Distributed data store and In-memory database

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

Difference between Distributed data store and In-memory database

Distributed data store vs. In-memory database

A distributed data store is a computer network where information is stored on more than one node, often in a replicated fashion. An in-memory database (IMDB, also main memory database system or MMDB or memory resident database) is a database management system that primarily relies on main memory for computer data storage.

Similarities between Distributed data store and In-memory database

Distributed data store and In-memory database have 2 things in common (in Unionpedia): NoSQL, Replication (computing).

NoSQL

A NoSQL (originally referring to "non SQL" or "non relational") database provides a mechanism for storage and retrieval of data that is modeled in means other than the tabular relations used in relational databases.

Distributed data store and NoSQL · In-memory database and NoSQL · See more »

Replication (computing)

Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.

Distributed data store and Replication (computing) · In-memory database and Replication (computing) · See more »

The list above answers the following questions

What Distributed data store and In-memory database have in common
What are the similarities between Distributed data store and In-memory database

Distributed data store and In-memory database Comparison

Distributed data store has 59 relations, while In-memory database has 34. As they have in common 2, the Jaccard index is 2.15% = 2 / (59 + 34).

References

This article shows the relationship between Distributed data store and In-memory database. To access each article from which the information was extracted, please visit:

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