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Total Cost of Ownership
 Analysis for MongoDB

                       Graham Neray
                     gn@10gen.com
           Product Marketing Manager
                               10gen
Agenda

•  Quick Intro. to MongoDB
•  Total Cost of Ownership (TCO) Framework:
   Upfront + Ongoing Costs
•  Example Scenarios
•  About 10gen




                        2
MongoDB Can Save You 70% or More

                              Developer/Ops Savings
                              •  Ease of Use
                              •  Agile development
                              •  Less maintenance

                              Hardware Savings
                              •  Commodity servers
                              •  Internal storage (no SAN)
                              •  Scale out, not up

         DB Alternative
                              Software/Support Savings
                              •  No upfront license
                              •  Cost visibility for usage growth


                          3
MongoDB Introduction

10gen is the company behind MongoDB –
the leading NoSQL database




 Document          General               Open-
                   Purpose              Source


                      4
Introduction to Total Cost of
           Ownership (TCO)
Goal of TCO Analysis

•  Goal
  –  Capture key costs associated with a
     business, project, etc.
  –  Compare multiple scenarios or options
•  Upfront and ongoing costs
•  Assumed period of time




                        6
TCO Framework

Upfront Costs
Resource                        Ongoing Costs
                                Location

 Initial Developer Effort       Ongoing Developer Effort

 Initial Admin. Effort          Ongoing Admin. Effort

 Software Licenses              Software Maintenance & Support

 Server HW                      Server Maintenance & Support

 Storage HW                     Storage Maintenance & Support

                                Misc. Deployment Costs (N/A)




                            7
Upfront Costs
Initial Developer Effort

                  •  Developer coding required to get application and data
  Description        store to work together




                      Key Considerations

 Dynamic
                  JSON           Ease of Use
 Schemas


          Cloud            Ease of
       Architecture       Licensing

   2X + more productive with MongoDB

                                 9
Initial Administrative Effort

                   •  Admin/s to install and configure software, cluster
  Description         machines, set up sharding, etc.




                      Key Considerations


              Native                                         Native
                                   Few Settings
            Replication                                     Caching



                 Auto-
                Sharding


                                   10
Software Licenses

                      •  All software related to the data store itself, as well as
  Description            management tasks like clustering, replication and
                         caching


                         Key Considerations


Per-Server vs. Per-
   Core Pricing


   Standard vs.
    Enterprise


                                      11
Server Hardware

                    •  Servers required to run database (excludes storage)
  Description       •  Driven mainly by number and type of processors and
                       RAM


                       Key Considerations

  Scale-Out vs.
                                                       Cloud Computing
    Scale-Up




Commodity Servers


                                   12
Storage Hardware

                 •  Storage required to store the data
 Description     •  Varies depending on amount and type of storage
                    (e.g., internal vs. shared, HDD vs. SSD)


                    Key Considerations

                                                     Solid State Drives
 Local Storage
                                                           (SSDs)




            SAN
                                13
Ongoing Costs
Ongoing Developer Effort

                    •  Coding needed to adapt data store to customer,
 Description           market and business needs




                       Key Considerations

                            Change
  Add Fields
                            Schemas


  Agile Dev.             No Downtime


               Developers get more done w/MongoDB

                                   15
Ongoing Administrative Effort

                    •  Admin. effort to keep data store healthy and running
  Description          (e.g., planning for downtime, upgrading SW and HW)




                       Key Considerations


DBAs Leverage Existing Skills
                                    Native Replication à
                                         HW Swaps,
                                     OS Upgrades, etc.
         Few Tasks
(e.g., manage Linux settings)

                                   16
Software Maintenance and Support

                  •  Maintenance: upgrades and bug fixes to software
 Description      •  Support: on-call assistance for troubleshooting
                     technical problems with software


                     Key Considerations


        MongoDB:                             Other RDBMS:
   $4K per server per year                 22% of License Fees




