Why NoSQL Makes Sense
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The document discusses NoSQL databases and when they may be preferable to traditional SQL databases. It notes that NoSQL databases are non-relational, support horizontal scaling, and allow for new data models that can improve application development flexibility. Examples showing data structures and queries in MongoDB are provided. Reasons for different database preferences depending on needs like transactions, data structure, performance, and agility are also summarized.
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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
- 18. ThanksDwight MerrimanCEO 10genhttp://blog.mongodb.org/@mongodbme - @dmerrjobs@10gen.comwww.mongodb.orgwww.mongodb.org/display/DOCS/Events