The DBMS market trends focused on the Graph DBMS. The benefit of the Graph Database and its forecasted the growth rate. The Advice from the renowned market research institute.

1. DBMS Market Trends
- Graph Database -

2. (graphians)-[:MEETUP]->(GDBinSV)
meetup.com/Graph-Database-in-Silicon-Valley/
Joshua BAE, Organizer
joshuayb@gmail.com

3. Agenda
• 6:30 - 7:15 Food, refreshments, and mingling
• 7:15 - 7:20 Greeting
• 7:20 - 7:30 Graph Database Market Trend
• 7:30 - 8:00 A Talk on the Graph Database with tutorials
- Introduction to the Graph databases and Cypher Query Language
- Comparison of the SQL and the Cypher implementations
• 8:00 - 8:20 Q&A / Discussion
- Suggestions on the Meetup
• 8:20 - 8:30 Closing
- 3rd Meetups schedule

4. ( Bitnin)-[:Sponsors]->(GDBinSV)

6. Bitnine’s Graph Database
PostgreSQL + Cypher Query Language

8. (graphians)-[:MEETUP]->(GDBinSV)
Joshua BAE, Organizer
joshuayb@gmail.com

9. DBMS Market Trends
- Graph Database -

10. 1) Karen Lopez (March 2015), Your Master Data Is a Graph: Are You Ready?, InfoAdvisors
Ideal Organization Organization in Reality
The actual business environment is graph.Traditional Organization Chart

11. Example: Relational DataModel
Relational Model
2) Kisung Kim, What is Graph Database?

12. Example: Graph DataModel

13. The traditional DBMS’s have limits in identifying dynamics between the entities when they handle the multiple
relationships across the entities. Imagine how many tables and joins will be required to return a single result.
3) www.slideshare.net/JoshuaBae/gd-bin-sv1stmeetup09082016

14. Graph DB awareness
 By the end of 2018, 70% of leading
organizations will have one or more pilot or
proof-of-concept efforts underway utilizing
graph database. (Gartner)

15.  It is reported that graph databases
— the fastest growing category in
database management systems —
will reach more than a quarter of
enterprises by 2017. (Forrester
Research )
Graph DB awareness
Graph DB
25%

16. 4) http://db-engines.com/en/ranking_categories

17. DB Engine Ranking Method
• Number of mentions Google, Bing and Yandex, Google Trends, Twitter
• Frequency of technical discussions Stack Overflow and DBA Stack Exchange.
• Number of job offers, Indeed and Simply Hired.
• Number of profiles LinkedIn and Upwork.
The DB-Engines Ranking does not measure the number of installations of the systems, or
their use within IT systems. the DB-Engines Ranking can act as an early indicator.

18. 5) http://db-engines.com/en/ranking_trend

19. 6) The Forrester Wave™: Big Data NoSQL, Q3 2016

20. 1.5
0.9
1.5 1.5
0.6
1.2
0.3
AMAZON DYNAMODB DATASTAX MARKLOGIC MONGODB NEO TECHNOLOGY ORACLE ORIENTDB
Product Revenue
Product revenue
The scores are multiplied by the ‘Forrester weight’.

21. 1.25
0.75
1.25 1.25
0.75
1.25
0.75
AMAZON DYNAMODB DATASTAX MARKLOGIC MONGODB NEO TECHNOLOGY ORACLE ORIENTDB
Install Base
Install base
The actual installation count of the survey respondents with 100 or more employees.

22. 1.5
1.2 1.2
1.5 1.5
1.2
0.9
AMAZON DYNAMODB DATASTAX MARKLOGIC MONGODB NEO TECHNOLOGY ORACLE ORIENTDB
Market Awarness
Market awareness
Based on the survey responses from 3,343 companies with 100 or more employees.

23. 1.5
0.9
1.5 1.5
0.6
1.2
0.3
1.25
0.75
1.25 1.25
0.75
1.25
0.75
1.5
1.2
1.2
1.5
1.5
1.2
0.9
0
1
2
3
4
5
AMAZON DYNAMODB DATASTAX MARKLOGIC MONGODB NEO TECHNOLOGY ORACLE ORIENTDB
Market Presence
Product revenue Install base Market awareness

24. 1.2 1.2 1.2 1.2
0.8
0.96
0.4
AMAZON DYNAMODB DATASTAX MARKLOGIC MONGODB NEO TECHNOLOGY ORACLE ORIENTDB
Product revenue / Install base

25. Gartner Magic Quadrant DBMS 2015
25
7) Magic Quadrant for Operational Database Management Systems

26. Gartner Magic Quadrant
• Vendors must generate a minimum of $20 million in verifiable annual software
revenue, or maintain a minimum of 100 verifiable and distinct organizations
with operational DBMSs in production. In addition, a minimum of 10 customer
responses to Gartner's survey questionnaire was required. Revenue can be from licenses, support
and/or maintenance.

