Building powerful apps with ArangoDB & KeyLines

Building Powerful Apps with
KeyLines & ArangoDB
Christian Miles & Luca Olivari - September 2017

Introductions
Christian Miles - Technical Sales Manager - Cambridge Intelligence
Since completing his Masters in Maths & Computer Science at Bristol University,
Christian has specialized in network visualization software for global enterprise
deployment.
In his roles at BAE Systems and the Wynyard Group, Christian’s focus has been applying
graph network analysis in Financial Crime, Cyber and Law Enforcement domains.
Luca Olivari - President - ArangoDB
Luca Olivari is a software executive and advisor with almost two decades of experience.
Before running the international Business Development and Strategy at MongoDB, he
led the MySQL Sales Consulting across EMEA at Oracle. Prior to joining ArangoDB, Luca
served as Chief Data Officer at ContactLab, a leading engagement marketing cloud
provider.

Agenda
○ Introductions
○ ArangoDB & the multi-model approach
○ Why ArangoDB?
○ Why visualize graphs?
○ Visualizing an IT Network with KeyLines & ArangoDB
○ How to integrate the two technologies
○ Q&A - submit your questions with the GoToWebinar panel

Copyright © ArangoDB GmbH, 2017 - Confidential
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Building powerful apps with
ArangoDB & KeyLines

ArangoDB is the fastest-growing native multi-model
NoSQL database. It combines the power of graphs,
with JSON documents and a key-value store and
makes all your data-models accessible with a single
elegant declarative query language.

Our mission:
Improve the productivity of every
developer on earth

Tame Complexity (eg Modern Ecommerce App)
4
Different Query Languages to Learn
Many Databases to Administer
Complex Code Base
Increased Costs
Productivity Hindered
One Query Language to Learn
One Database to Administer
Streamlined Code Base
Lower Total Cost of Ownership
Improved Productivity
Shopping Cart
Product Catalog
Recommendation
Transactions
Shopping Cart
Product Catalog
Recommendation
Transactions

Product Positioning
RelationshipComplexity
Data Complexity
5
Graph
Relational
Document
Columnar
Key Value

‣ Significant savings due to developer/
ops productivity and lower software
and hardware costs
‣ Reduced time to market with a single
core and query language to learn
‣ Further improvement in scalability and
security due to ArangoDB Enterprise
Improve Efficiency and Reduce Costs
ArangoDB Polyglot Savings
Developer Costs US$120.000 US$360.000 66,67%
Operational Costs US$10.000 US$20.000 50,00%
Licenses US$36.000 US$108.000 66,67%
Hardware US$15.000 US$60.000 75,00%
Total US$181.000 US$548.000 66,97%
6

‣ For a native multi-model database a
common query language for all data-
models is crucial
‣ AQL aims to be human-readable
‣ Easy to understand for anyone with a
SQL background
‣ Same language for all clients and a
vast choice of language bindings
Popular Connectors and SQL-like Querying
7
SELECT
orders.customer_id,
MIN(orders.amount)
FROM orders
GROUP BY
orders.customer_id
FOR o IN orders
COLLECT id = o.customer_id
AGGREGATE min = MIN(o.amount)
RETURN { id, min }

‣ ArangoDB is the first fully certified
database including the persistence
primitives for DC/OS
‣ Orchestration Systems such as
Mesosphere DC/OS, Docker Swarm, and
Kubernetes are the future
‣ ArangoDB's cluster resource
management offers an innovative two
layer approach
‣ Later this year we will also support
Kubernetes and Docker Swarm based on
our two layer approach
‣ ArangoDB is cooperating with
Mesosphere
Orchestration Systems Integration
•
February 7, 2017
Hewlett Packard Enterprise
Announces Global Reseller
Agreement with Mesosphere
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Single instance
Database
document writes
per vCPU/second
ArangoDB 1,730
Aerospike 2,500
Cassandra 965
Couchbase 1,375
FoundationDB 750
Cluster
0%
50%
100%
150%
200%
250%
300%
shortest path neighbors* neighbors
with data*
single read single write single write
sync
aggregation memory usage
ArangoDB MongoDB Neo4J OrientDB PostgreSQL PostgreSQL Tabular RethinkDB
lessisbetter
9

Use Cases
10
Datacenter &
Network Mgmt
Product & Asset
Catalogue
Single View
of Everything
Real-Time
Analytics
Bitcoin &
Blockchain
Recommendation
& Commerce
Security &
Fraud Detection
Geo-aware and
Localized Apps
Customer and
Content Mgmt

Exploit Connected Data with Visualization:
Modern applications require a new
approach to extract value from
connected-data and Keylines and
ArangoDB accelerate that.

KEYLINES

Graph Visualization Use Cases
Intelligence
Business Intelligence
Law Enforcement
IT Network Topology

Why Visualize Network Topologies?
Discovery:
To gain a greater
understanding of
network structure
Defense:
To proactively /
reactively respond to
threats to assets

Introducing KeyLines
• Cross-browser compatibility
• Flexible architecture
• A fast developer experience
• Rapid deployment
• Full customization
• Powerful functionality
A powerful SDK for building network
visualization web applications

Why ArangoDB & KeyLines?
- Multi-model flexibility
- Scalability
- Performance
- Support
- Security

KeyLines & ArangoDB - Architecture
ArangoDB
→ Installed on MacOS with brew install arangodb
→ Imported data into Arango with arangoimp
→ Reproducible load code with arangosh
ArangoDB Foxx Framework
→ Created keylines-foxx-service
KeyLines Application
→ Single page web app using your framework of choice
All code & data
available on
request!

Thank you
christian@keylines.com
Start a trial at keylines.com/try-keylines
Learn more at cambridge-intelligence.com/visualize-arangodb/
luca.olivari@arangodb.com
Download the free introductory graph course
www.arangodb.com/arangodb-graph-course/
Download ArangoDB www.arangodb.com/download/

Thank you!

Are there example Foxx REST endpoints to support a KeyLines UI? If using KeyLines, it would be
necessary to have Foxx endpoints to support actions like search, sorting, pagination of results,
etc.
How does ArangoDB differ from Neo4j in terms of graph features and scalability etc. Does
ArangoDB have a document store like MongoDB?
How do these two technologies scale as data increases in size?
We need working samples with ASP MVC/ .net framework, to port and compare some of our
apps. Does KeyLines support that?
What differentiates the graph approach compared to other data analysis methods?
Q&A

Building powerful apps with ArangoDB & KeyLines

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