The Right (and Wrong) Use Cases for MongoDB

The Right (And Wrong) Use Cases for MongoDB

Damon [email protected]

We’ll be covering...

• About MongoDB• Benefits of using MongoDB• Specific Use Cases– Good: Single View, Mobile, Analytics– Not So Good...

• Q&A

About MongoDB

Benefits of MongoDB

• Performance

• Availability and Scalability

• Data Model

• Query Model

Benefits of MongoDBPerformance

Sca

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Depth of Functionality


Sca

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Key/Value StoresCache Only


Sca

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ance


Key/Value Stores

RDBMS

Cache Only

Highly Transactional


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Key/Value Stores

RDBMS

MongoDBMobile

AnalyticsContent Mgmt.

Cache Only

Highly Transactional

Internet of Things

Single View

PersonalizationCatalog

Benefits of MongoDBAvailability and Scalability

Application

mongod

mongod

mongod


Application

mongod

mongod

mongod mongo

d

mongod

mongod

mongos

[A-L] [M-Z]


Application

mongod

mongod

mongod

mongod

mongod

mongod

mongos | mongos | mongos

[A-E] [P-T]

mongod

mongod

mongod

mongod

mongod

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mongod

mongod

[F-J] [K-O] [U-Z]

Benefits of MongoDBRDBMS - Hard to Make Changes

New Table

New Table

New Colum

n

Benefits of MongoDBRDBMS vs. Document Data Model

Mental model

Relational model

Benefits of MongoDBRDBMS vs. Document Data Model

Mental model

Document model

{ first_name: ‘Paul’, surname: ‘Miller’, cell: ‘+447557505611’ location: [45.123,47.232], profession: [banking, finance, trader], cars: [ { model: ‘Bentley’, year: 1973, value: 100000, … }, { model: ‘Rolls Royce’, year: 1965, value: 330000, … } ]}

Benefits of MongoDBNatural Data Model



Field Names



Field NamesTyped field values

String

Geo coordinatesNumber




String


Fields cancontain arrays




String


}Fields can contain an arrayof sub-documents

Fields cancontain arrays

Benefits of MongoDBRich Query Model


Rich Queries

• Find Paul’s car• Find everybody in London with a

car built between 1970 and 1980

Geo• Find all car owners within 10m of

Manhattan

Text Search• Find all cars whose VIN starts with

ZA1

Aggregation• Calculate the average value of Paul’s

car collection

Map Reduce

• What is the ownership pattern of colors by geography over time? (Is silver trending up in the US?)

Benefits of MongoDBRelational Database Challenges


• Data Types• Unstructured data• Semi-structured data• Polymorphic data



• Agile Development• Iterative• Short development cycles• New workloads




• New Architectures• Horizontal scaling• Commodity servers• Cloud computing




• Volume of Data• Petabytes of data• Trillions of records• Millions of queries per second

• New Architectures• Horizontal scaling• Commodity servers• Cloud computing

Good Use Cases

Use Cases

• Applications never before

possible

• Volume, Variety, Velocity

• Developer Productivity

Use Case - Single View


• 70+ systems• 50 million policies• 118 million customers• 190 million documents


• 70+ systems• 50 million policies• 118 million customers• 190 million documents

• Rolling out internationally• A version for its sales force• Real time prediction of

customer attrition rates.

Use Case - Mobile

Use Case - Mobile

• 2 million requests per day• 40 million users w/ alerts

Use Case - Mobile

• 2 million requests per day• 40 million users w/ alerts

• Mobile backend as a service for Facebook• 270,000+ apps• Unknown workload types• API requests growing 500% annually

Use Case - Analytics


• Pairs MongoDB-powered analytics with visual maps

• Provides real-time and historical information

• Finds trends and relationships


• Pairs MongoDB-powered analytics with visual maps

• Provides real-time and historical information

• Finds trends and relationships

• Predict best ways to cut traffic congestion

• Analyze energy usage trends to improve efficiency

• Map crime stats and city data relationships so crime can actually be reduced

What’s next? The SmartData Platform


Real Time Analytics

• Light-weight analytics very quickly

• Sub-second response times

• High availability requirements


Real Time Analytics Batch Analytics

• Complex, long-running analyses

• Slower response times (minutes/days)

• Lower availability requirements

• Light-weight analytics very quickly

• Sub-second response times

• High availability requirements


Informs

Populates

“Bad” Use Cases

Use Case - Cache Only

Wrong Use Case

• Developer productivity and satisfaction is not a

concern for you

• Limited vertical scalability is a comfort blanket

• “It’s always been done this way”

• You can see the future and know all possibilities for

your schema

The Right (and Wrong) Use Cases for MongoDB

Technology

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