Partner Recruitment Webinar: "Join the Most Productive Ecosystem in Big Data with MongoDB"

Editor's Notes

• #7: Customers (not just users)
• #10: MongoDB provides agility, scalability, and performance without sacrificing the functionality of relational databases, like full index support and rich queriesIndexes: secondary, compound, text search, geospatial, and more
• #13: 3 major trends driving innovation in IT today All of them center around minimizing upfront investment and paying for value over time Development Waterfall -- > Agile Fail fast, fail small Encourage experimentation More responsive to the business 2. Hardware Scale Up -- > Scale Out via cloud and commodity architectures Lower TCO Better cost visibility Less upfront investment, risk of wasted capital 3. Software Big License + Maintenance to Open-Source and SaaS Started with Salesforce.com, Red Hat; now many others following suit Less upfront investment, risk of wasted capital Pay for value over time
• #14: MongoDB is aligned with all 3 of these trends – why its seeing such massive adoption in both enterprises and startups Development RDBMS uses fixed schema MongoDB uses documents instead of tables which have dynamic schemas Allows teams to get started quickly without lots of upfront planning To iterate and adapt as they go To respond to business more quickly E.g., MetLife built 360-degree view of customers in 3 months because it could iterate on the data model 2. Hardware Scale Up -- > Scale Out via cloud and commodity architectures RDBMS is built for scale-up MongoDB is built from the ground for scale out in cloud environments (using data partitioning, i.e., auto-sharding) E.g., Orange saved £2M by moving to MongoDB and migrating to Amazon Web Services 3. Software Big License + Maintenance to Open-Source and SaaS MongoDB is open-source. Community edition is free. Enterprise edition is charged per server, per year – so investment is spread out over time E.g., MongoDB can save companies over 50% on TCO in licensing alone (not even including all other savings in terms of hardware and developer productivity)
• #15: 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.)
• #16: MongoDB is aligned with strategic IT initiatives – like new apps in mobile, etc.; commodity hardware and cloud computing; Hadoop; and so on Just like enterprises are focusing now on apps in mobile, SaaS, and social, and spending less time on innovating on legacy apps… Enterprises are increasingly looking at moving away from Oracle and other proprietary systems to modern data stores like MongoDB to support new app development (and even for migrate legacy applications)
• #17: If GE capitalizes on these changes, it can realize impact to the business Enabling New Apps: MetLife built a 360-degree view of its customers in 3 months. Tried for 2 years with RDBMS and was ultimately impossible Better Customer Experience: eHarmony matches more couples faster -- reduced the time to match singles by 95% by migrating from RDBMS to MongoDB Faster Time to Market: Salesforce.com accelerated its product roadmap by 12 months Lower TCO: Tier 1 investment bank saved $40M over 5 years by migrating from RDBMS to MongoDB.
• #18: Numbers are ROUNDED 71% savings vs. Oracle
• #21: Indeed: #2 just after HTML and ahead of iOS, Android, Hadoop Jasper: 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)
• #22: Indeed: #2 just after HTML and ahead of iOS, Android, Hadoop Jasper: 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)
• #24: Customer Data Management (e.g., Customer Relationship Management, Biometrics, User Profile Management) Product and Asset Catalogs (e.g., eCommerce, Inventory Management) Social and Collaboration Apps: (e.g., Social Networks and Feeds, Document and Project Collaboration Tools) Mobile Apps (e.g., for Smartphones and Tablets) Content Management (e.g, Web CMS, Document Management, Digital Asset and Metadata Management) Internet of Things / Machine to Machine (e.g., mHealth, Connected Home, Smart Meters) Security and Fraud Apps (e.g., Fraud Detection, Cyberthreat Analysis) DbaaS (Cloud Database-as-a-Service) Data Hub (Aggregating Data from Multiple Sources for Operational or Analytical Purposes) Big Data (e.g., Genomics, Clickstream Analysis, Customer Sentiment Analysis)
• #27: Customers (not just users)
• #36: 350+ partners, growing ~20% monthly Certification: Cloud, BI/ETL, Analytics, Auditing/Security Other partners in BI (e.g., Pentaho, Jaspersoft) with many more coming IBM: Standardizing on BSON, MongoDB query language, and MongoDB wire protocol; integration with Guardium security product; integration with WebSphere Red Hat: Collaborating on a secure architecture for MongoDB Informatica: Integration with ETL Amazon: Easily deploy MongoDB on Amazon EC2; we have worked together to develop reference architectures and to use MongoDB with Amazon’s latest technologies, such as SSD instances and Provisioned IOPS (PIOPS) Rackspace: Rackspace offers a purpose-build database-as-a-service offering for MongoDB (through acquisition of ObjectRocket) Microsoft Azure: We have collaborated on tools to make it easy to deploy MongoDB on Microsoft Azure Intel, EMC, NetApp: We’re certified to work with their hardware. More to come.