An afternoon with mongo db new delhi

May 26, 2014Download as PPTX, PDF1 like5,488 views

The document summarizes MongoDB as a modern database designed to solve problems of volume, velocity, and variety of data that traditional relational databases are not well-suited for. It highlights key MongoDB features like scalability, flexible schemas, and high availability. The document also discusses how MongoDB compares favorably to other databases in security capabilities and is a good fit for applications involving user data management, content delivery, and mobile apps.

“An Afternoon with MongoDB
New Delhi”
Director Sales
Rajnish Verma
#MongoDB

MongoDB is a Modern Database
Next generation of database
designed to solve next generation
problems.

For the first time in 40 years
the relational database
has legitimate
challengers

Requirements
• Aggregate disparate data
• Change apps quickly
• Analyze data faster
• Store more data
• Increase productivity
• ReduceTCO drastically
Putting Urgency on These IT
Requirements Like Never Before

Unfortunately, RDBMSs Not Built for
These Requirements
Data Types & OOP
• Unstructured data
• Semi-structured
data
• Polymorphic data
Volume of Data
• Petabytes of data
• Trillions of records
• Tens of millions of
queries per second
Agile Development
• Iterative
• Short development
cycles
• New workloads
New Architectures
• Horizontal scaling
• Commodity
servers
• Cloud computing

Then Now
Tabular Everything
Waterfall Iterative
Data Center Cloud
PC Mobile
CIO Developers

Now There Is Help
2010
RDBMS
Key-Value/
Column Store
OLAP/BI
Hadoop
2000
RDBMS
OLAP/BI
1990
RDBMS
Operational
Data
Datawarehouse
Document DB
NoSQL

Database Landscape
• No Automatic Joins
• Document Transactions
• Fast, Scalable Read/Writes

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

MongoDB and Enterprise IT Stack
EDWHadoop
Management&Monitoring
Security&Auditing
RDBMS
CRM, ERP, Collaboration, Mobile, BI
OS & Virtualization, Compute, Storage, Network
RDBMS
Applications
Infrastructure
Data Management
Online Data Offline Data

Subscription Decision Matrix
Do you need… Yes No
Advanced Security? ✔
Disaster recovery? ✔
Monitoring for system performance
and availability? ✔
Automated lifecycle management
(provisioning, configuration and zero
downtime upgrades)?
✔
Guaranteed response time? ✔
Platform certification? ✔

*Requires Oracle Advanced Security at $15k per processor
Oracle MySQL MongoDB Cassandra Couchbase
Authentication
LDAP    
Via Memcached
Client
Kerberos *    
x.509 Certificates *    
Authorization
User-Defined Roles     
Field Level Security *    
Auditing (Admin Actions)     
Encryption
SSL *    
FIPS 140-2 *    

MongoDB is good for…
360 Degree View
of the Customer
Mobile & Social
Apps
Fraud Detection
User Data
Management
Content
Management &
Delivery
Reference Data
Product Catalogs
Machine to
Machine Apps
Data Hub

Data HubUser Data Management
Big Data Content Mgmt & Delivery Mobile & Social
MongoDB Solutions

MongoDB Snapshot
375+ employees 1000+ customers
Over $243 million in funding
Offices in New York, Palo Alto, Washington
DC, London, Dublin, Barcelona, Delhi,
Singapore and Sydney

5,000,000+
MongoDB Downloads
100,000+
Online Education Registrants
20,000+
MongoDB User Group Members
20,000+
MongoDB DaysAttendees
20,000+
MongoDB Management Service (MMS) Users

For More Information
Resource Location
MongoDB Downloads mongodb.com/download
Free Online Training education.mongodb.com
Webinars and Events mongodb.com/events
White Papers mongodb.com/white-papers
Case Studies mongodb.com/customers
Presentations mongodb.com/presentations
Documentation docs.mongodb.org
Additional Info info@mongodb.com
Resource Location

Twitter
# mongoDB Days
Thank You!
#MongoDB

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An afternoon with mongo db new delhi

