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sweta
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sweta
Asked: May 4, 20202020-05-04T14:54:05+01:00 2020-05-04T14:54:05+01:00In: Advance Management of Data(AMD)

Different Categories of NOSQL Systems?

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Different Categories of NOSQL Systems?
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    1. sweta
      2020-05-04T14:58:34+01:00Added an answer on May 4, 2020 at 2:58 pm

      1. Document stores:

      •Document-based NOSQL systems store data as collections of similar documents.

      • Resemble complex objects

      • Do not require to specify a schema, but are specified as self-describing data

      • Each document can have different data elements (attributes)

      • Can be specified in various formats, such as XML or JSON (JavaScript Object Notation)

      • Are accessible via their document id

      Examples: Mongo DB

      2. Key-value stores:

      • Every data item (value) must be associated with a unique key

      • Retrieving the value by supplying the key must be very fast

      • Value-

      1. Can have very different formats for different key-value storage systems:

      2. String / array of bytes: the application using the key-value store has to interpret the structure of the data value

      3. Structured data rows (tuples) similar to relational data

      4. Semi structured data using a self-describing data format

      Example: Amazon Dynamo DB, Project Voldemort

      3. Wide column stores:

      A wide column store is a type of key-value database. It uses tables, rows, and columns, but unlike a relational database, the names and format of the columns can vary from row to row in the same table.

      Working Principle-

      • Vertical partitioning – tables are partitioned by column into column families

      • Each column family is stored in its own files

      • Versioning of data values is allowed

      • The key is multidimensional (in contrast to key-value stores)

      Examples: Google distributed storage system (BigTable), Apache Hbase

      4. Graph-Databases:

      Data is organized as a graph, which is a collection of nodes, relationships, and properties.

      Node-

      • Can contain properties

      • Can contain labels, which groups nodes with the same label into subsets for querying purposes

      Relationship-

      • Is directed, each relationship has a start node and an end node

      • Can contain properties

      • Has a relationship type, which helps to identify similar relationship types for querying purposes

      Properties-

      Store the data items associated with nodes and relationships as list of key-value pairs

      Example: Neo4j

      5. Hybrid Systems:

      Hybrid SQL‐NoSQL database solutions combine the advantage of being compatible with many SQL applications and providing the scalability of NoSQL ones.

      Example: Xeround

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