The document describes an organization's experience moving from an Oracle database to MongoDB. They faced issues with slow development and performance using Oracle. They rebuilt two applications - Customer Lifecycle Management and Unified Product Catalog - in MongoDB in 4 months, seeing benefits of faster development, improved performance and user experience, and easier scalability. Testing showed MongoDB provided significantly faster read and write speeds compared to Oracle.

2. Experience with MongoDB
Prashanth Victor – 07.10.2015, Bangalore
28.5.2015 2

3. Executive summary
■ We built Customer life cycle management and Unified
product catalog with an Oracle database
■ We faced issues of complex database design slowing
down development
■ We spent time developing complex application
components to overcome performance issues
328.5.2015

4. Executive summary
■ We moved to MongoDB and rebuilt the application in
about 4 months
■ We saw some clear benefits
 Supports agile development
 Improved user experience through better performance
 Faster time to market with new modules
 Developers feel in control
428.5.2015

5. About Tecnotree
28.5.2015
■ We are a global provider of telecom IT solutions for
the management of products, customers and revenue
■ We help CSPs to transform their business towards a
marketplace of digital services provide personalised
user experiences and augmented value throughout
the customer lifecycle
5

6. ■ 1000 telecom experts serving over 100 service
providers in over 70 countries
■ Customer products development team
■ Developing core products and customisation
Who we are
628.5.2015

7. ■ Customer Lifecycle management
 Customer care with 360 view of customer
 Self care, Partner management, Marketing management
■ Unified product catalog
 Aggregate existing services, create new
 Bundles
 Customer friendly view
■ Other products include Billing, Charging and Call
completion
Products
728.5.2015

8. Solution with SQL DB
28.5.2015 8

9. Solution with SQL DB
■ Complex data base design – over 60 tables in CLM, 150
tables in UPC
■ Application development hindered by database design
■ One customer case deployed but difficult to scale a core
custom model
■ Usability issues due to low response times
■ We needed a change!
928.5.2015

10. Solution with MongoDB
28.5.2015 10

11. Why MongoDB
■ Dynamic schemas allow for adding new types of services in
UPC without going back to the database design
■ Fast reads for 360 view of customer
■ Documents model made it easy to store complex data
structures of services in a single place
■ Direct mapping between application objects and stored
data
1128.5.2015

12. Why MongoDB
■ More seamless integration to our AngularJS front end
■ Supports agile development model better and allows
us to be responsive to new requirements
■ Other benefits like rich query language, scalability,
security
■ Lower cost !
1228.5.2015

13. 360 view Architecture
CLM UI / AngularJS
CLM
Mongo
DB
JSON
JSON
Data
Service
Integration
Service
External
Systems
Multiple Protocols

14. UPC with Mongo DB
UPC UI
Create Offer
Screen /
AngularJS
UPC Server
UPC Data Service API
MongoDB
JSON
JSON
Spring
Data/Hib
ernate

15. Mongo DB based solution
■ New versions of CLM and UPC applications were ready
for customer demo in 4 months
■ Significantly reduced complexity
 < 10 collections per application functionality down from 60 to
100 tables
■ Application was customization was simple
1510/13/2015

16. Performance
■ Lower storage requirements – 50% to 70% reduction
■ Performance boost with approx 5m subscribers
 Saving a customer profile 8ms
 Read customer data < 4ms
 Update 5ms
■ Contrast this to querying a subscriber from Oracle
database with table joins > 5 seconds
1628.5.2015

17. Learning and results
■ Supports a more agile way of working with development
flexibility
■ lowered dependence on database experts in the
development phase
■ Superior performance
■ Lower deployment cost
■ Excellent support from MongoDB team
1728.5.2015

18. Going forward
■ We are working on a customer case with 65m subscribers
■ We will use Sharded cluster – so far the environment setup
has been fairly easy < 1hour to setup
■ We are building support for transactions for some specific
use cases
■ Future use cases include actionable analytics
■ Keep in touch with us to know more !
1828.5.2015

19. Q&A
■ Questions?
1928.5.2015

20. Thank you!