Nodes and edges may have temporal bounds of their validity

Properties of data values or links are used to search matching fragments of the graph

Nodes of a graph are used to represent data objects (values)

Edges are equivalent to foreign keys in RDM

Edges of a graph are used to represent the links between data objects (values)

The Graph Data Model is equivalent to RDM in the structural aspect

Nodes are equivalent to relations in RDM

Properties are the attributes of RDM by another name

A value could be anything in the Key-Value model, including JASON code, embedded multimedia objects, and links

Key-Value model uses a simple format for records

The Key-Value model does not support records with one key and several values

The Key-Value model is optimized for search

PUT and GET operations are fast and scale well in the Key-Value model

The values in the Key-Value model are data aggregates that may have different structures

A value within the Key-Value model is opaque and regarded as a blob

Keys in the Document-Oriented model are invisible IDs

Every document could be reached using the related search path from the root node of the document store

Document Data Model fully supports ACID transactions on documents and collections

Values in in the Document-Oriented model are white boxes having their internal structure and properties

Values in in the Document-Oriented model are indexed and are searchible by their properties

Document Data Model fully supports ACID transactions, but only on documents, not on document collections

A Document Store is organized as a tree-like structure. The nodes represent document collections, sub-collections, and individual documents

The Document-Oriented model resembles Key-Value model

Column-based data model

Document-oriented data model

Key - Value data model

Relational data model

Graph data model

Key-Value Model provides an index structure over data aggregates

Key-Value Model is also known as a dictionary model

Key-Value Model is a different name for Hierarchical Data Model

Key-Value Model is also known as a hash model

Key-Value Model is also known as an associative array model

Key-Value Model supports sub-collections of data

Key-Value Model enables data manipulation at scale

Key-Value Model uses a graph-based structure for indexing data

Key-Value Model is good for distributing data on clusters, in a cloud

Key-Value Model copes with diversity and multi-modality of data

Key-Value Model is the same as a user view representation in the Relational Model

A document is nothing more than a set of meta-data property values and an archive containing the corresponding full-text file

A document is a blob regarded as a black-box object

A document is a full-text document with the links to the other full-text documents

Very often, a document is a JASON object

A document is anything having internal structure and regarded as a white box

A document is a data aggregate with its internal structure made accessible for the API

A document within the Document Data Model could be queried using the property values from its internal structure

A document is the object containing all the metadata of a full-text document

A column storage is similar to a Key-Value storage. The difference is in the key structure

Column families in a columnar database are the basic units for specifying access control and rights for different user groups

A key in a Column Family Model contains: (i) table row number; (ii) table column identifier; (iii) column family identifier; (iv) time stamp of the value

The key values in a column database are lexicographically ordered

The Column Family Model is the mapping of a big 2+ dimensional table into one column

A Column Family Store is good for time-series data

Like in Relational model or in a spreadsheet, the Columnar Data Model supports only atomic data values that are placed in a cell of a table

Column Data Model is the extension of the relational Model to cope with time series

Column Data Storage stores different columns of the table at separate server nodes in a Cloud