NoSQL: Difference between revisions

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==NoSQL vs. RDBMS==
==NoSQL vs. RDBMS==
In many cases, NoSQL databases can process data more quickly than traditional relational database management systems.  One reason for this is that data representation in NoSQL databases is much simpler than in relational systems.  For example, a table in a relational database might have many columns, but data in a [[NoSQL#Key-value Store|key-value store]] will always have only two parts:  the key and the value.  In addition, many NoSQL databases do not fully support ACID transactions.  While this allows faster performance, it can also be risky in applications where precision is needed, such as in banking applications.<ref>{{citation
| first = Neal | last=Leavitt
| url = http://www.computer.org/portal/web/csdl/doi/10.1109/MC.2010.58
| title = Will NoSQL Databases Live Up to Their Promise?]
| journal = Computer}}</ref


==Disadvantages of NoSQL==
==Disadvantages of NoSQL==

Revision as of 08:12, 28 July 2010

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NoSQL refers to a number of non-relational distributed database architectures. NoSQL architectures usually store data as key-value pairs, rather than supporting relations. Some systems eliminate the guarantee of consistency (instead promising eventual consistency) in order to increase scalability. The distributed nature of NoSQL architectures makes such data stores highly scalable and fault-tolerant.

History

NoSQL vs. RDBMS

In many cases, NoSQL databases can process data more quickly than traditional relational database management systems. One reason for this is that data representation in NoSQL databases is much simpler than in relational systems. For example, a table in a relational database might have many columns, but data in a key-value store will always have only two parts: the key and the value. In addition, many NoSQL databases do not fully support ACID transactions. While this allows faster performance, it can also be risky in applications where precision is needed, such as in banking applications.<ref>Leavitt, Neal, "Will NoSQL Databases Live Up to Their Promise?]", Computer</ref

Disadvantages of NoSQL

Relationship to cloud computing

Types of NoSQL Databases

Key-value Store

A key-value store maintains data as a pair consisting of an indexed key and a value. In general, key-value stores provide a single operation: fetching a single value using its key. Some key-value store implementations include mechanisms for performing a join on two distinct tables. Examples of key-value stores include Oracle's BerkeleyDB and Amazon's Dynamo.

BerkeleyDB

Dynamo

Column-oriented Databases

Document-based Stores

Future perspective

References