This webinar covered graph databases and how they can solve problems that were previously difficult for traditional databases. It included presentations on why graph databases are useful, common use cases like recommendations and network analysis, different types of graph databases, and a demonstration of the DataStax Enterprise graph database. There was also a question and answer session where attendees could ask about graph databases and DataStax Enterprise graph.

1. Webinar | Bloor Research & DataStax : How graph databases solve
previously unsolvable business and technology challenges
December 8th 2016
Philip Howard, Research Director, Bloor Research International
Jonathan Lacefield, Product Manager, DataStax

2. 1 Welcome & Introductions, Andrea Cross, DataStax
2 Graph Databases: Why & Which? Philip Howard,
Bloor Research International
3 Fireside Chat, Philip Howard & Jonathan Lacefield
4 DataStax Enterprise Graph, Jonathan Lacefield,
DataStax
5 Q & A Wrap Up, Andrea Cross
2© DataStax, All Rights Reserved.

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Graph databases:
why and which?
Philip Howard
Research Director

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• Do you have a graph problem?
• Use cases
• Types of graph database
Agenda

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What is a graph?
Not this This

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Why not relational?
When it’s less about the data and more about the
relationships

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Problems with complexity
BoM: Trunnion mounted ball
valves

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=> poor performance/scale
Multiple self joins are often an
issue

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Use case 1: multiple self joins
A fraud ring: an example of network
analysis –
there are lots of other such use cases

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Use case 2: MDM and Customer 360º

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Use case 3: recommendations
Products, dates, hotels,
movies.

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Use case 4: research

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Use case 5: PageRank
Many other graph
algorithms

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Use case 6: text analysis

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Use case 7: data unification

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• Two fundamental types:
• Property graphs
• RDF (resource description framework) Graphs
• Distinction is often not clear-cut
• Native versus non-native databases
• Implementation specific
• Multi-model databases
• Implementation specific
Types of graph database

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• Text processing/semantics
• Search engines, sometimes ontologies
• Sometimes text mining
• Reasoning functions (OWL)
• Typically query the graph
• Oblivious to data (un)structure
• SPARQL query language
• Tend to be used for complex analytics (but
all graph databases support analytics)
RDF databases

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• Typically as replacements for rdbms
where relational technology cannot perform
• Good for MDM, Recommendations,
Network analytics, Customer 360º…
• Starting point is structured data but
unstructured also
• Traverse the graph rather than query it
• Use Gremlin, Apache Tinkerpop and/or
proprietary versions of (extended) SQL
Property graphs

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• Two specialised variants:
• Graph “compute” engines for complex analytics
and cognitive computing
• Unification graph databases
• Specialised niches
• E.g. Cybersecurity
Other options

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Further resources
See: www.bloorresearch.com/technology/graph-databases/

21. Fireside Chat
Jonathan Lacefield,
DataStax
Philip Howard, Bloor
Research

22. DataStax Enterprise Graph

23. Founded in April 2010
500+
Santa Clara, San Francisco, Austin,
London, Paris, Berlin, Tokyo, Sydney
400+
Employees Customers
30+
Percent
Overview
Ranked #1 in multiple operational database categories

24. 24
© DataStax, All Rights Reserved.
DataStax Enterprise (DSE)
The database for cloud applications

25. • Make sense of complex, seemingly unconnected
data
• Scale-out graph database
• Built on Apache TinkerPopTM
• Build quickly, with a consistent skill set
• Graph support within DSE
• Engineered for Apache CassandraTM
• Part of DSE’s multi-model platform
• Achieve instant insight
• Real-time search and analytic queries
© DataStax, All Rights Reserved.
DSE Graph – Scale Out Power for Graph

26. © DataStax, All Rights Reserved.
Expero uses DSE Graph to manage role-based asset
access to improve efficiency and compliance.

27. Q&A

28. Contacts & Resources
● Download DSE Graph
http://www.datastax.com/products/datastax-enterprise-graph
● Read the Documentation
http://docs.datastax.com/en/latest-dse/datastax_enterprise/graph/graphTOC.html
● Take DataStax Academy Training
DS330 – DataStax Graph https://academy.datastax.com/courses/ds330-datastax-enterprise-graph
● Join the DataStax Professionals Community Conversation
https://academy.datastax.com/slack
linkedin.com/company/datastax
linkedin.com/in/jlacefield
linkedin.com/in/philip-howard-08a763
@BloorResearch
@jlacefie
@DataStax
© 2015 DataStax, All Rights Reserved. 28

29. THANK YOU!
© 2015 DataStax, All Rights Reserved. 29