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Why NoSQL Makes Senseand when to use something else? Dwight Merriman / 10gen / MongoDB
The Scaling ImperativeIt already was needed but now...
cloud commodity http://www.globalnerdy.com/2007/09/07/multicore-musings/
NoSQL =  Non-relational next generation operation data stores and databases no joins + light transactional semantics =    horizontally scalable architectures
Scaling Out distribution & query models Consistent hashing Order preserving range    chunking Scatter gather
Data models no joins + light transactional semantics =      horizontally scalable architectures Important side effect :      new data models =         improved ways to develop apps       (“Agility”)
{  _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah” }
{  _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”] } > db.posts.find( { tags : “news” } )
{  _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ] }
{  _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ], comments : [ { by : “tim157”, text : “great story” }, { by : “gora”, text : “i don’t think so” }, { by : “dmerr”, text : “also check out...” } ] }
{  _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ], comments : [ { by : “tim157”, text : “great story” }, { by : “gora”, text : “i don’t think so” }, { by : “dmerr”, text : “also check out...” } ] } > db.posts.find({title:”Too Big to Fail”}) `
{  _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ], comments : [ { by : “tim157”, text : “great story” }, { by : “gora”, text : “i don’t think so” }, { by : “dmerr”, text : “also check out...” } ] } > db.posts.find( { “comments.by” : “gora” } ) > db.posts.ensureIndex( { “comments.by” : 1 } )
the db space 2000 - 2010 + great for complex transactions + great for tabular data + ad hoc queries easy - O<->R mapping hard - speed/scale challenges - not super agile + ad hoc queries easy + SQL gives us a standard protocol for the interface between clients and servers + scales horizontally better than operational dbs. some scale limits at massive scale - schemas are rigid - real time is hard; very good at bulk nightly data loads
the db space 2000 - 2010 + great for complex transactions + great for tabular data + ad hoc queries easy - O<->R mapping hard - speed/scale challenges - not super agile + ad hoc queries easy + SQL gives us a standard protocol for the interface between clients and servers + scales horizontally better than operational dbs. some scale limits at massive scale - schemas are rigid - real time is hard; very good at bulk nightly data loads
the db space 2000 - 2010 + great for complex transactions + great for tabular data + ad hoc queries easy - O<->R mapping hard - speed/scale challenges - not super agile + ad hoc queries easy + SQL gives us a standard protocol for the interface between clients and servers + scales horizontally better than operational dbs. some scale limits at massive scale - schemas are rigid - real time is hard; very good at bulk nightly data loads
the db space + fits OO programming well + agile + speed/scale - querying a little less add hoc - not super transactional - not sql
Thanks Dwight Merriman CEO 10gen http://blog.mongodb.org/ @mongodb me - @dmerr jobs@10gen.com www.mongodb.org www.mongodb.org/display/DOCS/Events

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Why NoSQL Makes Sense

  • 1. Why NoSQL Makes Senseand when to use something else? Dwight Merriman / 10gen / MongoDB
  • 2. The Scaling ImperativeIt already was needed but now...
  • 4. NoSQL = Non-relational next generation operation data stores and databases no joins + light transactional semantics = horizontally scalable architectures
  • 5. Scaling Out distribution & query models Consistent hashing Order preserving range chunking Scatter gather
  • 6. Data models no joins + light transactional semantics = horizontally scalable architectures Important side effect : new data models = improved ways to develop apps (“Agility”)
  • 7.
  • 8. { _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah” }
  • 9. { _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”] } > db.posts.find( { tags : “news” } )
  • 10. { _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ] }
  • 11. { _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ], comments : [ { by : “tim157”, text : “great story” }, { by : “gora”, text : “i don’t think so” }, { by : “dmerr”, text : “also check out...” } ] }
  • 12. { _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ], comments : [ { by : “tim157”, text : “great story” }, { by : “gora”, text : “i don’t think so” }, { by : “dmerr”, text : “also check out...” } ] } > db.posts.find({title:”Too Big to Fail”}) `
  • 13. { _id : ObjectId("4e2e3f92268cdda473b628f6"), title : “Too Big to Fail”, when : Date(“2011-07-26”), author : “joe”, text : “blah”, tags : [“business”, “news”, “north america”], votes : 3, voters : [“dmerr”, “sj”, “jane” ], comments : [ { by : “tim157”, text : “great story” }, { by : “gora”, text : “i don’t think so” }, { by : “dmerr”, text : “also check out...” } ] } > db.posts.find( { “comments.by” : “gora” } ) > db.posts.ensureIndex( { “comments.by” : 1 } )
  • 14. the db space 2000 - 2010 + great for complex transactions + great for tabular data + ad hoc queries easy - O<->R mapping hard - speed/scale challenges - not super agile + ad hoc queries easy + SQL gives us a standard protocol for the interface between clients and servers + scales horizontally better than operational dbs. some scale limits at massive scale - schemas are rigid - real time is hard; very good at bulk nightly data loads
  • 15. the db space 2000 - 2010 + great for complex transactions + great for tabular data + ad hoc queries easy - O<->R mapping hard - speed/scale challenges - not super agile + ad hoc queries easy + SQL gives us a standard protocol for the interface between clients and servers + scales horizontally better than operational dbs. some scale limits at massive scale - schemas are rigid - real time is hard; very good at bulk nightly data loads
  • 16. the db space 2000 - 2010 + great for complex transactions + great for tabular data + ad hoc queries easy - O<->R mapping hard - speed/scale challenges - not super agile + ad hoc queries easy + SQL gives us a standard protocol for the interface between clients and servers + scales horizontally better than operational dbs. some scale limits at massive scale - schemas are rigid - real time is hard; very good at bulk nightly data loads
  • 17. the db space + fits OO programming well + agile + speed/scale - querying a little less add hoc - not super transactional - not sql
  • 18. Thanks Dwight Merriman CEO 10gen http://blog.mongodb.org/ @mongodb me - @dmerr jobs@10gen.com www.mongodb.org www.mongodb.org/display/DOCS/Events