The 10gen partner ecosystem is growing quickly and includes leading software, hardware, cloud, channel and services companies who develop, market, sell and support solutions based on the MongoDB document database. We've created a Partner Program designed for companies looking to efficiently build new business or revenue streams based on MongoDB and capitalize on big data, cloud, mobile and other computing trends and opportunities related to our document-oriented database.
Join this webinar for an introduction to 10gen, MongoDB and our partnership program. We're going to explain the benefits of becoming a a partner and common use cases and verticals for MongoDB. Directions and contacts will be given to companies interested in partnering with us in EMEA.
4. 4
10gen Introduction
10gen is the company behind MongoDB –
the leading NoSQL database
Document
Database
Open-
Source
General
Purpose
5. 5
10gen Vision
To provide the best database for how we build and
run apps today
Build
– New and complex data
types
– More flexibility
– New programming
languages
– Much faster
development speed
Run
– New scalability levels for
big data
– Faster and real-time
performance
– New hardware
– New computing
environments
6. 6
10gen Overview
200+ employees 600+ customers
Over $81 million in funding
Offices in New York, Palo Alto, Washington
DC, London, Dublin, Barcelona and Sydney
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MongoDB Features
• JSON Document Model
with Dynamic Schemas
• Auto-Sharding for
Horizontal Scalability
• Text Search
• Aggregation Framework
and MapReduce
• Full, Flexible Index Support
and Rich Queries
• Built-In Replication for High
Availability
• Advanced Security
• Large Media Storage with
GridFS
14. 14
10gen Products and Services
Consulting
Expert Resources for All Phases of MongoDB Implementations
Training
Online and In-Person for Developers and Administrators
MongoDB Monitoring Service (MMS)
Free, Cloud-Based Service for Monitoring and Alerts
Subscriptions
MongoDB Enterprise, On-Prem Monitoring, Professional Support
and Commercial License
17. 17
10Gen Distribution Model
Channel Partners
Direct Sales
Cloud Partners
SW/HW Partners
Service Partners
• Directly Manage Named Accounts
• Help Partners with Co-Sell Activities
• Share Opportunities with Partners
• Re-Sell MongoDB to Customers
• Add Value by Providing Solutions and Services
• Help Go-To-Market Activities
• Acts as a Distribution Channel (via Marketplaces)
• Facilitate Adoption of MongoDB
• Co-Market 10gen’s Products (XaaS)
• Embed, Certify and Enhance MongoDB
• Co-Market and Co-Sell 10gen’s products
• Facilitate Adoption of MongoDB
• Build MongoDB Applications
• Adopt MongoDB as a Standard Development Platform
• Deliver Consulting and Training Services
18. 18
Member
The entry level for
the 10gen Partner
Program with entry
level benefits and
requirements.
Authorized
A more advanced
level in the
Program with
more significant
benefits and
requirements.
Strategic*
The highest level of
partnership with the
highest levels of
benefits and
requirements.
*Invitation Only
Toward a Strategic Relationship
Partners will join with the
“Member” status, but the end goal
is to develop a strategic
relationships.
20. 20
Member Authorized Strategic*
Technical Benefits
Support by Request X X X
Technical Kit X X X
Design Assistance X X
Support with SLA X X
Access to Product
Roadmaps
X X
Sales Benefits
Sales Kit X X X
Internal Referral Guide X X
Benefits/I
* Strategic partners receives additional benefits
21. 21
Member Authorized Strategic*
Marketing Benefits
Marketing Kit X X X
MongoDB Logo Usage X X X
Web Listing X X X
Special Program Logo
Usage
X X
Joint PR X X
Flash Page X X
Benefits/II
* Strategic partners receives additional benefits
22. 22
Member Authorized Strategic*
Software, Hardware and
Cloud
Validated Product X X
At Least 1 Successful
Customer/Case Study
X X
Channel
At Least 2 Trained
Technical Staff, 2 Trained
Sales Staff
N/A X X
At Least 1 Successful Deal N/A X X
Services
At Least 2 Trained
Technical Staff, 2 Trained
Sales Staff
X X
At Least 1 Successful
Customer/Case Study
X X
Requirements
* Strategic partners receives additional benefits
23. 23
• Vendors that provide operating systems, tools,
middleware, applications, business intelligence
and other solutions.
Software Partners
Some Examples
24. 24
• Server, storage, networking, semiconductor and
other vendors that ensure MongoDB runs well on
their products. MongoDB is an agile and scalable
database that is enhanced by the use of quality
hardware.
Hardware Partners
Some Examples
26. 26
• Value-added resellers (VARs), volume resellers,
distributors and other companies that market and
sell 10gen products and services to regional and
global markets plus other categories of our
partners that resell MongoDB.
Channel Partners
Some Examples
27. 27
• Provide application development, system
integration, consulting, training, implementation
and other services related to MongoDB
worldwide. Our partners bring valued knowledge
and experience to benefit joint customers globally.
