quantifying business advantages: the value of database selection

Quantifying Business Advantage: The Value of Database Selection

Mat KeepMongoDB Product Management & Marketingmat.keep@mongodb.com@matkeep

Can a database really deliver quantifiable business advantage?

Build in 3 months….. what couldn’t be built in the previous 8 years

Accelerate time to market by 4x with 50% less resource

Serve customers 10x FASTER

80% cost reduction with 9x higher performance

Demands of Modern Apps

Data Has Changed

• 90% of the world’s data was created in the last two years

• 80% of enterprise data is unstructured

• Unstructured data growing 2x faster than structured

Yesterday’s Tool for Today’s Data?

Requirements of a Modern Database

Flexible Data Model Rich Queries

Scalable

Dynamic Schema

Grow Fast

Secondary Indexes, Aggregations, Search

Agile

Continuous Innovation

Enterprise-Ready

Secure & Reliable

MongoDB: Powering Modern Applications

Big Data Product & Asset Catalogs

Security & Fraud

Internet of Things

Database-as-a-Service

Mobile Apps

Customer Data Management Single View

Social & Collaboration

Content Management

Intelligence Agencies

Top Investment and Retail Banks

Top Global Shipping Company

Top Industrial Equipment Manufacturer

Top Media Company

Top Investment and Retail Banks

Gaining Competitive Advantage:Faster Time to Market

Aggregated data from 70 source systems to create single customer view

Live in 3 Months

“Introducing technology like MongoDB to our development teams… empowered them to deliver work in months that would typically take years.”

Gary Hoberman, CIO and Senior Vice President,Regional Application Development, MetLife

• Fastest growing messaging app in India

• Requirements– Scale fast, run real time analytics, ensure enterprise SLAs

• Scaled to 15m+ users in just 9 months on MongoDB– MongoDB sharding and replica sets

– MongoDB query framework

– MongoDB subscriptions for support, best practices and advanced security features

15m Users in 9 Months

• Create single subscriber profile across multiple services

• Tried Oracle, couldn’t scale

• Switched to MongoDB– Built the project 4x

faster with 50% of the development team.

– 10x lower latency

4x Faster to Market

Improving Customer Experience:New Levels of Performance & Availability

Compatibility Matching System used to match potential partners

“With our...SQL-based system, the entire user profile set was stored on each server, which impacted performance and impeded our ability to scale horizontally.

MongoDB supports the scale that our business demands and allows us to generate matches in real-time.” Thod Nguyen, CTO, eHarmony

95% Faster Matches

10x Higher Performance

“Replacing our legacy database with MongoDB helps position us for future growth.

MongoDB improves our ability to support continued customer demand and the growth of our vehicle history database..” Joedy Lenz, CTO, CARFAX

• Extend HR apps to mobile devices

• Why MongoDB– Developer agility: document

model & dynamic schema

– Functional: Powerful query framework

– HA: Replica sets

• Results– Service Continuity: MongoDB

subscriptions & MMS

Continuous Availability

Driving Cost Out

Tier 1 Bank $40m Savings

Golden Copy

Batch

BatchBatch

Batch

Batch

Batch

Batch

Batch

Reference Data Management• Built on RDBMS• Up to 36 hours to

replicate globally

Impacts• Regulatory fines for using stale data• High licensing costs• Expensive hardware

Real-time

Real-time Real-time

Real-time

Real-time

Real-time

Real-time

Real-time

Migrated to MongoDB• Data replicates in

minutes• Faster development• Shift Capex to Opex

Tier 1 Bank $40m Savings

• Personalized digital photo products– Built on Oracle, hit the scalability wall

• Why MongoDB– Rich data model supporting new query

patterns

– New features built in weeks not months

– MMS for monitoring & issue resolution

• Results– 9x higher performance from simplified

code base

– 80% cost reduction

80% Lower Cost

Getting to Success Faster

MongoDB Enterprise

• Automate (beta)– Provision in minutes– Hot upgrades

• Backup– Continuous incremental

backups– Point-in-time recovery

• Monitor– Visualize 100+ system metrics– Custom alerts

MongoDB Management Service

We’re Your Partner

TRAININGCertification & training for developers and administrators – online and in-person

CONSULTINGExpert resources for all phases of MongoDB implementations

1,000+ Customers

OF THE WORLD’S LARGEST GOVERNMENTS3

OF THE WORLD’S LARGEST TECH COMPANIES8

OF THE WORLD’S LARGEST ELECTRONICS MANUFACTURERS10

OF THE WORLD’S LARGEST MEDIA AND ENTERTAINMENT COMPANIES10

OF THE WORLD’S LARGEST FINANCIAL INSTITUTIONS10

OF THE WORLD’S LARGEST RETAILERS10

OF THE WORLD’S LARGEST TELECOMM COMPANIES10

7,000,000+ MongoDB Downloads

150,000+ Online Education Registrants

35,000+ MongoDB Management Service (MMS) Users

30,000+ MongoDB User Group Members

20,000+ MongoDB Days Attendees

Global Community

A database really can deliver quantifiable business advantage

Learn More:Download the Whitepaper

For More Information

Resource Location

MongoDB Downloads mongodb.com/download

Free Online Training education.mongodb.com

Webinars and Events mongodb.com/events

White Papers mongodb.com/white-papers

Case Studies mongodb.com/customers

Presentations mongodb.com/presentations

Documentation docs.mongodb.org

Additional Info info@mongodb.com

Resource Location

Migrated product catalog from RDBMS

“Quite frankly we were blown away by the performance of MongoDB. Between the move to Amazon and by opting for MongoDB, we’ve saved about £2m over the last three years”

Neil Jennings, Lead Architect, Orange Digital

Commodity Economics

Demand for new types of applicationAdapt to handle rapidly changing, multi-structured data

Unlock value from new dataProcess and analyze multi-structured data in real-time

More data than ever beforeSeamlessly scale database capacity & performance

Smaller windows of market opportunityEnable agile development methodologies

New architectures increase flexibility, decrease costRide the economies of commodity & cloud computing

Maintain strict enterprise SLAs