Examples Of Database Management Software

Dbms are used to create, update and read information from a database. Examples Of Database Management Software is an electronic system which is used to store large amount of data. A dbms accepts data from user, stores it into its memory and retrieves that data whenever required.

In this guide, we review the aspects of Examples Of Database Management Software, database software definition and examples, advantages of dbms, and example of dbms and rdbms.

Examples Of Database Management Software

Being a database administrator (DBA) can be a tough job. You’re charged with keeping your company’s data safe and secure, as well as making sure that your users can access the information they need in a timely manner. It’s important to use the best tools for this job so that you don’t miss anything and make sure that no data is lost in translation. However, what constitutes “best”? How do you know which software will work best for your organization?

SQL Server

SQL Server is a relational database management system developed by Microsoft. It supports a large number of data types, including INT, REAL, SMALLINT, BIGINT, BINARY, CHAR and VARCHAR. As with the other database management systems on this list in the table above (Oracle), you can use SQL Server to create tables and insert data into them.

Oracle Database

Oracle Database is a relational database management system that was developed by Oracle Corporation. It is known to be the first RDBMS to implement the relational model, and it has been described by industry sources as either the most widely implemented database or one of the most frequently used computer systems.[4] Oracle Database is available in several editions:

The Standard Edition for general business use, which includes tools for data modeling, reporting, business intelligence and integration with various other applications from within the enterprise;

The Enterprise Edition for large-scale deployments with complex data structures;

The Standard Edition One (SE1) which combines ease of use with enterprise scalability;

Oracle Spatial-enabled databases that allow geospatial analysis on top of traditional transactional processing.

MySQL

MySQL is a free and open source SQL database management system (DBMS) available for Linux, UNIX, and Windows. It is also the most widely used database management system in the world. MySQL is used by many software developers to create web applications that can be used by millions of people around the world.

Because MySQL is an open source database system, you will find it on many hosting servers; this means that if you want to host your own website or blog with a web hosting provider, they will likely provide you with access to a MySQL database server so that your site’s data can be saved in one place instead of being spread out across multiple computers.

FileMaker Pro

FileMaker Pro is a database management software that allows you to create databases and web applications. It’s a relational database management system (RDBMS), meaning that it can store data in multiple tables or files. You can also set up relationships between these tables or files, so that one piece of information can link to another.

In addition to being available on Mac and Windows platforms, FileMaker Pro also offers an iOS version for mobile app development called FileMaker Go which allows you to view your data offline by syncing with iCloud when back online again.

Amazon Relational Database Service (RDS)

Amazon RDS is a web service that makes it easy to set up, operate, and scale a relational database in the cloud. You can create and retrieve data quickly, with cost-efficient queries. Amazon RDS supports MySQL, MariaDB, Oracle, Microsoft SQL Server, PostgreSQL and Amazon Aurora (a MySQL-compatible relational database engine).

Amazon RDS lets you run your database in its own virtual private cloud environment so that you can control access to resources such as CPU and memory while still having full access to them. You can also allocate storage space on demand or make use of storage optimization features like compression and encryption. In addition to security controls that are based on IP addresses or VPCs (Virtual Private Cloud), you have options for fine-grained access control lists (ACLs) via user accounts within an AWS account or by role-based access policies implemented through Identity Access Management (IAM).

IBM DB2 UDB

IBM DB2 UDB is a relational database management system. It is highly scalable, multi-threaded and supports a number of network protocols. DB2 UDB has been designed to support large volumes of data and high transaction rates. It also supports multiple users running multiple applications concurrently on the same server.

IBM DB2 Universal Database (UDB) – In simple terms, IBM Db2 Universal Database (UDB) is an integrated data management system that offers all the functions required by today’s enterprises — including enterprise data warehousing, business intelligence reporting and analysis, transactional processing and decision support — with one single point of control over data assets throughout their lifecycle within any organization

IBM Cloudant

Cloudant is a database-as-a-service (DBaaS) solution that provides access to a scalable, high-performance, highly available database. Cloudant offers open source solutions as well as commercial products.

Cloudant’s core product is its hosted platform for building real-time web and mobile applications. It allows users to write code in JavaScript or Node.js with the expressiveness of MongoDB and the convenience of a managed service. Cloudant has been designed to natively support data structure changes on the fly without requiring any downtime or read/write splitting.

IBM Informix

IBM Informix is a relational database management system (RDBMS) that uses SQL but also supports other languages, including C, Java, and COBOL. Formed in 1999 by IBM’s acquisition of Informix Software, the company was renamed to IBM Informix Software Inc., before becoming part of IBM DB2 division in 2002.

