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How Partners Can Benefit from
our New Program
Luca Olivari
Director of Business Development, EMEA
luca.olivari@10gen.com
@lucaolivari
Agenda
• Introduction to 10gen & MongoDB
• Partnership Program Benefits
• Positioning and Case Studies
• How to Enroll & What’s Next?
Introduction to
10gen and MongoDB
4
10gen Introduction
10gen is the company behind MongoDB –
the leading NoSQL database
Document
Database
Open-
Source
General
Purpose
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
10gen Overview
200+ employees 600+ customers
Over $81 million in funding
Offices in New York, Palo Alto, Washington
DC, London, Dublin, Barcelona and Sydney
7
Leading Organizations Rely on MongoDB
8
Indeed.com Trends
Top Job Trends
1.HTML 5
2.MongoDB
3.iOS
4.Android
5.Mobile Apps
6.Puppet
7.Hadoop
8.jQuery
9.PaaS
10.Social Media
Leading NoSQL Database
LinkedIn Job Skills
MongoDB
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Competitor 5
All Others
Google Search
MongoDB
Competitor 1
Competitor 2
Competitor 3
Competitor 4
Jaspersoft Big Data Index
Direct Real-Time Downloads
MongoDB
Competitor 1
Competitor 2
Competitor 3
9
Global Community
4,000,000+
MongoDB Downloads
50,000+
Online Education Registrants
15,000+
MongoDB User Group Members
14,000+
MongoDB Monitoring Service (MMS) Users
10,000+
Annual MongoDB Days Attendees
10
MongoDB Overview
Agile Scalable
11
MongoDB Architecture
12
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
13
MongoDB Business Value
Enabling New Apps Better Customer Experience
Lower TCOFaster Time to Market
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
Partnership Program
Benefits
16
Cloud
Partners
Software
Partners
Hardware
Partners
Service
Partners
Channel
Partners
A Complete Partnership Program
• The program includes
– Channel Partners
– Cloud Partners
– Service Partners
– Hardware Partners
– Software Partners
• Doing business with our
partners and not on them
– Zero upfront investment
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
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.
19
Symbiosis
Image courtesy http://www.wolaver.org/
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
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
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
• Vendors that provide operating systems, tools,
middleware, applications, business intelligence
and other solutions.
Software Partners
Some Examples
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
25
• Infrastructure-as-a-service (IaaS), platform-as-a-
service (PaaS), software-as-a-service (SaaS) and
managed hosting vendors.
Cloud Partners
Some Examples
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
• 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
Positioning and
Case Studies
29
Database Landscape
• No Automatic Joins
• Document Transactions
• Fast, Scalable Read/Writes
30
Database Use Cases
RDBMSs
Key/Value or
Column Stores
MongoDB
31
MongoDB Solutions
Data HubUser Data Management
Big Data Content Mgmt & Delivery Mobile & Social
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
33
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
34
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
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
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
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
38
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
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
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%
How to Enroll and
What’s Next?
42
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
43
• 10gen Partners (100+)
– http://www.10gen.com/partners
• Partner Program Overview
– http://www.10gen.com/partners/partner-program
• Apply now!
– http://www.10gen.com/partners/partner-application
• Contact me:
– Luca.Olivari@10gen.com
Partnership Program Details
Webinar: How Partners Can Benefit from our New Program (EMEA)

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Webinar: How Partners Can Benefit from our New Program (EMEA)

  • 1. How Partners Can Benefit from our New Program Luca Olivari Director of Business Development, EMEA luca.olivari@10gen.com @lucaolivari
  • 2. Agenda • Introduction to 10gen & MongoDB • Partnership Program Benefits • Positioning and Case Studies • How to Enroll & What’s Next?
  • 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
  • 8. 8 Indeed.com Trends Top Job Trends 1.HTML 5 2.MongoDB 3.iOS 4.Android 5.Mobile Apps 6.Puppet 7.Hadoop 8.jQuery 9.PaaS 10.Social Media Leading NoSQL Database LinkedIn Job Skills MongoDB Competitor 1 Competitor 2 Competitor 3 Competitor 4 Competitor 5 All Others Google Search MongoDB Competitor 1 Competitor 2 Competitor 3 Competitor 4 Jaspersoft Big Data Index Direct Real-Time Downloads MongoDB Competitor 1 Competitor 2 Competitor 3
  • 9. 9 Global Community 4,000,000+ MongoDB Downloads 50,000+ Online Education Registrants 15,000+ MongoDB User Group Members 14,000+ MongoDB Monitoring Service (MMS) Users 10,000+ Annual MongoDB Days Attendees
  • 12. 12 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
  • 13. 13 MongoDB Business Value Enabling New Apps Better Customer Experience Lower TCOFaster Time to Market
  • 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
  • 16. 16 Cloud Partners Software Partners Hardware Partners Service Partners Channel Partners A Complete Partnership Program • The program includes – Channel Partners – Cloud Partners – Service Partners – Hardware Partners – Software Partners • Doing business with our partners and not on them – Zero upfront investment
  • 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
  • 25. 25 • Infrastructure-as-a-service (IaaS), platform-as-a- service (PaaS), software-as-a-service (SaaS) and managed hosting vendors. Cloud 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
  • 29. 29 Database Landscape • No Automatic Joins • Document Transactions • Fast, Scalable Read/Writes
  • 30. 30 Database Use Cases RDBMSs Key/Value or Column Stores MongoDB
  • 31. 31 MongoDB Solutions Data HubUser Data Management Big Data Content Mgmt & Delivery Mobile & Social
  • 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
  • 33. 33 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
  • 34. 34 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
  • 38. 38 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%
  • 41. How to Enroll and What’s Next?
  • 42. 42 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
  • 43. 43 • 10gen Partners (100+) – http://www.10gen.com/partners • Partner Program Overview – http://www.10gen.com/partners/partner-program • Apply now! – http://www.10gen.com/partners/partner-application • Contact me: – Luca.Olivari@10gen.com Partnership Program Details

Hinweis der Redaktion

  1. 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)
  2. Ship Faster – developer productivityScale BiggerSpend Less
  3. 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