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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...
cloudcommodityhttp://www.globalnerdy.com/2007/09/07/multicore-musings/
NoSQL = Non-relational next generation operation data stores and databasesno joins +light transactional semantics =   horizontally scalable architectures
Scaling Outdistribution & query modelsConsistent hashingOrder preserving range   chunkingScatter gather
Data modelsno joins +light transactional semantics =     horizontally scalable architecturesImportant side effect :     new data models =        improved ways to develop apps      (“Agility”)
Why NoSQL Makes Sense
{ _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
ThanksDwight MerrimanCEO 10genhttp://blog.mongodb.org/@mongodbme - @dmerrjobs@10gen.comwww.mongodb.orgwww.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 databasesno joins +light transactional semantics = horizontally scalable architectures
  • 5. Scaling Outdistribution & query modelsConsistent hashingOrder preserving range chunkingScatter gather
  • 6. Data modelsno joins +light transactional semantics = horizontally scalable architecturesImportant side effect : new data models = improved ways to develop apps (“Agility”)
  • 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