IBM’s DB2 software division was then acquired by SAP SE in 2009 and renamed to Sybase IQ. In 2015, Sybase IQ was sold to Micro Focus International plc which later renamed it as Micro Focus Databases (MFDB).

Apache Derby / Java DB

Apache Derby is a relational database that can be embedded into any Java application. It has been part of the Apache Software Foundation since 2004, and it is designed to run on the Java SE platform. The latest version of Apache Derby is version 10.8, which was released on May 22, 2017.

The Javadocs for Apache Derby are available online at http://db.apache.org/derby/javadoc/.

Apache OpenOffice Base

Apache OpenOffice Base is a relational database management system (RDBMS) that provides an SQL interface for accessing and manipulating data stored in the database. It is part of the OpenOffice.org office suite.

OpenOffice Base offers advanced features like cross-database joins, multiple queries concurrently and table locking but it doesn’t have any external dependencies such as ODBC or JDBC drivers.

database software definition and examples

The volume of data shared across enterprises increases rapidly, making it difficult to manage their data. One possible solution for data management is Database Management Software (DMS) which allows organizations to improve data accessibility and simplifies the process of documents management.

In this blog, we’ll delve into how DBMS works and shed some light on the benefits it brings to the table.

In this article, you’ll find out:

What is Database Management Software (DBMS) used for?

A Database Management Software or DBMS is used for storing, manipulating, and managing data in a database environment. It enables users to design a personalized database engine to meet their analytics and reporting needs. Database software design also supports creating, implementing, and maintaining an organization-wide data management system.

Generally, most DBMS packages allow users to perform operations like database creation, storing data, updating data through SQL queries.

Over the years, new database management systems has been introduced with different architecture and application focus to meet the high performance modern-day requirements., providing support for data modeling, data integration, multimedia data, machine learning etc.

An example of a typical database management tool would be MySQL, a managed database service to deploy cloud-native database applications. Other options include Microsoft SQL Server, SAP HANA, Oracle, and Microsoft Access.

Main Features of a DBMS

An efficient database management system tool should include the following features:

The risk of data duplication in a database is relatively high as multiple users share it simultaneously. Data normalization mitigates this risk and minimizes the chance of destructive anomalies appearing. No data redundancy and repetition save storage and significantly improve access time.

Referential Integrity constraints help organizations prevent accidental damage to the database by authorized users. A database management software allows users to define validation and integrity rules and conditions to ensure data satisfies the semantics.

Security controls protect the integrity of a database and the data and records residing in it. Some essential DBMS security controls include data encryption, user authentication, and user authorization.

A backup protects your database against data loss. A copy of files stored in a database must be available to reconstruct data in case data get lost or corrupted. Most DBMS support logical and physical data backup.

A DBMS must allow users to organize information in a database in a clear hierarchical structure. It means all objects, records, and tables can be arranged systematically, like a catalog, so the records can easily be accessed and retrieved.

In addition, you must also look for various features and functionality depending on your use case. For example, a DBMS should offer easy database customization options, support multi-user access, and contain a metadata library.

Types of Database Management Software

These can be broadly classified into four types. The most popular types of database management systems with examples include:

1- Hierarchical

A hierarchical Data management solution stores data in a parent-children relationship node, each representing a particular entity. This type of database management software allows one-to-one and one-to-many relationships, i.e., a parent node can have one or multiple child nodes, whereas the children node can only have one parent node.

Hierarchical Database Model (Source: DBMS Internals)

2- Network

A network DBMS is a model that supports many-to-many relationships, which helps store real-life relationships between entities. It is an extension of the hierarchical data management soluution that allows modelers to design a more flexible model. In this type of DBMS model, the child nodes are represented by arrows.

A Network Database Model (Source: The Intact One)

3- Relational

A relational DBMS is a model where relationships are based on the entities’ data. Compared to hierarchical and network models, it offers greater flexibility and allows for more simplified relationships between entities, making it a popular choice among data modelers. Data stored in fixed structures can be organized efficiently using SQL.

Figure 3. Example of a Relational Database Model (Source: ResearchGate)

4- Object-Oriented

An Object-Oriented DBMS — as the name suggests — is based on object-oriented programming (OOP). It’s a data management solution type where entities are represented in objects and stored in memory database.

It provides a unified programming environment and is compatible with various programming languages, including Java, C++, .Net, and Visual Basic, to name a few.