                                 17
Hardware Maintenance and Support

                 •  Maintenance: upgrades and bug fixes to firmware
 Description        and any software that comes with hardware
                 •  Support: on-call assistance for troubleshooting HW


                      Key Considerations


    10% of HW Costs



No SANs à Lower Storage
   Maintenance Costs


                                18
Example Scenarios
These Are Examples

•  Costs vary by use case
•  Illustrative and directional
•  Framework is a starting point
•  Framework is technology-agnostic




                            20
Smaller Enterprise Project




                                       Oracle Real Application
  Software    MongoDB Enterprise
                                       Clusters (RAC)

              3 Servers (8 Cores, 32   3 Servers (8 Cores, 32
  Server HW
              GB RAM per server)       GB RAM per server)

              3 One-TB SSDs
 Storage HW                            3 TB SAN (usable)
              (mirrored)




                           21
Smaller Project – Upfront Costs


 Initial Dev.            •  12 man-months                  •  24 man-months
                 $120K                             $240K
    Effort               •  $120K annual salary            •  $120K annual salary

Initial Admin.           •  1 man-month                    •  2 man-months
                 $10K    •  $120K annual salary    $20K    •  $120K annual salary
     Effort
  Software               •  (Ongoing Cost for              •  $17.6K/core
                 $0         Subscription)          $423K   •  75% discount
  Licenses
                         •  3 servers; 8/cores &           •  3 servers; 8/cores &
 Server HW       $12K       32GB RAM/server        $12K       32GB RAM/server
                         •  $4K/server                     •  $4K/server
                         •  2 One-TB SSDs/server
                                                           •  3 TB SAN
Storage HW       $24K       (1 mirrored SSD)       $125K   •  $125K
                         •  $4K/SSD


Total Upfront            $166K                             $820K

                                          22
Smaller Project – Ongoing Costs


Ongoing Dev.              •  0.5 developers                  •  1 developer
                $60K                               $120K
   Effort                 •  $120K annual salary             •  $120K annual salary

  Ongoing                 •  0.25 DBAs                       •  0.5 DBAs
                $30K      •  $120K annual salary   $60K      •  $120K annual salary
Admin. Effort
SW Maint. &               •  3 servers
                $12K      •  $4K/server/year       $93K      •  22% of license fees
 Support
HW Maint. &
                $4K       •  10% of HW cost        $14K      •  10% of HW cost
 Support
Total Ongoing
                       $106K per Year                     $287K per Year
   per Year
Total Ongoing
 over 3 Years            $317K                              $860K

                                           23
Smaller Project – 3-Year TCO

71% savings vs. Oracle
                              $1,680K


                               $860K




            $483K
                               $820K
             $317K

             $166K



                         24
Larger Enterprise Project




                                        Oracle Real Application
  Software    MongoDB Enterprise
                                        Clusters (RAC)

              30 Servers (8 Cores, 32   30 Servers (8 Cores, 32
  Server HW
              GB RAM per server)        GB RAM per server)

              30 One-TB SSDs
 Storage HW                             30 TB SAN (usable)
              (mirrored)




                           25
Larger Project – Upfront Costs


 Initial Dev.            •  36 man-months                     •  72 man-months
                 $360K                              $720K
    Effort               •  $120K annual salary               •  $120K annual salary

Initial Admin.           •  3 man-months                      •  6 man-months
                 $30K    •  $120K salary            $60K      •  $120K annual salary
     Effort
  Software               •  (Ongoing Cost for                 •  $17.6K/core (assumes
                 $0         Subscription)           $4,230K      75% discount)
  Licenses
                         •  30 servers; 8/cores &             •  30 servers; 8/cores &
 Server HW       $120K      32GB RAM/server         $120K        32GB RAM/server
                         •  $4K/server                        •  $4K/server
                         •  2 One-TB SSDs/server
                                                              •  30 TB SAN
Storage HW       $240K      (1 mirrored SSD)        $500K     •  $500K
                         •  $4K/SSD


