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MongoDB Partner Program Update - November 2013

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MongoDB Partner Program Update - November 2013

  1. 1. MongoDB Partner Program Quarterly Update November 2013
  2. 2. Webinar Logistics • There is a Q&A following the webinar. You can enter questions in the Q&A box to the ‘Host and Presenter’. • A recording of the webinar will be available and emailed in a followup email. • Audio should start immediately when you log into the event via Audio Broadcast. You will need a VOIP headset and reliable internet connection for Audio Broadcast. If you are having issues connecting please dial 1-877-668-4493; Access code: 662 144 306 or ask a question in the Chat box. • For any other issues please email webinars@mongodb.com. 2
  3. 3. Webinar Logistics • Adam Kroll (me) • Kelly Stirman, Director of Product Marketing • Melia Jones, Event Coordinator 3
  4. 4. A Brief History • By the fall 2012, MongoDB, then 10gen, had a small group of partners, the genesis of a program • We developed more concrete goals for our work with partners, and started to develop a program that could scale faster than our own team • Started small (basic), with Program ‘v1.0’ 4
  5. 5. As of Today • Grew from 200 to nearly 300 partners last quarter • Updated framework and branding • Doubled the number of staff dedicated to partners • Launched a partner portal • Behind-the-scenes work to raise awareness internally about partners within MongoDB 5
  6. 6. Program Framework (Updated) MongoDB Strategic Partners MongoDB Advanced Partners MongoDB Ready Partners 6
  7. 7. By the Numbers MongoDB Partner Program, born March 2013 Total Program Size: 298 Partners, by Category 250 200 150 100 50 0 Hardware Channel 7 Cloud Software Services
  8. 8. Some of Our Partners 8
  9. 9. New Exclusive Benefits Partner Communications • • Quarterly update webinars Emails with information about partner program features Partner Technical Services • • Dedicated technical resources for strategic partners Select assistance by request for specific live opportunities Education • • • Complimentary access to MongoDB University, on-demand Discounts on public training classes Sales- and presales-specific education For Advanced and Strategic Partners • • Co-marketing page template Technical resource outline for presales team 9
  10. 10. Spotlight on Education • MongoDB University – On-demand: MongoDB for Developers (M101J or M101P) and MongoDB for DBAs (M102) • MongoDB Public Training Class – MongoDB for Developers – MongoDB for DBAs – MongoDB Essentials mongodb.com/products/training • Certification – DBA, Associate – Application Developer, Associate 10
  11. 11. MongoDB Partner Portal www.mongodb.com/partners/portal 11
  12. 12. MongoDB Partner Portal 12
  13. 13. Program Roadmap • Advanced Partner application form • More sales and presales enablement topics • Best practices for technology integrations • Dynamic filtering of partner listings on MongoDB.com 13
  14. 14. What Next? • Checklist for new(er) partners: – Register for access to the MongoDB Partner Portal – Submit your logo through the portal for listing on MongoDB.com – List MongoDB as a partner on your website (refer to Brand Resources in the portal) – Sign up for MongoDB University to get up to speed – Review marketing opportunities to participate in conferences and community events – *NEW* Learn about MongoDB certification exams at university.mongodb.com! 14
  15. 15. Roadmap
  16. 16. What’s New in MongoDB 2.4
  17. 17. Recent Release History 2.0 Sept ‘11 Index enhancements to improve size and performance Authentication with sharded clusters Replica Set Enhancements Concurrency improvements 17 2.2 Aug ‘12 2.4 Mar‘13 Aggregation Framework Hash-based sharding Multi-Data Center Deployments Text Search Improved Performance and Concurrency V8 JavaScript engine Faster counts 2.6 Winter ‘13
  18. 18. Areas of Improvement • Developer Productivity • Operations • Performance • Security 18
  19. 19. Developer Productivity • Capped Arrays – Ordered arrays of fixed length • Geospatial Enhancements – Polygon intersections – More accurate spherical model – $near and $within work with Aggregation Framework • Text Search (beta in 2.4) – Real-time indexes – Stemming, tokenization, stop words for 15 languages – Simplified application architecture 19
  20. 20. Operations • Hash-based Sharding – Simple, even distribution for reads and writes • Working Set Analyzer – Simplified capacity planning • Improved Replication – More resilient to network hiccups • Mongo Client – Intuitive, consistent interactions for all drivers 20
  21. 21. Performance • V8 JavaScript Engine – Greater concurrency, faster performance • Faster Counts – Low cardinality index-based counts up to 20x faster • Aggregation Framework – 3–5 x faster on average 21
  22. 22. Security • SASL-based Authentication Framework – Kerberos support included with MongoDB Enterprise • Role-based Privileges – Separate responsibilities for server, database and cluster administration 22