An example of Object-Oriented Database Model (Source: Data Integration Glossary)

Advantages of a Database Management Software

Now that we have familiarized ourselves with the definition of database management and the types of DBM software, let’s move ahead and look at the functions and benefits of database management system:

Implementing a DBMS allows onsite and remote users to share the data by following the correct authorization protocols quickly. It helps improve data accessibility, enabling users to share the organizational data swiftly and efficiently.

The improved data processes provide a smart solution to database queries, even the ad-hoc and impromptu ones. It results in accurate and swift data access, facilitating more informed and timely decision-making.

Data security is a vital aspect of a database. A Data management solution only allows authorized users to access the database. The authentication is managed using a username and password. Controlled user access prevents unauthorized users from accessing resources in a database, which can potentially violate the integrity constraints.

A DBMS provides an integrated picture — a bird’s eye view, so to speak — of the operations and processes of an organization. The unified data allows companies to evaluate the controls and performance effectively and quickly.

Data-driven decision-making can give businesses a competitive advantage, but data is valuable for decision-making only when it is reliable. Organizations can ensure data accuracy and quality trusted for analysis and decision-making using a DBMS.

Deploying a DBMS help increase data accessibility and streamline information. It boosts the end-user productivity and leads to improved efficiency and speed for an organization.

Instead of storing data in isolated database systems, a single interface can manage databases with physical and logical relationships.

Applications of Database Management Software

Following are some of the applications of database software in different industries:

Database software collects programs that allow data to be stored, reformed, and extracted from a database. There are several kinds of database management systems (four of the most popular ones are discussed in this blog). The terms hierarchical, relational, object-oriented, and network denote how a database management software organizes data internally.

It can be challenging for data-driven enterprises to operate DBMS requires in-house expertise. Moreover, the cost, size, and performance of a DBMS varies with the organization’s requirements and use cases and should be evaluated accordingly.

Astera Centerprise- Database Management Software for your Business Needs

A data integration software can retrieve data stored in these databases and integrate it with other systems. To find out how Astera Centerprise performs this integration, take a 14-day free trial of the software or watch the product demo.

advantages of dbms

A Database Management System (DBMS) is defined as the software system that allows users to define, create, maintain and control access to the database. DBMS makes it possible for end users to create, read, update and delete data in database. It is a layer between programs and data.

Compared to the File Based Data Management System, Database Management System has many advantages. Some of these advantages are given below −

Reducing Data Redundancy

The file based data management systems contained multiple files that were stored in many different locations in a system or even across multiple systems. Because of this, there were sometimes multiple copies of the same file which lead to data redundancy. 

This is prevented in a database as there is a single database and any change in it is reflected immediately. Because of this, there is no chance of encountering duplicate data.

Sharing of Data

In a database, the users of the database can share the data among themselves. There are various levels of authorisation to access the data, and consequently the data can only be shared based on the correct authorisation protocols being followed. 

Many remote users can also access the database simultaneously and share the data between themselves.

Data Integrity

Data integrity means that the data is accurate and consistent in the database. Data Integrity is very important as there are multiple databases in a DBMS. All of these databases contain data that is visible to multiple users. So it is necessary to ensure that the data is correct and consistent in all the databases and for all the users. 

Data Security

Data Security is vital concept in a database. Only authorised users should be allowed to access the database and their identity should be authenticated using a username and password. Unauthorised users should not be allowed to access the database under any circumstances as it violates the integrity constraints.

Privacy

The privacy rule in a database means only the authorized users can access a database according to its privacy constraints. There are levels of database access and a user can only view the data he is allowed to. For example – In social networking sites, access constraints are different for different accounts a user may want to access.

Backup and Recovery

Database Management System automatically takes care of backup and recovery. The users don’t need to backup data periodically because this is taken care of by the DBMS. Moreover, it also restores the database after a crash or system failure to its previous condition. 

Data Consistency

Data consistency is ensured in a database because there is no data redundancy. All data appears consistently across the database and the data is same for all the users viewing the database. Moreover, any changes made to the database are immediately reflected to all the users and there is no data inconsistency.

example of dbms and rdbms

A database is a set of data stored in a computer. This data is usually structured in a way that makes the data easily accessible.

What is a Relational Database?

A relational database is a type of database. It uses a structure that allows us to identify and access data in relation to another piece of data in the database. Often, data in a relational database is organized into tables.

Tables: Rows and Columns

Tables can have hundreds, thousands, sometimes even millions of rows of data. These rows are often called records.

Tables can also have many columns of data. Columns are labeled with a descriptive name (say, age for example) and have a specific data type.

For example, a column called age may have a type of INTEGER (denoting the type of data it is meant to hold).

