Analysis of the Unexplored Security Issues Common to All Types of NoSQL Databases

The main problem has been managing databases because they are continuously expanding quickly and getting more complicated in terms of volume, variety, and velocity. Currently, Relational Database Management Systems (RDMS), also known as SQL, or traditional search engines are primarily used to manage and utilize data collection. Due to their highly semantic properties and applications, relational databases have emerged as powerful and superior during the previous two decades. The handling of a high volume of data and the variability in data type and structure has become a laborious task since Big Data entered the IT industry. Relational databases are inadequate to handle such big data due to their rigid data limitations, structure, relations, and other factors. As a result, data aggregation is rendered impossible. NoSQL databases offer a practical and understandable foundation for combining massive amounts of data, structures, and interactions. Data modeling and migration are now needed in order to define the issue. There isn't yet a tool for switching from relational to no-SQL databases. For this migration, relational (SQL) database queries must be converted to NoSQL database queries. Since relational databases (RDBMS) have found it difficult to keep up with modernization, NoSQL has emerged as the most practical database. This essay aims to highlight and assess the applications of NoSQL, the notion of NoSQL data modeling, and the NoSQL database migration procedure. NoSQL, NoSQL Roadmap, Data Modeling, ETL Approach for Data Migration, Data Loading, and Data Extraction.

Section: Discussion On Migration Strategy Of Mongodb Mongodbmentioning

confidence: 99%

An Invigorating Perspective of a Practical Aspect of NoSQL Database

Begum¹

2022

“…It begins by providing a summary of the aforementioned methods and how these large companies handle big data, utilizing NoSQL rather than conventional databases. On the basis of Database Applicability, System Performance, Scalability, Availability, and Data Operation, he compared all of the aforementioned methodologies and provided results in accordance [18]. A functional and practicable comparison of various methods of recording altered data has been provided in [19].…”

Section: No-sql Related Studiesmentioning

confidence: 99%

“…It functions identically like other databases and is a single node database. Although it often starts with a single node instance, clustering is an easy upgrade [15] [18].…”

Section: Mongodb and Couchdbmentioning

confidence: 99%

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Examining and juxtaposing the two NoSQL databases MongoDB and CouchDB

Shahida¹

2022

Relational databases have been an essential component of technology for many years. It has been, and in some cases, still is, the foundation of both large and small organizations. However, a few flaws in relational databases gave rise to NoSQL databases. NoSQL is not a particularly new technology, but it is one that is rapidly expanding. The structured query language is also known as NoSQL. Today, a variety of NoSQL databases are accessible depending on the user's needs. This review combines numerous comparisons of these databases based on various attributes. A few terms relating to NoSQL databases are also clarified and brought to light. Additionally, a detailed comparison of the two most popular NoSQL databases is evaluated.NoSQL is a component of a very narrow ecosystem with fewer applications than relational databases. Relational databases are fairly straightforward, which makes them easy to use, but the non-uniformity of the expanding data causes an issue with them. Organizations manage millions of pieces of data, which makes using a relational database challenging. Additionally, the IoT is right outside our door, and NoSQL is better for IoT applications. NoSQL was developed to address this non-uniformity and the rapidly expanding data sets. NoSQL is mostly utilized in distributed, cloud, and IoT systems. NoSQL databases eschew rigid schemas and prioritize availability, scalability, and fault tolerance as key properties.

“…Because MongoDB employs dynamic schemas, records can be created without first specifying the structure, such as the fields or the kinds of information they will hold. Simply adding new fields or removing existing ones will alter the record structure [7][14] [15][16][17] [18]. You may easily define hierarchical relationships, store arrays, and other more complicated structures with this data model.…”

Section: Mongodbmentioning

confidence: 99%

MogoDB: A NoSQL Database with Amazing Advantages and Features

Jyothi¹

2022

The extremely compressed data stores on non-relational database management systems, commonly referred to as NoSQL data stores, which facilitate the management of data for internet user programs, do not now provide this feature. Some of the words that come to mind are data security, encryption methods, MongoDB, and NoSQL. Without negatively compromising the database's performance in terms of speed or memory utilization, the appropriate encryption methods utilized to various essential data fields provide data protection. This is possible because the right encryption methods are being used. Databases are often used to manage different types of data since document-oriented and unstructured data are typically stored there. These databases include Cassandra, MongoDB, CouchDB, Redis, Hyper-table, and others. They must provide strong security and safeguard users' private data when it is in use or at rest because they are open source. There is a need for a single solution that may enhance data transmission security by offering an improved encryption technique that expedites operations and consumes less memory when managing databases.Today's IT growth is attributed to the development of more data-intensive applications. Due to stringent limitations on data structure, data relations, and other factors, relational databases do not allow us to work with huge data sets or maintain high volume databases. Unstructured data from many industries, including a variety of forms, must be processed and stored in databases. Thus, NoSQL types offer solutions to a number of problems associated with huge data bases. Largely because of benefits like flexibility and horizontal scalability, NOSQL (Not Only SQL) is in demand. This essay explores many NoSQL database types, such as MongoDB, CouchDB, HBase, Cassandra, etc.