1. “An Afternoon with MongoDB New Delhi” Director Sales Rajnish Verma #MongoDB

2. MongoDB is a Modern Database Next generation of database designed to solve next generation problems.

3. 40 years back…..in 1970

4. RDBMS invented…

5. Why Modern Database…..

6. 90 80 2X

7. 3V Volume Velocity Variety

8. At cost of Technology Revenue

9. For the first time in 40 years the relational database has legitimate challengers

10. MongoDB vs RDBMS

11. Data Management c. 1970

12. Requirements • Aggregate disparate data • Change apps quickly • Analyze data faster • Store more data • Increase productivity • ReduceTCO drastically Putting Urgency on These IT Requirements Like Never Before

13. Unfortunately, RDBMSs Not Built for These Requirements Data Types & OOP • Unstructured data • Semi-structured data • Polymorphic data Volume of Data • Petabytes of data • Trillions of records • Tens of millions of queries per second Agile Development • Iterative • Short development cycles • New workloads New Architectures • Horizontal scaling • Commodity servers • Cloud computing

14. Then Now Tabular Everything Waterfall Iterative Data Center Cloud PC Mobile CIO Developers

15. Now There Is Help 2010 RDBMS Key-Value/ Column Store OLAP/BI Hadoop 2000 RDBMS OLAP/BI 1990 RDBMS Operational Data Datawarehouse Document DB NoSQL

16. Database Landscape • No Automatic Joins • Document Transactions • Fast, Scalable Read/Writes

17. 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

18. MongoDB and Enterprise IT Stack EDWHadoop Management&Monitoring Security&Auditing RDBMS CRM, ERP, Collaboration, Mobile, BI OS & Virtualization, Compute, Storage, Network RDBMS Applications Infrastructure Data Management Online Data Offline Data

19. We’re your partner

20. Subscription Decision Matrix Do you need… Yes No Advanced Security? ✔ Disaster recovery? ✔ Monitoring for system performance and availability? ✔ Automated lifecycle management (provisioning, configuration and zero downtime upgrades)? ✔ Guaranteed response time? ✔ Platform certification? ✔

21. *Requires Oracle Advanced Security at $15k per processor Oracle MySQL MongoDB Cassandra Couchbase Authentication LDAP     Via Memcached Client Kerberos *     x.509 Certificates *     Authorization User-Defined Roles      Field Level Security *     Auditing (Admin Actions)      Encryption SSL *     FIPS 140-2 *    

22. MongoDB is good for… 360 Degree View of the Customer Mobile & Social Apps Fraud Detection User Data Management Content Management & Delivery Reference Data Product Catalogs Machine to Machine Apps Data Hub

23. Data HubUser Data Management Big Data Content Mgmt & Delivery Mobile & Social MongoDB Solutions

24. Leading Organizations Rely on MongoDB

25. MongoDB Snapshot 375+ employees 1000+ customers Over $243 million in funding Offices in New York, Palo Alto, Washington DC, London, Dublin, Barcelona, Delhi, Singapore and Sydney

26. 5,000,000+ MongoDB Downloads 100,000+ Online Education Registrants 20,000+ MongoDB User Group Members 20,000+ MongoDB DaysAttendees 20,000+ MongoDB Management Service (MMS) Users

27. DB-Engines.com Ranks DB Popularity

28. For More Information Resource Location MongoDB Downloads mongodb.com/download Free Online Training education.mongodb.com Webinars and Events mongodb.com/events White Papers mongodb.com/white-papers Case Studies mongodb.com/customers Presentations mongodb.com/presentations Documentation docs.mongodb.org Additional Info [email protected] Resource Location

29. Twitter # mongoDB Days Thank You! #MongoDB

Editor's Notes

#3: MongoDB is a Modern Database
#4: MongoDB is a Modern Database
#18: 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
#19: This is where MongoDB fits into the existing enterprise IT stack MongoDB is an operational data store used for online data, in the same way that Oracle is an operational data store. It supports applications that ingest, store, manage and even analyze data in real-time. (Compared to Hadoop and data warehouses, which are used for offline, batch analytical workloads.)

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Editor's Notes