In the table above, there are three columns (name, age, and country).

The name and country columns store string data types, whereas age stores integer data types. The set of columns and data types make up the schema of this table.

The table also has four rows, or records, in it (one each for Natalia, Ned, Zenas, and Laura).

What is a Relational Database Management System (RDBMS)?

A relational database management system (RDBMS) is a program that allows you to create, update, and administer a relational database. Most relational database management systems use the SQL language to access the database.

What is SQL?

SQL (Structured Query Language) is a programming language used to communicate with data stored in a relational database management system. SQL syntax is similar to the English language, which makes it relatively easy to write, read, and interpret.

Many RDBMSs use SQL (and variations of SQL) to access the data in tables. For example, SQLite is a relational database management system. SQLite contains a minimal set of SQL commands (which are the same across all RDBMSs). Other RDBMSs may use other variants.

(SQL is often pronounced in one of two ways. You can pronounce it by speaking each letter individually like “S-Q-L”, or pronounce it using the word “sequel”.)

Popular Relational Database Management Systems

SQL syntax may differ slightly depending on which RDBMS you are using. Here is a brief description of popular RDBMSs:

MySQL is the most popular open source SQL database. It is typically used for web application development, and often accessed using PHP.

The main advantages of MySQL are that it is easy to use, inexpensive, reliable (has been around since 1995), and has a large community of developers who can help answer questions.

Some of the disadvantages are that it has been known to suffer from poor performance when scaling, open source development has lagged since Oracle has taken control of MySQL, and it does not include some advanced features that developers may be used to.

PostgreSQL is an open source SQL database that is not controlled by any corporation. It is typically used for web application development.

PostgreSQL shares many of the same advantages of MySQL. It is easy to use, inexpensive, reliable and has a large community of developers. It also provides some additional features such as foreign key support without requiring complex configuration.

The main disadvantage of PostgreSQL is that it can be slower in performance than other databases such as MySQL. It is also slightly less popular than MySQL.

For more information about PostgreSQL including installation instructions, read this article.

Oracle Corporation owns Oracle Database, and the code is not open sourced.

Oracle DB is for large applications, particularly in the banking industry. Most of the world’s top banks run Oracle applications because Oracle offers a powerful combination of technology and comprehensive, pre-integrated business applications, including essential functionality built specifically for banks.

The main disadvantage of using Oracle is that it is not free to use like its open source competitors and can be quite expensive.

Microsoft owns SQL Server. Like Oracle DB, the code is close sourced.

Large enterprise applications mostly use SQL Server.

Microsoft offers a free entry-level version called Express but can become very expensive as you scale your application.

SQLite is a popular open source SQL database. It can store an entire database in a single file. One of the most significant advantages this provides is that all of the data can be stored locally without having to connect your database to a server.

SQLite is a popular choice for databases in cellphones, PDAs, MP3 players, set-top boxes, and other electronic gadgets. The SQL courses on Codecademy use SQLite.

For more info on SQLite, including installation instructions, read this article.

Using An RDBMS On Codecademy

On Codecademy, we use both SQLite and PostgreSQL. While this may sound confusing, don’t worry! We want to stress that the basic syntax you will learn can be used in both systems. For example, the syntax to create tables, insert data into those tables, and retrieve data from those tables are all identical. That’s one of the nice parts of learning SQL — by learning the fundamentals with one RDBMS, you can easily begin work in another.

That being said, let’s take a look at some of the more subtle details:

File extensions — when working with databases on Codecademy, take a look at the name of the file you’re writing in. If your file ends in .sqlite, you’re using a SQLite database. If your file ends in .sql, you’re working with PostgreSQL.

Data types — You’ll learn about data types very early into learning a RDBMS. One thing to note is that SQLite and PostgreSQL have slightly different data types. For example, if you want to store text in a SQLite database, you’ll use the TEXT data type. If you’re working with PostgreSQL, you have many more options. You could use varchar(n), char(n), or text. Each type has its own subtle differences. This is a good example of PostgreSQL being slightly more robust than SQLite, but the core concepts remaining the same.

Built-in tables — As you work your way through more complicated lessons on databases, you’ll start to learn how to access built-in tables. For example, if you take our lesson on indexes, you’ll learn how to look at the table that the system automatically creates to keep track of what indexes exist. Depending on which RDBMS system you are using (in that lesson we’re using PostgreSQL), the syntax for doing that will be different. Any time you’re writing SQL about the database itself, rather than the data, that syntax will likely be unique to the RDBMS you’re using.

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