Total Upfront            $750K                              $5,630K

                                           26
Larger Project – Ongoing Costs


Ongoing Dev.              •  1.5 developers                    •  3 developers
                $180K                                 $360K
   Effort                 •  $120K salary                      •  $120K salary

  Ongoing                 •  0.75 DBAs                         •  1.5 DBAs
                $90K      •  $120K annual salary      $180K    •  $120K annual salary
Admin. Effort
                          •  30 servers
SW Maint. &
                $108K     •  $3.6K/server/year (10%   $931K    •  22% of license fees
 Support                     discount)

HW Maint. &
                $36K      •  10% of HW cost           $62K     •  10% of HW cost
 Support
Total Ongoing
                       $414K per Year                    $1,533K per Year
   per Year
Total Ongoing
 over 3 Years           $1,242K                               $4,598K

                                              27
Larger Project – 3-Year TCO

81% savings vs. Oracle        $10,228K


                               $4,598K




            $1,992K            $5,630K

             $1,242K
              $750K



                         28
Topline Benefits
Topline Benefits




      Agility           Time-to-
                         Market


                   30
MongoDB Can Save You 70% or More

Developer/Ops Savings
•  Ease of Use
•  Agile development
•  Less maintenance

Hardware Savings
•  Commodity servers
•  Internal storage (no SAN)
•  Scale out, not up

Software/Support Savings                   DB Alternative
•  No upfront license
•  Cost visibility for usage growth


                                      31
White Paper




A Total Cost of
Ownership Comparison
of MongoDB & Oracle
http://www.10gen.com/datasheets-and-white-papers




                                              32
About 10gen and
      MongoDB
About 10gen




       170+ employees                              500+ customers




                                     Offices in New York, Palo Alto, Washington
  Over $81 million in funding        DC, London, Dublin, Barcelona and Sydney


                                34
Leading Organizations Rely on MongoDB




                  35
Global MongoDB Community

41,000+
Monthly Unique Downloads

24,000+
Online Education Registrants

12,000+
MongoDB User Group Members

10,000+
Annual MongoDB Days Attendees


                               36
10gen Products and Services

      Subscriptions
      Professional Support, Subscriber Edition and Commercial License



      Consulting
      Expert Resources for All Phases of MongoDB Implementations



      Training
      Online and In-Person for Developers and Administrators




                            37
Contact 10gen



      Sales           10gen.com/contact




  Graham Neray         gn@10gen.com




                 38
For More Information

 Resource                    Location

 MongoDB Downloads           www.mongodb.org/download

 Free Online Training        education.10gen.com

 Webinars and Events         www.10gen.com/events

 White Papers                www.10gen.com/white-papers

 Case Studies                www.10gen.com/customers

 Presentations               www.10gen.com/presentations

 Documentation               docs.mongodb.org

 Additional Info             info@10gen.com


                        39
Webinar: A Total Cost of Ownership Analysis for MongoDB

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Webinar: A Total Cost of Ownership Analysis for MongoDB