Service Partners
Some Examples
32. 32
Uses MongoDB to power enterprise social
networking platform
Case Study
Problem Why MongoDB Results
• Complex SQL queries,
highly normalized
schema not aligned with
new data types
• Poor performance
• Lack of horizontal
scalability
• Dynamic schemas
using JSON
• Ability to handle
complex data while
maintaining high
performance
• Social network analytics
with lightweight
MapReduce
• Flexibility to roll out new
social features quickly
• Sped up reads from 30
seconds to tens of
milliseconds
• Dramatically increased
write performance
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Runs centralized data management platform for
online gaming on MongoDB
Case Study
Problem Why MongoDB Results
• Built new data model
and management layer
for each new game
• Complex, redundant
code
• MySQL unable to keep
up with performance
and scalability
requirements
• Proactively scale to
accommodate growth
via sharding
• Automated failover and
ability to add nodes
without downtime
• MMS for monitoring and
diagnostics
• Freedom to focus on
game play instead of
back-end infrastructure
• Greater agility, faster
development iteration
• Ease of operations
reduced burden for on-
call admins
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Powers content-serving web platform on
MongoDB to deliver dynamic data to users
Case Study
Problem Why MongoDB Results
• Static web content
• Siloed data stores,
disparate technologies
• Unable to aggregate
and integrate data for
dynamic content
• Support for agile
development
• Easy to use and
maintain
• Low subscription and
HW costs
• Ability to serve dynamic
content
• Decreased TCO
• Replaced multiple
technologies with single
MongoDB database
35. 35
Stores user and location-based data in MongoDB
for social networking mobile app
Case Study
Problem Why MongoDB Results
• Relational architecture
could not scale
• Check-in data growth
hit single-node capacity
ceiling
• Significant work to build
custom sharding layer
• Auto-sharding to scale
high-traffic and fast-
growing application
• Geo-indexing for easy
querying of location-
based data
• Simple data model
• Focus engineering on
building mobile app vs.
back-end
• Scale efficiently with
limited resources
• Increased developer
productivity
36. 36
MongoDB enables Gilt to roll out new revenue-
generating features faster and cheaper
Case Study
Problem Why MongoDB Results
• Monolithic Postgres
architecture expensive
to scale
• Limited ability to add
new features for
different business silos
• Spiky server loads
• Dynamic schema makes it
easy to build new features
• Alignment with SOA
• Cost-effective, horizontal
scaling
• Easy to use and maintain
• Developers can launch
new services faster, e.g.,
customized upsell emails
• Stable, sub-ms
performance on
commodity hardware
• Reduced complexity
yields lower overhead
37. 37
MongoDB powers big data analytics for cloud-
based threat intelligence system
Case Study
Problem Why MongoDB Results
• Other products couldn’t
handle both scalability
and depth of
functionality needs,
e.g.,
• Hbase/Hadoop could
not execute complex
queries
• Lucene could not scale
easily
• Scales with auto-sharding
• Flexibility to add new
analytics continuously
• Language & driver diversity
• Geospatial indexing for
threat hot spots
• Scale by orders of
magnitude with little effort
• Lower latency by over 3x
• Ability to change schema
on the fly boosts developer
productivity and morale
• Accelerates time to market
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Stores one of world’s largest record repositories
and searchable catalogues in MongoDB
Case Study
Problem Why MongoDB Results
• One of world’s largest
record repositories
• Move to SOA required
new approach to data
store
• RDBMS could not
support centralized data
mgt and federation of
information services
• Fast, easy scalability
• Full query language
• Complex metadata
storage
• Will scale to 100s of TB
by 2013, PB by 2020
• Searchable catalogue
of varied data types
• Decreased SW and
support costs
39. 39
Serves variety of content and user services on
multiple platforms to 7M web and mobile users
Case Study
Problem Why MongoDB Results
• MySQL reached scale
ceiling – could not cope
with performance and
scalability demands
• Metadata management
too challenging with
relational model
• Hard to integrate
external data sources
• Unrivaled performance
• Simple scalability and
high availability
• Intuitive mapping
• Eliminated 6B+ rows of
attributes – instead
creates single document
per user / piece of content
• Supports 115,000+
queries per second
• Saved £2M+ over 3 yrs.
• “Lead time for new
implementations is cut
massively”
• MongoDB is default
choice for all new
projects
40. 40
Social e-commerce application built on MongoDB
offers 100M+ products from over 30K brands
Case Study
Problem Why MongoDB Results
• MySQL could not
accommodate growth
• Significant optimization
required to tune MySQL
performance
• Database maintenance
inhibited development
• Flexible data model to
handle varying product
attributes
• Scalability for global reach
• Ease of maintenance
• Consistent performance
even when adding data
and new features
• Boosted developer
productivity
• Scaled from 5M to
100M products with
minimal work
• Decreased product
import time by 90%
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Resource Location
MongoDB Downloads 10gen.com/download
Free Online Training education.10gen.com
Webinars and Events 10gen.com/events
White Papers 10gen.com/white-papers
Case Studies 10gen.com/customers
Presentations 10gen.com/presentations
Documentation docs.mongodb.org
Additional Info info@10gen.com
For More Information
Resource Location
Indeed: #2 just after HTML and ahead of iOS, Android, HadoopJasper: Demand for MongoDB, the document-oriented NoSQL database, saw the biggest spike with over 200% growth in 2011.451 Group: Bigger than next 3 or 4 COMBINED; biggest quarter-over-quarter and year-over-year growth (again)
Ship Faster – developer productivityScale BiggerSpend Less
MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search (with MongoDB 2.4), geospatial, and more