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NOSQL Overview Lightning Talk (Scalability Geekcruise 2009)
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NOSQL Overview Lightning Talk (Scalability Geekcruise 2009)

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15 min lightning talk introducing the NOSQL space to the Scalability Geekcruise 2009.

15 min lightning talk introducing the NOSQL space to the Scalability Geekcruise 2009.

Published in Technology
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  • 1. NOSQL 15 minutes of write performance #neo4j Emil Eifrem @emileifrem CEO, Neo Technology emil@neotechnology.com
  • 2. Trend 1: data set size 40 2007 Source: IDC 2007
  • 3. 988 Trend 1: data set size 40 2007 2010 Source: IDC 2007
  • 4. Trend 2: connectedness Giant Global Information connectivity Graph (GGG) Ontologies RDF Folksonomies Tagging User- Wikis generated content Blogs RSS Hypertext Text documents web 1.0 web 2.0 “web 3.0” 1990 2000 2010 2020
  • 5. Trend 3: semi-structure Individualization of content! In the salary lists of the 1970s, all elements had exactly one job In the salary lists of the 2000s, we need 5 job columns! Or 8? Or 15? Trend accelerated by the decentralization of content generation that is the hallmark of the age of participation (“web 2.0”)
  • 6. Aside: RDBMS performance Relational database Salary List Performance Majority of Webapps Social network Semantic } Trading custom Data complexity
  • 7. Trend 4: architecture 1990s: Database as integration hub
  • 8. Trend 4: architecture 2000s: (Slowly towards...) Decoupled services with own backend
  • 9. Why NoSQL 2009? Trend 1: Size. Trend 2: Connectivity. Trend 3: Semi-structure. Trend 4: Architecture.
  • 10. NoSQL overview
  • 11. First off: the damn name NoSQL is NOT “Never SQL” NoSQL is NOT “No To SQL”
  • 12. NOSQL is simply Not Only SQL!
  • 13. Four (emerging) NOSQL categories Key-value stores Based on Amazon's Dynamo paper Data model: (global) collection of K-V pairs Example: Dynomite, Voldemort, Tokyo BigTable clones Based on Google's BigTable paper Data model: big table, column families Example: Hbase, Hypertable
  • 14. Four (emerging) NOSQL categories Document databases Inspired by Lotus Notes Data model: collections of K-V collections Example: CouchDB, MongoDB Graph databases Inspired by Euler & graph theory Data model: nodes, rels, K-V on both Example: AllegroGraph, VertexDB, Neo4j
  • 15. NOSQL data models Size Key-value stores Bigtable clones Document databases Graph databases Complexity
  • 16. NOSQL data models Size Key-value stores Bigtable clones Document databases Graph databases (This is still billions of 90% nodes & relationships) of use cases Complexity
  • 17. Looking ahead: polyglot persistence SQL && NOSQL
  • 18. http://neotechnology.com