Object Oriented Database

Database system design can be extremely time-consuming as it takes sophisticated software to create and control it. The design process becomes less user-friendly as it takes a more extensive knowledge of how to use it. The standard of an excellent database is one, which is complete, integral, simple, understandable, flexible and

It has become hard to scale relational databases in the direction and to the degree needed to manage big data in a successful and less expensive way. Instead, a new system, known as “NoSQL” or “Not Only SQL”, has been created that makes the processing of terabytes and even petabytes of data possible (Paghy, “RDBMS to NoSQL”).

Some of the challenges faced by relational databases were the mismatch that resulted when transforming graphs into tables. On the other hand, when a database was needed only for simples tasks like logging, the relational database had too much more than what was required. Web applications have many different types of attributes which does not fit easily into a relational database, which makes it a burden to handle. For example, videos, text and source code are different types of attributes from the web, which have to be stored in various tables if relational databases are used, because of its strict schema. Qualities like these, make RDBMS, a not-so-wise choice to handle blogs and other web applications. The massive data that has to be taken care of in web applications complicates data handling for famous webpages like Amazon, Google and Facebook. Factors like trillions and trillions of read and write requests which needs to be responded with minimal or no latency, leads these organizations to maintain their own hardware in clusters of thousands. The “One solution for all” is

With the development of the Internet and cloud computing, there need databases to be able to store and process big data effectively, demand for high-performance when reading and writing, so the traditional relational database is facing many new challenges. Especially in large scale and high-concurrency applications, such as search engines and SNS, using the relational database to store and query dynamic user data has appeared to be inadequate. In this case, NoSQL database created.

This help to users think that the data being access by one person in one

Relational database management systems (RDBMS) have a number of characteristics that make them more efficient and preferred operational choices. One characteristic is the independence of logical data structures as tables, indexes, and views from physical storage structures. Because the logical and the physical structures are separate from each other, physical data storage can be managed and organized without affecting access to logical structures. Renaming a database file, for example, does not rename the tables stored within that database file.

This document contains all the information about the advantages and disadvantages of different database models.

A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images. In computing, databases are sometimes classified according to their organizational approach. The most prevalent approach is the relational database, a tabular database in which data is defined so that it can be reorganized and accessed in a number of different ways. A distributed database is one that can be dispersed or replicated among different points in a network. An object-oriented programming database is one that is congruent with the data defined in object classes and subclasses.

A No-SQL (often interpreted as Not Only SQL) database provides a mechanism for storage and retrieval of data that is modelled in means other than the tabular relations used in relational databases. Motivations for this approach include simplicity of design, horizontal scaling and finer control over availability.

To understand what an organization’s database requirements may be, it is vital to discern what uses can be had from a database. Databases are key in a business operation, they allow for the quick access to company data, and help to quickly sort and deliver information when needed. A few examples of the functions a database can provide for a business is the ability to track customers, their inventory, and even employees.

The 1990s saw the emergence of ODBMS as the dominant data modeling application software. It began in the 1960s and continued during the 1980s as technologists were searching for a more flexible and capable way of dealing with data that fundamentally changed the way applications were being designed. Object technology depicted data in terms of “classes” instead of representing it in the strict table format of relational databases. A class is defined as the structure and code provided by the programmer. It includes a description of the type of data, how it is stored, and its code. However,

This report is about different types of database and explaining the advantages and disadvantages of network databases and object databases.

OODB the application architect has much more power to optimize performance than when using an RDB. Consequently the application architecture has more effect on performance and scalability than the choice

Abstract—This report compares the performance of different type of databases and general the normal way to improve the performance of the database.

A DBMS contains four parts, the data model, the data definition language (DDL), the data manipulation language (DML), and the data dictionary. To begin with, the data model describes how data are logically constructed. Next, programmers use DDL to specify the types of information and structure of the database, which is the important connection between the logical (how to perceive data) and physical views (how data are stored and processed) of the database. Thirdly, DML is used to manipulate the data, where end users or programmers are allowed to extract data in order to satisfy information requests and develop applications. Manipulative verbs are included in DML, such as ‘modify, delete or select’. In addition, the data dictionary is used for the storage of data elements and data characteristics, including ownership, physical representation, authorization, and security (technology guide). The use of a DBMS