27. Total DBMS Market
30,980
33,248
35,640
38,186
40,988
43,693
7.3% 7.2% 7.1% 7.3% 6.6%
0%
10%
20%
30%
40%
50%
0
10,000
20,000
30,000
40,000
50,000
2015 2016 2017 2018 2019 2020
DBMS
DBMS CAGR
IDC 2015
CAGR %
USD Million

28. NoSQL DBMS Market
643
869
1,174
1,586
2,142
2,893
35.1% 35.1% 35.1% 35.1% 35.1%
0%
10%
20%
30%
40%
50%
0
500
1,000
1,500
2,000
2,500
3,000
3,500
2015 2016 2017 2018 2019 2020
NoSQL
NoSQL CAGR
8) https://www.alliedmarketresearch.com/NoSQL-market
CAGR %
USD Million

29. Graph DBMS Market
19
27
38
54
76
107
42.1%
40.7%
42.1%
40.7% 40.8%
0%
10%
20%
30%
40%
50%
0
20
40
60
80
100
120
2015 2016 2017 2018 2019 2020
Graph DB
Graph DB CAGR
https://www.alliedmarketresearch.com/NoSQL-market
CAGR %
USD Million

30. Trend Analysis: Graph DBMSs are still in
the Advantage phase. Much of the
hype around graph DBMSs revolves
around ad hoc discovery of relationships.
Graph capabilities are being introduced
as the first additional option in
many newly multimodel DBMS
offering.
This newest information from Gartner
explains the discrepancy between the
popularity and the actual market size of
the Graph DBMS.
9) IT Market Clock for Database Management Systems, 2016, Gartner

31. Graph DMBS
Time to Next Market Phase: < 2 years
Business Impact: The impact of graph
DBMSs is moderate.
2 years
2:45
Commoditization
: 10/20
Zenith of
Industrialization
Dawn of
Standards
Dusk of
Obsolescence
Market Starts
2016

32. Graph DMBS
2 – 5 years
1:30
Zenith of
Industrialization
Dawn of
Standards
Dusk of
Obsolescence
Market Starts
2013
10) IT Market Clock for Database Management Systems, 2013, Gartner
The previous years’ trajectory. In 2013 it was
1:30 and it was forecasted that it would take
2-5 years to the next market phase.

33. Graph DMBS
2 – 5 years
1:30
Zenith of
Industrialization
Dawn of
Standards
Dusk of
Obsolescence
Market Starts
2014
11) IT Market Clock for Database Management Systems, 2014, Gartner
In 2014 it stayed there for some reason.

34. Graph DMBS
2 -5 years
2:00
Zenith of
Industrialization
Dawn of
Standards
Dusk of
Obsolescence
Market Starts
2015
12) IT Market Clock for Database Management Systems, 2015, Gartner
Last year, it moved to 2:00 o’clock.

35. Graph DMBS
Time to Next Market Phase: < 2 years
Business Impact: The impact of graph
DBMSs is moderate.
2 years
2:45
Commoditization
: 10/20
Zenith of
Industrialization
Dawn of
Standards
Dusk of
Obsolescence
Market Starts
2016
 Levels of standardization
 Level of vendor choice
 Ease of access to appropriate skills.

36.  Graph DB represents a radical change in how data is organized and
processed.
 This radical change may slow down the market adoption.
 It has to develop industry-specific use cases and make the graph DB skill
widely available.
Gartner’s Advice
9) IT Market Clock for Database Management Systems, 2016, Gartner

37. Hybrid DBMS
 By 2017, all leading operational DBMS’s will offer
multiple data models, relational and NoSQL, in a single
DBMS platform. (Gartner)
• By 2018, the NoSQL market will consolidate as mix of
traditional relational DBMS vendors with only a few
independent NoSQL vendors able to grow to sufficient
size (over $2M) to remain competitive.
• By 2018, the NoSQL label will cease to distinguish
DBMSs, which will reduce its value and result in it
falling out of use.

38. References
1) Karen Lopez (March 2015), Your Master Data Is a Graph: Are You Ready?, InfoAdvisors
2) Kisung Kim, What is Graph Database?
3) www.slideshare.net/JoshuaBae/gd-bin-sv1stmeetup09082016
4) http://db-engines.com/en/ranking_categories
5) http://db-engines.com/en/ranking_trend
6) The Forrester Wave™: Big Data NoSQL, Q3 2016
7) Magic Quadrant for Operational Database Management Systems
8) https://www.alliedmarketresearch.com/NoSQL-market
9) IT Market Clock for Database Management Systems, 2016, Gartner
10) IT Market Clock for Database Management Systems, 2013, Gartner
11) IT Market Clock for Database Management Systems, 2014, Gartner
12) IT Market Clock for Database Management Systems, 2015, Gartner

39. Thank you!
See you at the next Meetup.