Neo4j Aura on AWS: The Customer Choice for Graph Databases

The State of the Data and Analytics Market
Srinivas Kesanapally
Senior Manager, Partner Solution
Architecture, Data and Analytics
Amazon Web Services (AWS)

Explosion of data Explosion of personas Demand for faster
decision-making on
real-time data
Key trends that impact the way we think about analytics

The pace of disruptive innovation is increasing
…yet only about 1 in 6 of them believe they are
responding with a bold strategy at scale
9 out of 10 companies believe their industry will
be digitally disrupted…
Source: McKinsey, https://www.mckinsey.com/mgi/overview/in-the-news/the-right-response-to-digital-disruption

Traditional analytics approach don’t scale
Data silos
OLTP ERP CRM LOB
DW Silo 1
Business
intelligence
Devices Web sensors Social
DW Silo 2
Business
intelligence
Relational data
TBs–PBs scale
Schema defined prior to data load
Operational reporting and ad hoc
Large initial CAPEX + $10K $50K/TB/Year

Designed for the new reality
Cloud-optimized: Architect services ground-up for
the cloud and for the explosion of data
Purpose-built: Offer a portfolio of purpose-built
services, optimized for your workloads
Fully managed: Help you innovate faster
through managed services
Now used by a very large number of customers
for mission-critical applications

Graph Databases
“By 2025, graph technologies will be used in 80% of data and
analytics innovations, up from 10% in 2021, facilitating rapid
decision making across the enterprise.” *
* Top 10 Tech Trends in Data and Analytics, 16 Feb 2021
Rita Sallam et al

Neo4j on AWS | Better Together

Building Modern Apps on Aura
Getting started with development quickly

M. David Allen
Global Lead Cloud Architect
@mdavidallen

The Journey
1. Get a database set up - free or cheap!
2. Figure out how to ﬁll it with data
3. Figure out how to query and update it
4. Release an app!
5. Operate the app for the long haul

Neo4j, Inc. All rights reserved 2021
4
Log in
Google Neo4j Aura

5
Create a database
Choose Corporate Login

6
Create a database
Choose Corporate Login

7
Remember the user/pass
Give it a name

8
Bloom and Browser
Ready to get to work
• Visualisation tools
• Bloom:
• For analysts
• Beautiful, hardware
accelerated view of the graph
• Driven by Google-style
queries, assisted by the graph
structure
• Browser
• Developer-oriented REPL
• Prototype and proﬁle queries

9
Application code
Import a DB Dump

10
Browser
Bloom
Google-style queries in
prose, with feedback
from graph and indexes
Cypher query language

12
Detailed application architecture

13
Where are the servers?
• The Neo4j server is host by Aura
• But where are the GraphQL and
Web servers?
• We could create servers for these
the old-fashioned way
• But we can delegate this to the
cloud too, using serverless

16
Build-Deploy to Serverless Platform

19
MoneyFlow.js
<Query
query={QUERY}
variables={{
first: this.state.rowsPerPage, offset: this.state.rowsPerPage * this.state.page, country:
this.state.countryFilter,
orderBy: this.state.orderBy + "_" + this.state.order}} >
{({ loading, error, data }) => {
if (loading) return <p style={{ padding: "7px" }}>Loading...</p>;
if (error) return <p style={{ padding: "7px" }}>Error</p>;
return (
<div>
<Table className={this.props.classes.table}>
<TableHead>
<TableRow>
<TableCell key="fromCountry” sortDirection={ orderBy === "fromCountry" ? order : false }>
…
</Query>
</Paper>

20
GraphQL Types for the API
type Transfer {
_id: Long!
date: Date!
id: String!
value: Float!
of_player: [Player]
@relation(name: "OF_PLAYER",
direction: "OUT")
from_club: [Club]
@relation(name: "FROM_CLUB",
direction: "OUT")
to_club: [Club]
@relation(name: "TO_CLUB",
direction: "OUT")
}
type SpendingByClub {
club: String
clubImage: String
country: String
countryImage: String
moneySpent: Int
moneyReceived: Int
profit: Int
}

21
@cypher Directive
type Query {
spendingByClub(countrySubstring: String = ""): [SpendingByClub]
@cypher(
statement: """MATCH (club:Club)-[*2]->(country:Country)
WHERE country.name CONTAINS $countrySubstring
WITH club, country,
apoc.coll.sumLongs([(club)<-[:TO_CLUB]-(t) | t.value]) AS moneyOut,
apoc.coll.sumLongs([(club)<-[:FROM_CLUB]-(t) | t.value]) AS moneyIn
RETURN { club: club.name, clubImage: club.image, country: country.name,
countryImage: country.image, moneySpent: moneyOut,
moneyReceived: moneyIn, profit: moneyIn - moneyOut}"""
)
…
}

22
Prototyped in the REPL (of course)

23
Serverless?
Graphless?
• Aura means you can choose
to be serverless
• You get a managed service
◦ With elasticity
• But you don’t have to run
graph infrastructure
yourselves
◦ Keep it up to date
◦ Backups
◦ Continuous uptime
◦ Monitoring
• No.This is an app that uses a
graph
◦ You’ve built apps that use
other data models, this is the
same
• You don’t have to show the
graph
◦ For most apps you don’t
◦ For most analytics you can
◦ For most dev you do

24
Building GRANDstack Apps
• Full MEAP now available
• Learn from Will Lyon how
to build GraphQL apps
• Serverless, GraphQL
based systems
https://neo4j.com/docs/graphql-manual/current/

25
Building Regular Apps
• You focus on your
application and your data
model
• You choose your
frameworks, servers (or
not), etc
• Aura frees you from
managing the data tier

Available on AWS and GCP Today
Azure Early ’22

Thank you
David Allen
david.allen@neo4j.com

Neo4j Aura on AWS: The Customer Choice for Graph Databases

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Neo4j Aura on AWS: The Customer Choice for Graph Databases