  23. 23. Use Cases
  24. 24. Data Model Low Latency Scalability Rapid Dev Analytics Rich Indexes User Data ✔ ✔ ✔ ✔ ✔ ✔ Asset Catalog ✔ ✔ ✔ ✔ Time Series ✔ ✔ ✔ ✔ ✔ Social Feeds ✔ ✔ ✔ ✔ Data Hub ✔ ✔ ✔ ✔ Location Services ✔ ✔ ✔ ✔ Mobile Apps ✔ ✔ ✔ ✔ ✔ ✔ ✔ ✔
  25. 25. User Data • Examples – Gaming systems – User profiles – Session data – Transaction history – Biometrics • Data Model – flexible, efficient model for sparse metadata • Low Latency – instantaneous user experience • Scalability – quickly scale to millions of users • Rapid Dev – deliver new features in weeks • Analytics – session personalization, fraud detection • Rich Indexes – query on any attribute quickly
  26. 26. Asset Catalog • Examples – User profiles – Session data – Transaction history – Biometrics • • Data Model – efficiently store entity attribute volatility Low Latency – read+write to power online apps, including inventory and price Analytics – analyze live data with low-latency Rich Indexes – query on any attribute quickly • •
  27. 27. Time Series • Examples – Click streams – Log data – Sensor data – Tick data • Data Model – efficiently store aggregated data for visualization, alerting • Low Latency – capture, analyze and alert in real-time • Scalability – elastic scale out for data, writes and reads • Analytics – analyze live data with low-latency • Rich Indexes – precisely filter to critical events for analysis
  28. 28. Social Feeds • Examples – Twitter-like apps – Pinterist-like apps – Gmail-like apps • Data Model – efficient for storing data for large-scale celebrity:followers workload • Low Latency – instantaneous experience for users • Scalability – quickly scale to millions of users • Rapid Dev – deliver new features in weeks • Rich Indexes – query on any attribute quickly, including text search
  29. 29. Data Hub • Examples – 360 degree view (customer, product, market, etc) – High-speed data feeds – ODS • Data Model – quickly store all source data without extensive ETL or schema design • Low Latency – build interactive apps • Scalability – encompass broad set of source systems • Rapid Dev – deliver new features in weeks • Analytics – analyze live data with low-latency • Rich Indexes – query on any attribute quickly
  30. 30. Location Services • Examples – Location Based Services – Gaming apps – Government apps – Fleet tracking & optimization • Data Model – model rich data sources, including complex geospatial • Low Latency – interactive tracking and analytics • Rapid Dev – deliver new features in weeks • Rich Indexes – query on any attribute quickly, including complex polygon, line, circle predicates
  31. 31. Mobile Apps • Examples – iOS, Android, Windows apps – Mobile-enabling legacy apps • Data Model – efficiently store entity attribute volatility • Low Latency – read+write to power online apps • Scalability – quickly scale to millions of users • Rapid Dev – deliver new features in weeks • Rich Indexes – query on any attribute quickly
  32. 32. Beyond MongoDB 2.4
  33. 33. Near Term • Optimizer improvements, powered by new indexing API • Background indexing on secondaries • New update operators • Security – Multiply counters ($mul) – – • – Less network resource usage – Parallel bulk writes • Aggregation Framework – Write to collection with $out – Set operators: subsets, intersections, unions, diff 33 • User-defined roles – Sharded Clusters Auditing – – xor operation for $bit LDAP, x.509 Authentication Collection-level authorization Text Search – Integrated with other queries – Multi-language documents – Aggregate text search results
  34. 34. Further Out • Schema validation • Improved concurrency • Storage efficiency • Multi-master collections 34
  35. 35. MongoDB Offerings • MongoDB Management Service – tools to help you get the most from your MongoDB system – Monitoring – real-time visualization, alerting on 100+ stats – Backup – continuous, incremental backup, point-intime recovery – Available in the cloud and on-prem for subscribers • Product Launch Services 35 – Product launches, critical events, system migrations – Dedicated expert on-call pre and post-launch 24/7 – Reflects 100s of projects with users
  36. 36. MongoDB Offerings • Advanced Ops Training – Wargaming model with hands-on scenarios on EC2 – Simulates havoc in your MongoDB systems – Develop skills and confidence in controlled environment • MongoDB Certification – For developers and DBAs – Free online training prepares you, not required – Coming in December 36
  37. 37. MongoDB World 2014
  38. 38. MongoDB World • First Multi-Day, International Conference • June 23 – 25, NY NY • Executive Track • Target Attendance: 2,000 38
  39. 39. Questions? • info@mongodb.com
  40. 40. Available Sponsorships: • Diamond: $150,000 – 2 Available – 20x10 Booth – Includes Keynote & breakout session • Platinum: $100,000 – 4 available – 20x10 Booth – Includes Breakout Session • Gold: $60,000 – 10 available – 10x10 Booth • Silver: $30,000 – 20 Available 40 – 10x5 turn-key booth

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