Abstract

Contact: Lars.Juhl.Jensen@gmail.com

Highlights

  • Graphs are ubiquitous in bioinformatics and frequently consist of too many nodes and edges to represent in random access memory

  • These graphs are stored in databases to allow for efficient queries using declarative query languages such as Structured Query Language (SQL)

  • The term NoSQL is used to refer to schemaless databases such as key/ value stores (e.g. Apache Cassandra), document stores (e.g. MongoDB) and graph databases (e.g. AllegroGraph, Neo4J, OpenLink Virtuoso), which do not fit within the traditional relational paradigm

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Summary

Introduction

Graphs are ubiquitous in bioinformatics and frequently consist of too many nodes and edges to represent in random access memory. These graphs are stored in databases to allow for efficient queries using declarative query languages such as Structured Query Language (SQL). Most NoSQL databases do not have a declarative query language.

Results
Conclusion

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