SQL vs NoSQL
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This document discusses SQL versus NoSQL databases. NoSQL databases are better suited for internet-scale applications with massive amounts of data and users due to their ability to provide high availability, high performance, and horizontal scalability. NoSQL databases sacrifice strict ACID properties for looser eventual consistency in order to better serve highly distributed systems. SQL remains preferable when strict ACID properties are required. The document provides examples of MongoDB and concludes that the right database choice depends on the specific needs and use case.
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SQL vs NoSQL
- 1. SQL vs. NoSQL Data in the world of social media Jon Limjap Microsoft MVP for C#
- 2. Who am I? • I’m Jon – Blog: http://dotnet.kapenilattex.com – Twitter: @lattex • Does anybody remember… • I’m a developer, not a DBA • I’ve worked on mainframe, desktop, web, and mobile • I’m a member of MSDEV.PH / PHISSUG / DevCon
- 3. Why not SQL?
- 4. Why not SQL? • Internet scale • 100s of millions of concurrent users • Massive data collections – Terabytes to Petabytes of data • 24/7 across the globe
- 5. Why not SQL?
- 6. NoSQL doesn’t mean no data :p • It’s not Anti SQL or absolutely no SQL • N(ot) O(nly) SQL • Non-relational Databases
- 7. What is NoSQL good for? • High Availability • High Performance • Horizontal Scalability
- 8. Types of NoSQL Data Stores Document Key-Value Column Sets Oriented Store (JSON) XML Graph BLOBs Object Etc…
- 9. Some NoSQL Data Stores
- 10. j = { name : "mongo" } k = { x : 3 } db.things.insert( j ) db.things.insert( k ) db.things.find() { "_id" : ObjectId("4c2209f9f3924d31102bd84a"), "name" : "mongo" } { "_id" : ObjectId("4c2209fef3924d31102bd84b"), "x" : 3 }
- 11. for (var i = 1; i <= 10; i++) db.things.insert( { x : 4 , j : i } ) db.things.find() { "_id" : ObjectId("4c2209f9f3924d31102bd84a"), "name" : "mongo" } { "_id" : ObjectId("4c2209fef3924d31102bd84b"), "x" : 3 } { "_id" : ObjectId("4c220a42f3924d31102bd856"), "x" : 4, "j" : 1 } { "_id" : ObjectId("4c220a42f3924d31102bd857"), "x" : 4, "j" : 2 } { "_id" : ObjectId("4c220a42f3924d31102bd858"), "x" : 4, "j" : 3 } { "_id" : ObjectId("4c220a42f3924d31102bd859"), "x" : 4, "j" : 4 } { "_id" : ObjectId("4c220a42f3924d31102bd85a"), "x" : 4, "j" : 5 } { "_id" : ObjectId("4c220a42f3924d31102bd85b"), "x" : 4, "j" : 6 } { "_id" : ObjectId("4c220a42f3924d31102bd85c"), "x" : 4, "j" : 7 } { "_id" : ObjectId("4c220a42f3924d31102bd85d"), "x" : 4, "j" : 8 } { "_id" : ObjectId("4c220a42f3924d31102bd85e"), "x" : 4, "j" : 9 } { "_id" : ObjectId("4c220a42f3924d31102bd85f"), "x" : 4, "j" : 10 }
- 12. db.things.find({name: "mongo"}) { "_id" : ObjectId("4c2209f9f3924d31102bd84a"), "nam e" : "mongo" }
- 13. What’s the big deal?
- 14. ACID vs. BASE
- 15. ACID vs. BASE • ACID: – Atomic: Every transaction should succeed else transaction is roled back – Consistent: Every transaction leaves database in a valid (consistent) state – Isolation: Transactions don’t interfere with each other – Durable: Completed transactions persist, even when servers restart
- 16. ACID vs. BASE • BASE – Basic Availability: The data store should be up all of the time – Soft state: The data store can be cached somewhere else if the data store is not available – Eventual consistency: The data store can have conflicting transactions, but should eventually reach a valid state
- 17. Where shouldn’t I use NoSQL?
- 18. Conclusion • SQL is great when you need ACID • NoSQL is great when you need BASE • Choose the right tool for the right job
- 19. Thank You! • Blog: http://dotnet.kapenilattex.com • Twitter: @lattex
- 20. References • John D. Cook – ACID versus BASE for database transactions http://www.johndcook.com/blog/2009/07/06/brewer-cap- theorem-base/ • Getting Started with MongoDB Development – http://docs.mongodb.org/manual/tutorial/getting-started/ • Michael Rys – SQL and NoSQL Are Two Sides of the Same Coin – http://www.slideshare.net/MichaelRys/sql-and- nosql-are-two-sides-of-the-same-coin-strata-2012 • Vamshi Krishna Reddy Vangapally – No sql databases - http://www.slideshare.net/vamshi4001/no-sql-databases • Venu Anuganti – SQL, NoSQL, BigData in Data Architecture - http://www.slideshare.net/vanuganti/sql-nosql-bigdata-in- data-architecture