stack

27. String query = "MATCH (a:Person) RETURN a.name";
try (Session session = driver.session()) {
StatementResult result = session.run(query);
while (result.hasNext()) {
Record record = result.next();
String name = record.get(0).asString();
if (name.equals("Emil Eifrem")) {
break; // Looks ok, but whoops!
}
System.out.println(name);
}
}
Neo4j 3.x versus 4.0
String query = "MATCH (a:Person) RETURN a.name";
return Flux.using(driver::rxSession,
session -> {
RxStatementResult result = session.run(query);
return Flux.from(result.records())
.limitRate(10)
.map(record -> record.get(0).asString())
.takeUntil(name ->
name.equals("Emil Eifrem"))
.doOnNext(System.out::println)
.then( /* discard example records */ );
}, RxSession::close);

28. The Largest Investment in Graph Databases
Neo4j 4.0

29. Get Neo4j 4.0 right now
https://neo4j.com/download

35. Neo4j Aura
● Zero Administration
● On-Demand Scaling
● Simple, capacity-based
pricing
● Always-On and self-healing,
clustered configuration
● Data Integrity & Durability
● Secure including end-to-end
encryption
● Native graph performance
● World’s most popular graph
query language
● Broad language support -
drivers for Java, .NET,
JavaScript, Python, Go, Spring,
etc.

36. Explore & Collaborate
with Neo4j Bloom
Explore Graphs Visually
Prototype Concepts Faster
Collaborate Across Teams

37. Neo4j Bloom’s Intuitive User Interface
Search with type-ahead
suggestions
Flexible Color, Size and
Icon schemes
Visualize, Explore and
Discover
Pan, Zoom and Select
Property Browser and
editor

38. What’s New in Bloom 1.2
Flexible colors and sizes Style using properties
Expand by relationship or
neighbor type
Case insensitive search Specify parameter types Export csv data

41. Optimized for Analytics Algorithms for Insights Intuitive Interface
The Graph Algos Library becomes the Graph Data Science Library

42. Which algorithms?
Parallel BFS
Parallel DFS
Shortest Path
Single Source Shortest
path
All Pairs Shortest Path
Minimum Spanning Tree
A* Shortest Path
Yen’s K-Shortest Path
Minimum Spanning Tree
Random Walk
Degree Centrality
Closeness Centrality
(inc. harmonic,
Dangalchev, Wasserman
& Faust)
Betweenness Centrality
Approx. Betweenness
Centrality
Page Rank
Personalized Page Rank
ArticleRank
Eigenvector Centrality
Triangle Count
Clustering Coefficients
Connected Components
(aka Union Find)
Strongly Connected
Components
Label Propagation
Louvain Modularity
Balanced Triad
Adamic Adar
Common Neighbours
Preferential Attachment
Resource Allocations
Same Community
Total Neighbours
Euclidean Distance
Cosine Similarity
Jaccard Similarity
Overlap Similarity
Pearson Similarity
Approximate KNN

44. • Graph data science library
• Bloom 1.2
• with rule-based styling
• https://neo4j.com/sandbox/
Sandbox now available!

45. Neo4j 4.0-all-the-things!
Ready Today:
• Java, .NET, JavaScript, Spring Data Neo4j Drivers ✅
• Neo4j Desktop ✅
• Neo4j Browser ✅
Work in Progress:
• Python (Q2) & Go (Q4) - Coming!
• Graph Data Science Library (Q2) - Coming!
• Bloom Q2 - Coming!
• Aura (Q2) - Coming!

46. THANK YOU!
@jimwebber