Table of Contents
Beginning
This paper presents an introduction to the topic.
This work provides an overview of the subject matter.
Use of a nosql Database
Popular nosql databases
This is an introduction.
NoSQL is a way to create databases that can support many different data models such as key-values and columns, graphs, and other key-values. NoSQL, which stands for “not only SQL”, is an alternative option to traditional relational databases. NoSQL allows data to be placed in tables before the database can be built. NoSQL databases can handle large amounts of distributed data.
A nosql database is a database that allows you to store and retrieve structured, semi-structured, and unstructured data. This database was designed to help developers who work with large amounts of rapidly changing data. Services are available that can be accessed from multiple devices, scaled to millions of users worldwide and provide applications that were once only accessible to a small audience. Instead of using large monolithic storage servers and infrastructure, companies are opting for open source software, commodity and cloud servers to scale out their architectures.
Popular nosql databasesMongoDB–the most popular NoSQL system, especially among startups. This document-oriented database uses dynamic schemas to store JSON-like documents instead of relational table data. It is used at the backend of websites like Craigslist or Foursquare. It’s open-source and free. They also offer excellent customer service. Apache’s CouchDB – a true web DB. It uses JSON as the data exchange format; JavaScript to index, combine and transform documents; and HTTP for its API. HBase -another Apache project. HBase is an open-source, nonrelational NoSQL DB that was created as part Hadoop. Java-based, it provides BigTable-like capabilities. Oracle NoSQL -Oracle’s entry to the NoSQL group.
Apache’s Cassandra DB – Originally created by Facebook, Cassandra can handle large amounts of structured data. You can anticipate the growth of your application. Cassandra’s ability to scale up is amazing. Examples include Instagram (comcast, Apple, Spotify, and others). Riak–a free key-value database created in Erlang. It is fault-tolerant and has automatic data distribution for outstanding performance.
Different Types of NoSQL Databases
Key value stores Key-value keys Key-value points or key database Key value stores implement a data model that pairs unique keys with associated values. This model is easy to develop key-value database, which can be extremely efficient and highly scalable for session administration and caching in web apps.
Document databases Also known as document stores, document databases are used to store semi-structured data along with descriptions in document format. Developers can create and update programs with them without the need for a master schema. With the popularity of JavaScript (and JavaScript Object Notation) (JSON), document databases have increased in use. Although JSON is a popular data interchange format, web app developers also love XML and many other data formats. Document databases can be used to manage content and handle mobile applications data. Document databases include Couchbase Server and CouchDB.
Wide-column storage Wide-column data stores store data tables in columns, instead of rows. Wide-column databases can both be used to store these stores. Wide-column stores allow for faster queries on large data volumes than traditional relational tables. Wide-column stores can be used to create recommendation engines, catalogs, detect fraud, and perform other data processing. Examples of wide-column data stores include HBase, Cassandra, and Google BigTable.
Graph stores. Graph storage is used to store data as nodes. The graph system stores data relationship between nodes and allows for richer data representations. The graph data model, unlike other relational models, can change over time. Graph databases may be used in systems where relationships must be mapped, such as customer relationship management or reservation systems. AllegroGraph is an example of graph databases.
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