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Introducing MongoDB into

your Organization

Edouard Servan-Schreiber, Ph.D.

Director for Solution Architecture

edouard@10gen.com

@edouardss

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• You are using, or want to use, MongoDB

– What benefits?

– Potential Use cases

– Steering the adoption of MongoDB

• Why is MongoDB Safe

– Execution

– Operational

– Financial

• Why 10gen?

– People

– Company

– Future

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Your First MongoDB Project

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Big Data

New Programming

models

New Hardware Architecture

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Horizontally Scalable

{ author: “roger”,

date: new Date(),

text: “Spirited Away”,

tags: [“Tezuka”, “Manga”]}

Document

Oriented

High

Performance-indexes

-RAM

Application

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User Data Management High Volume Data Feeds

Content Management Operational Intelligence Product Data Mgt

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• “NoSQL databases are proving

valuable for scaling out cloud and on-

premises uses of numerous content

types, and document-oriented open-

source solutions are emerging as one

of the leading choices. “

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• Reassuring the Ops Team

• Reassuring the Business Team

• Start with low stakes – learn to trust

• Grow towards a mission critical use case

• LET US HELP YOU! info@10gen.com

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Execution

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{

_id : ObjectId("4c4ba5c0672c685e5e8aabf3"),

author : "roger",

date : "Sat Jul 24 2010 19:47:11",

text : "Spirited Away",

tags : [ "Tezuka", "Manga" ],

comments : [

{ author : ’’ Fred ",

date : "Sat Jul 24 2010 20:51:03",

text : "Best Movie Ever” } ,

{ author : ’’ Bill ",

date : "Sat Jul 24 2010 21:13:23",

text : ” No Way !! ” }

]

}

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Iteration

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• Start

• Develop

• Scale

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Operational

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• Elastic capacity

• Data center outages

• Upgrading DB versions

• Upgrade App versions

• Change/Evolve schema/representation

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• Data Durability

– Journal

– Replicated Writes

• Data Consistency

– Single Master

– Shard to Scale

• YOU are in control!

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• Millions of IO ops/sec

• Petabytes of data

• Commodity hardware – Virtual hardware

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Economics

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• Less code

• More productive coding

• Easier to maintain

• Contingency plans for turnover

• Commodity hardware

• No upfront license, pay for value over time

• Cost visibility for growth of usage

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Analyze a staggering amount of data for a system build on continuous stream of high-quality text pulled from online sources

Adding too much data too quickly resulted in outages; tables locked for tens of seconds during inserts

Initially launched entirely on MySQL but quickly hit performance road blocks

Problem

Life with MongoDB has been good for Wordnik. Our code is faster, more flexible and dramatically smaller. Since we don’t spend time worrying about the database, we can spend more time writing code for our application.

Migrated 5 billion records in a single day with zero downtime

MongoDB powers every website requests: 20m API calls per day

Ability to eliminated memcached layer, creating a simplified system that required fewer resources and was less prone to error.

Why MongoDB

Reduced code by 75% compared to MySQL

Fetch time cut from 400ms to 60ms

Sustained insert speed of 8k words per second, with frequent bursts of up to 50k per second

Significant cost savings and 15% reduction in servers

Impact

Wordnik uses MongoDB as the foundation for its “live” dictionary that stores its entire

text corpus – 3.5T of data in 20 billion records

Tony Tam, Vice President of Engineering and Technical Co-founder

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Why 10gen ?

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Dwight Merriman – CEO

Founder, CTO DoubleClick

Max Shireson – President

COO MarkLogic

9 Years at Oracle

Eliot Horowitz – CTO

Co-founder of Shopwiki, DoubleClick

Erik Frieberg – VP Marketing

HP Software, Borland, BEA

Ben Sabrin – VP of Sales

VP of Sales at Jboss, over 9 years of Open Source experience

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• Community and Commercial

• Dedicated support staff across the globe

– NY

– CA

– Dublin

– London

– Australia

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• Union Square Ventures

• Sequoia Capital

• Flybridge Capital

• NEA

• $80M raised overall

• Most recent round: $42M in May…

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What’s in store…

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• Authentication

• Data encryption

– At rest

– In flight

• Full Text Search

• Global Database lock ?

• Monitoring

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Version 2.2 (now)

• Database level locking

• Aggregation Framework

• TTL collections

• Geo-aware sharding

• Read Preferences

Version 2.4 (Q4 2012)

• Kerberos/LDAP authentication

• Collection level locking

• Full Text Search

• Improved Aggregation Framework

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info@10gen.com

Easy to start

Easy to develop

Easy to scale