China
Africa
Explore chapters and articles related to this topic
Technological Overview
Published in Peng Liu, Wang Chao, Computational Advertising, 2020
Redis is also a NoSQL database. It mainly provides high-performance key/value store and adopts the method of in-memory data set. The key values of Redis can include data types such as string, hash, list, set, and sorted set, so they are also called a data structure server. Redis periodically writes updated data to disk or changes to an appended record file. On this basis, it implements master–slave synchronization with very fast non-blocking first synchronization, automatic reconnection of network disconnection and other functions. Redis also has a number of other features, including a simple check-and-set mechanism, pub/sub, and configuration Settings that allow it to behave more like a cache. Redis also provides a rich client that supports most of the popular programming languages at this stage and is easy to use.
Storage and databases for big data
Published in Jun Deng, Lei Xing, Big Data in Radiation Oncology, 2019
Tomas Skripcak, Uwe Just, Ida Schönfeld, Esther G.C. Troost, Mechthild Krause
A typical NoSQL representative for in-memory systems is the Remote Dictionary Server (Redis). It is a high-performance key–value store that has the capacity of holding databases larger than available memory by allocating virtual memory on disk, although this safety mechanism will cause significant performance degradation. Redis is an open-source solution that, together with its ability to work on less-expensive hardware, makes it an ideal choice for storing key–value modeled data and is often used as an in-memory cache component for disk-based databases.
Are NoSQL Databases Affected by Schema?
Published in IETE Journal of Research, 2023
Neha Bansal, Shelly Sachdeva, Lalit K. Awasthi
Redis [43] is an in-memory, key-value data store with a data durability option. Redis stores data in a key-value model, where each piece of data is stored as a value associated with a unique key. Redis supports various data structures, including strings, hashes, lists, and sorted sets. Redis allows extremely fast read and write speeds. It also supports disk persistence, which enables data to be recovered during a system failure. The logical model for Redis is shown in Figure 3.
Storing, preprocessing and analyzing tweets: finding the suitable noSQL system
Published in International Journal of Computers and Applications, 2022
Souad Amghar, Safae Cherdal, Salma Mouline
is a key-value system, created by Salvatore Sanfilippo in 2009 [13]. It is used by Twitter, GitHub, Weibo, Pinterest, Snapchat and others.6 Redis is in-memory database which means that data are loaded into memory, and they are saved periodically to the hard disk [14]. It provides SET and GET commands to respectively insert and query data [15].is created by Facebook in 2008 to handle Inbox search [16]. In addition to Facebook, Cassandra is used by Netflix, Instagram and GitHub.7 It is a column-oriented system, which means that data are stored as rows and columns. Cassandra uses its own query language, which is a SQL-like language called CQL [17].is created by DoubleClick in 2007 [12]. It is used by Google Compute Engine, ebay, Bouygues and many other systems.8 MongoDB is a document-oriented system, which means that data are stored in documents. The format in which documents are stored is BSON which is a binary-encoded serialization of JSON. MongoDB provides MongoDB query language (MQL) to insert, query, update and delete documents.is created by Memcached in 2011 [12]. It is used by eBay, linkedIn and other systems.9 It is a document-oriented and key-value system. Each record consists of a key and a value. A value can be either binary or JSON. Binary values can only be retrieved by keys, however JSON values can be parsed, indexed, and queried. N1QL is the query language provided by Couchbase to query documents, it has SQL-like syntax and semantic [18].is a graph-oriented system, created by Neo Technology, Inc in 2007 to handle highly connected data [12]. It is used by many companies such as eBay and Airbnb 1. In Neo4j, data are not distributed because they are highly interconnected. Neo4j provides Gremlin and Cypher as query languages in order to create and query graphs [19].