  • 1. Total Cost of Ownership Analysis for MongoDB Graham Neray gn@10gen.com Product Marketing Manager 10gen
  • 2. Agenda •  Quick Intro. to MongoDB •  Total Cost of Ownership (TCO) Framework: Upfront + Ongoing Costs •  Example Scenarios •  About 10gen 2
  • 3. MongoDB Can Save You 70% or More Developer/Ops Savings •  Ease of Use •  Agile development •  Less maintenance Hardware Savings •  Commodity servers •  Internal storage (no SAN) •  Scale out, not up DB Alternative Software/Support Savings •  No upfront license •  Cost visibility for usage growth 3
  • 4. MongoDB Introduction 10gen is the company behind MongoDB – the leading NoSQL database Document General Open- Purpose Source 4
  • 5. Introduction to Total Cost of Ownership (TCO)
  • 6. Goal of TCO Analysis •  Goal –  Capture key costs associated with a business, project, etc. –  Compare multiple scenarios or options •  Upfront and ongoing costs •  Assumed period of time 6
  • 7. TCO Framework Upfront Costs Resource Ongoing Costs Location Initial Developer Effort Ongoing Developer Effort Initial Admin. Effort Ongoing Admin. Effort Software Licenses Software Maintenance & Support Server HW Server Maintenance & Support Storage HW Storage Maintenance & Support Misc. Deployment Costs (N/A) 7
  • 9. Initial Developer Effort •  Developer coding required to get application and data Description store to work together Key Considerations Dynamic JSON Ease of Use Schemas Cloud Ease of Architecture Licensing 2X + more productive with MongoDB 9
  • 10. Initial Administrative Effort •  Admin/s to install and configure software, cluster Description machines, set up sharding, etc. Key Considerations Native Native Few Settings Replication Caching Auto- Sharding 10
  • 11. Software Licenses •  All software related to the data store itself, as well as Description management tasks like clustering, replication and caching Key Considerations Per-Server vs. Per- Core Pricing Standard vs. Enterprise 11
  • 12. Server Hardware •  Servers required to run database (excludes storage) Description •  Driven mainly by number and type of processors and RAM Key Considerations Scale-Out vs. Cloud Computing Scale-Up Commodity Servers 12
  • 13. Storage Hardware •  Storage required to store the data Description •  Varies depending on amount and type of storage (e.g., internal vs. shared, HDD vs. SSD) Key Considerations Solid State Drives Local Storage (SSDs) SAN 13
  • 15. Ongoing Developer Effort •  Coding needed to adapt data store to customer, Description market and business needs Key Considerations Change Add Fields Schemas Agile Dev. No Downtime Developers get more done w/MongoDB 15
  • 16. Ongoing Administrative Effort •  Admin. effort to keep data store healthy and running Description (e.g., planning for downtime, upgrading SW and HW) Key Considerations DBAs Leverage Existing Skills Native Replication à HW Swaps, OS Upgrades, etc. Few Tasks (e.g., manage Linux settings) 16
  • 17. Software Maintenance and Support •  Maintenance: upgrades and bug fixes to software Description •  Support: on-call assistance for troubleshooting technical problems with software Key Considerations MongoDB: Other RDBMS: $4K per server per year 22% of License Fees 17
  • 18. Hardware Maintenance and Support •  Maintenance: upgrades and bug fixes to firmware Description and any software that comes with hardware •  Support: on-call assistance for troubleshooting HW Key Considerations 10% of HW Costs No SANs à Lower Storage Maintenance Costs 18
  • 20. These Are Examples •  Costs vary by use case •  Illustrative and directional •  Framework is a starting point •  Framework is technology-agnostic 20
  • 21. Smaller Enterprise Project Oracle Real Application Software MongoDB Enterprise Clusters (RAC) 3 Servers (8 Cores, 32 3 Servers (8 Cores, 32 Server HW GB RAM per server) GB RAM per server) 3 One-TB SSDs Storage HW 3 TB SAN (usable) (mirrored) 21
