MongoDB is a document database that provides a flexible data model and scalable architecture. It enables organizations to handle increasing volumes of data from a variety of sources. MongoDB supports agile development processes and new workloads through features like horizontal scaling, replication for high availability, and rich querying of structured and unstructured data. Leading companies rely on MongoDB for applications involving user data management, content delivery, mobile and social media integration due to its flexibility, scalability and ease of use.

1. 10gen and MongoDB
Driving a Data Revolution

2. Today’s Message
mongoDB
enables
innovation
2

3. Data is Changing

4. The Evolution of Databases
1990 2000 2010
Operational
Data
RDBMS
RDBMS
NoSQL
RDBMS
Datawarehouse
OLAP/BI
OLAP/BI
Hadoop
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5. Relational Database Challenges
Data Types Agile Development
• Unstructured data • Iterative
• Semi-structured data • Short development cycles
• Polymorphic data • New workloads
Volume of Data New Architectures
• Petabytes of data • Horizontal scaling
• Trillions of records • Commodity servers
• Tens of millions of queries per second • Cloud computing
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6. The MongoDB Solution

7. Leading Organizations Rely on MongoDB
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8. Global Community
3,800,000+
MongoDB Downloads
47,000+
Online Education Registrants
15,000+
MongoDB User Group Members
14,000+
MongoDB Monitoring Service (MMS) Users
10,000+
Annual MongoDB Days Attendees

9. mongoDB Adoption #1
Resource User Data Management
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10. 3 Features:
Sustaining
Scaling
Protecting

11. Replication
Sustaining

12. Replication #1
Read/Write
Reads
(Optional) Asynchronous
Replication
Reads
(Optional)
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13. Replication #2
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14. Replication #3
Automatic election
of new Primary
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15. Replication #4
15

16. Replication #5
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17. Replication - Summary
• Automatic Failover
• Automatic Recovery
• All writes to primary node
• Rolling Outages are possible, zero downtime
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18. Sharding
Scaling

19. Why Shard Data?
Some common reasons:
• Scales Read/Write capacity
• Increases total RAM, to keep the working dataset in physical
memory, for maximum performance
• Shards can be located in specific geographies, for
compliance and/or performance
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20. How Sharding Works
mongoS: A software switch that routes application
requests to the data. Typically, this will be installed
with the App Server(s).
Config server: Stores metadata on data location.
Sharded deployments should deploy at least 3 config
servers (for redundancy).
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21. Adding a Shard
To add a shard, spin-up more
mongoDB instances and tell the
mongoS that they are there with a
simple command.
When first moving from a single replica
set to a sharded environment, 50% of
the data moves from Shard 1 to Shard
2.
This puts load on to the system.
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22. And on…
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23. Durability
Protecting

24. Data Durability
Multiple
Memory Journal (Disk) Secondaries Data-Centers
RDBMS
async
(default)
w=1
j:true
w=majority
w=“<tag>”
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25. Customer Use Cases

26. MongoDB Solutions
Big Data Content Mgmt & Delivery Mobile & Social
User Data Management Data Hub
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27. Media Company Change #1
Articles & Content User
Contributions
are slow to
populate.
Cache
RDBMS
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28. Media Company Change #1
mongoDB enables
a high volume of
reads and writes
directly into the
Articles & Content
operational
data-set
This unlocks user
contributions
mongoDB
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29. Problem Why MongoDB Impact
 RDBMS architecture  Flexible data model allows  The Guardian has
constrained their ability to for heterogenous structure competitive advantage,
absorb upstream  Rich query language through enabling social
contributions from users preserves functionality conversations through the
 New features, competitions  System updates with zero site
needed to log data into user downtime  Interactive features can be
records, requiring schema  Ease of use, allowing a large delivered more quickly,
changes development team to adopt which translates to
the technology quickly increased revenues
“Relational databases have a sound approach, but that doesn’t necessarily match the way we see our data.
mongoDB gave us the flexibility to store data in the way that we understand it as opposed to somebody’s
theoretical view.”
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Philip Wills, Software Architect

30. Telco Business Evolution
Handset location
Mr.
100
Coffee Metres
Marketing
Message
Proximity
Calculation
mongoDB
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31. Problem Why MongoDB Impact
 A need to extract value from  Built around scalability, with  Priority Moments project is
existing semi-structured auto-sharding features a strong success
data sources (social  mongoDB deployment  Subsequent adoption of
networks etc.) architecture prevents any mongoDB by O2 &
 A fast-growing customer- single point of failure Telefonica across a large
base required any solution  Geospatial indexing out-of- number of projects
to be easily scalable the-box enables location-
based service delivery
“Selecting MongoDB as our database platform was a no brainer as the technology offered us the flexibility
and scalability that we knew we’d need for Priority Moments.”
31 Andrew Pattinson, Head of Online Delivery

32. For More Information
Resource User Data Management
Location
MongoDB Downloads www.mongodb.org/download
Free Online Training education.10gen.com
Webinars and Events www.10gen.com/events
White Papers www.10gen.com/white-papers
Customer Case Studies www.10gen.com/customers
Presentations www.10gen.com/presentations
Documentation docs.mongodb.org
Additional Info info@10gen.com
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33. How We Can Help
Resource
10gen Partners
Training Getting
• Public or private courses, 2 or 3 Started Professional
days Services
• Architecting & developing
mongoDB solutions
Pre-production Support • Trusted Advisor
• Developer Support Development
• mongoDB Health-check
mongoDB Subscriptions
• Production support
• SNMP Adaptor Production
• Platform OS certification
• Commercial License
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34. Today’s Message
mongoDB
enables
innovation
34