1. Resilsoft-DivSQL
Analysis of commercial opportunities for DivSQL, a novel
patented design for ultra-reliable database services
June
16

2. 2
June 2016
Resilsoft-DivSQL
Analysis of commercial opportunities for DivSQL, a novel
patented design for ultra-reliable database services
Mohammad Mamouei
Audrey Henkels
Faraz Rezazade
Loreta Butenyte
Duc Nguyen

3. Resilsoft-DivSQL
A group of academics from the Centre for Software Reliability (CSR) at City
University London namely, Dr. Peter Popov, Dr. Ilir Gashi, and Dr. Vladimir
Stankovic, have ideated an innovative software solution which enables
identification of non-obvious faults in database servers. After initial validation of
the technology, the spin-off company, Resilsoft was established to seek further
development of the aforementioned invention into a market-ready product.
The key element in this invention is diversification of database servers. By
implementing a middleware that replicates and retrieves data from two diverse
database servers, non-obvious faults that would otherwise go unnoticed can be
detected. This type of failure cannot be detected in database products that rely
on a single database server nor can it be identified when a number of similar
database servers are used. Resilsoft’s patented replication process establishes
efficient communication across diverse database servers while maintaining a
seamless experience for applications and users.
DivSQL makes use of two open-source database servers namely, PostgreSQL
and Firebird, therefore it can offer ultra-reliability, scalability, and high-availability
at a significantly lower cost compared to existing high-end technologies. High
level of reliability and fault detection provided by DivSQL, makes the technology
particularly well suited to server applications where:
● The cost associated with failures is very high and there is therefore an
incentive attached to solutions preventing database failures.
● The cost of alternative commercial solutions (e.g. Oracle’s GoldenGate,
Dell’s SharePlex, EnterpriseDB) are viewed as too expensive.
Although tests have proved the solution’s functionality on a small scale, the
solution is yet to be tested in a commercial environment. London City Incubator
(LCI) is therefore, providing consultancy on commercialisation and adopting the
best route to market to Resilsoft Ltd.
Next milestones will look at developing strategies of validation and identification
of commercial opportunities. In particular, London City Incubator (LCI) is
committed to consider DivSQL’s commercialisation potential by conducting a
comprehensive market research and subsequently identify a potential partner for
Resilsoft to conduct prototype testing. Additionally, as a part of this effort a
communication plan will be developed to effectively convey DivSQL’s potential to
potential partners and investors. This report summarises LCI’s achievements,
findings, future plans, and recommendations.

4. 4
Commercialisation Team
Manager:
Caroline Sipos
LCI Associates:
Mohammad Mamouei
Audrey Henkels
Faraz Rezazade
Loreta Butenyte
Duc Nguyen

5. 5
Contents
1. Product overview...................................................................................................................8
2. Market analysis ................................................................................................................... 10
2.1 Database trends ........................................................................................................... 10
2.2 Research on PostgreSQL and Firebird ................................................................ 12
2.3 Interview findings....................................................................................................... 13
2.4 Email Findings.............................................................................................................. 14
2.4.1 Email Templates.................................................................................................. 14
2.4.2 Results..................................................................................................................... 15
2.5 Market landscape ........................................................................................................ 19
2.5.1 Magic Quadrant – Market’s Direction, Maturity & Participants ....... 19
2.5.2 Startup capabilities within the database market ................................... 21
2.5.3 Summary................................................................................................................ 22
2.6 Competitor analysis.................................................................................................... 22
2.6.1 EnterpriseDB........................................................................................................ 22
2.6.2 Oracle ...................................................................................................................... 23
2.6.3 Actian....................................................................................................................... 24
2.6.4 Microsoft................................................................................................................ 24
2.6.5 IBM ........................................................................................................................... 25
2.6.6 Dell’s SharePlex................................................................................................... 26
2.7 Users Reviews on Competitors’ Middle-ware Products............................... 27
2.8 Recommended Target Market................................................................................ 29
2.9 Facilitators and Barriers to Entry......................................................................... 30
2.10 Regulations for Database Management Systems........................................ 32
3. Patent Landscape Analysis........................................................................................... 34
3.1 Introduction................................................................................................................... 34
3.2 Findings........................................................................................................................... 34
3.3 Conclusion ........................................................................................................................... 51
4. Product Research.............................................................................................................. 52
4.1 Cost Structure ............................................................................................................... 52
4.2 Revenue Streams......................................................................................................... 54
4.3 Options ............................................................................................................................ 55
5. Partnership & Customer Approach................................................................................... 58
6. Conclusion................................................................................................................................... 63
Appendix 1 : Evaluation Criteria of Competitor Analysis.............................................. 66
Appendix 2: Customer’s Reviews ........................................................................................... 67

6. 6
Appendix 3: Executive Summary............................................................................................ 73
Appendix 4: References.............................................................................................................. 74

7. 50%+
$30 billion cost of software outages
incurred on businesses
due to database related
failures
$50 billion projected size of data
base market by 2017
percentage of manually-reported
database related bugs caused by non-
obvious faults.
5% growth in global IT
spending
12 million Customers and
Businesses
disrupted due to a single outage of RBS
database system
£3 billion
expenditure by British
banks to update their IT
systems