Partition (database) and Scalability

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Partition (database) and Scalability

Partition (database) vs. Scalability

A partition is a division of a logical database or its constituent elements into distinct independent parts. Scalability is the capability of a system, network, or process to handle a growing amount of work, or its potential to be enlarged to accommodate that growth.

Similarities between Partition (database) and Scalability

Partition (database) and Scalability have 4 things in common (in Unionpedia): Database, Database transaction, Load balancing (computing), Relational database management system.

Database

A database is an organized collection of data, stored and accessed electronically.

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Database transaction

A transaction symbolizes a unit of work performed within a database management system (or similar system) against a database, and treated in a coherent and reliable way independent of other transactions.

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Load balancing (computing)

In computing, load balancing improves the distribution of workloads across multiple computing resources, such as computers, a computer cluster, network links, central processing units, or disk drives.

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Relational database management system

A relational database management system (RDBMS) is a database management system (DBMS) based on the relational model invented by Edgar F. Codd at IBM's San Jose Research Laboratory.

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The list above answers the following questions

What Partition (database) and Scalability have in common
What are the similarities between Partition (database) and Scalability

Partition (database) and Scalability Comparison

Partition (database) has 20 relations, while Scalability has 78. As they have in common 4, the Jaccard index is 4.08% = 4 / (20 + 78).

References

This article shows the relationship between Partition (database) and Scalability. To access each article from which the information was extracted, please visit:

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