  • 22. Smaller Project – Upfront Costs Initial Dev. •  12 man-months •  24 man-months $120K $240K Effort •  $120K annual salary •  $120K annual salary Initial Admin. •  1 man-month •  2 man-months $10K •  $120K annual salary $20K •  $120K annual salary Effort Software •  (Ongoing Cost for •  $17.6K/core $0 Subscription) $423K •  75% discount Licenses •  3 servers; 8/cores & •  3 servers; 8/cores & Server HW $12K 32GB RAM/server $12K 32GB RAM/server •  $4K/server •  $4K/server •  2 One-TB SSDs/server •  3 TB SAN Storage HW $24K (1 mirrored SSD) $125K •  $125K •  $4K/SSD Total Upfront $166K $820K 22
  • 23. Smaller Project – Ongoing Costs Ongoing Dev. •  0.5 developers •  1 developer $60K $120K Effort •  $120K annual salary •  $120K annual salary Ongoing •  0.25 DBAs •  0.5 DBAs $30K •  $120K annual salary $60K •  $120K annual salary Admin. Effort SW Maint. & •  3 servers $12K •  $4K/server/year $93K •  22% of license fees Support HW Maint. & $4K •  10% of HW cost $14K •  10% of HW cost Support Total Ongoing $106K per Year $287K per Year per Year Total Ongoing over 3 Years $317K $860K 23
  • 24. Smaller Project – 3-Year TCO 71% savings vs. Oracle $1,680K $860K $483K $820K $317K $166K 24
  • 25. Larger Enterprise Project Oracle Real Application Software MongoDB Enterprise Clusters (RAC) 30 Servers (8 Cores, 32 30 Servers (8 Cores, 32 Server HW GB RAM per server) GB RAM per server) 30 One-TB SSDs Storage HW 30 TB SAN (usable) (mirrored) 25
  • 26. Larger Project – Upfront Costs Initial Dev. •  36 man-months •  72 man-months $360K $720K Effort •  $120K annual salary •  $120K annual salary Initial Admin. •  3 man-months •  6 man-months $30K •  $120K salary $60K •  $120K annual salary Effort Software •  (Ongoing Cost for •  $17.6K/core (assumes $0 Subscription) $4,230K 75% discount) Licenses •  30 servers; 8/cores & •  30 servers; 8/cores & Server HW $120K 32GB RAM/server $120K 32GB RAM/server •  $4K/server •  $4K/server •  2 One-TB SSDs/server •  30 TB SAN Storage HW $240K (1 mirrored SSD) $500K •  $500K •  $4K/SSD Total Upfront $750K $5,630K 26
  • 27. Larger Project – Ongoing Costs Ongoing Dev. •  1.5 developers •  3 developers $180K $360K Effort •  $120K salary •  $120K salary Ongoing •  0.75 DBAs •  1.5 DBAs $90K •  $120K annual salary $180K •  $120K annual salary Admin. Effort •  30 servers SW Maint. & $108K •  $3.6K/server/year (10% $931K •  22% of license fees Support discount) HW Maint. & $36K •  10% of HW cost $62K •  10% of HW cost Support Total Ongoing $414K per Year $1,533K per Year per Year Total Ongoing over 3 Years $1,242K $4,598K 27
  • 28. Larger Project – 3-Year TCO 81% savings vs. Oracle $10,228K $4,598K $1,992K $5,630K $1,242K $750K 28
  • 30. Topline Benefits Agility Time-to- Market 30
  • 31. MongoDB Can Save You 70% or More Developer/Ops Savings •  Ease of Use •  Agile development •  Less maintenance Hardware Savings •  Commodity servers •  Internal storage (no SAN) •  Scale out, not up Software/Support Savings DB Alternative •  No upfront license •  Cost visibility for usage growth 31
  • 32. White Paper A Total Cost of Ownership Comparison of MongoDB & Oracle http://www.10gen.com/datasheets-and-white-papers 32
  • 33. About 10gen and MongoDB
  • 34. About 10gen 170+ employees 500+ customers Offices in New York, Palo Alto, Washington Over $81 million in funding DC, London, Dublin, Barcelona and Sydney 34
  • 35. Leading Organizations Rely on MongoDB 35
  • 36. Global MongoDB Community 41,000+ Monthly Unique Downloads 24,000+ Online Education Registrants 12,000+ MongoDB User Group Members 10,000+ Annual MongoDB Days Attendees 36
  • 37. 10gen Products and Services Subscriptions Professional Support, Subscriber Edition and Commercial License Consulting Expert Resources for All Phases of MongoDB Implementations Training Online and In-Person for Developers and Administrators 37
  • 38. Contact 10gen Sales 10gen.com/contact Graham Neray gn@10gen.com 38
  • 39. For More Information Resource Location MongoDB Downloads www.mongodb.org/download Free Online Training education.10gen.com Webinars and Events www.10gen.com/events White Papers www.10gen.com/white-papers Case Studies www.10gen.com/customers Presentations www.10gen.com/presentations Documentation docs.mongodb.org Additional Info info@10gen.com 39