quantifying business advantages: the value of database selection
DESCRIPTION
In the digital economy, data is the raw currency. How an organization stores, manages, analyzes and uses data has a direct impact on its success. Consider the following examples: - A leading insurance company delivering a new application in just 3 months, after struggling for 8 years with a legacy database. - A global telecoms operators accelerating time to market by 4x and improving customer experience by 10x. - A Tier 1 investment bank estimating savings of $40m. View the slides to learn how database selection can drive quantified business advantage you can't afford to ignore.TRANSCRIPT
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Quantifying Business Advantage: The Value of Database Selection
Mat KeepMongoDB Product Management & [email protected]@matkeep
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Can a database really deliver quantifiable business advantage?
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Build in 3 months….. what couldn’t be built in the previous 8 years
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Accelerate time to market by 4x with 50% less resource
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Serve customers 10x FASTER
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80% cost reduction with 9x higher performance
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Demands of Modern Apps
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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
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Yesterday’s Tool for Today’s Data?
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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
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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
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Gaining Competitive Advantage:Faster Time to Market
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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
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• 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
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• 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
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Improving Customer Experience:New Levels of Performance & Availability
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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
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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
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• 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
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Driving Cost Out
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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
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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
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• 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
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Getting to Success Faster
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MongoDB Enterprise
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• 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
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We’re Your Partner
TRAININGCertification & training for developers and administrators – online and in-person
CONSULTINGExpert resources for all phases of MongoDB implementations
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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
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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
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A database really can deliver quantifiable business advantage
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Learn More:Download the Whitepaper
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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 [email protected]
Resource Location
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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
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Demand for new types of applicationAdapt to handle rapidly changing, multi-structured data
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Unlock value from new dataProcess and analyze multi-structured data in real-time
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More data than ever beforeSeamlessly scale database capacity & performance
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Smaller windows of market opportunityEnable agile development methodologies
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New architectures increase flexibility, decrease costRide the economies of commodity & cloud computing
Maintain strict enterprise SLAs