Example Of Database Management Software

Database management software is a computer software that manages, stores and retrieves large databases of data. For example, let’s say you have a huge database of customer information and you want to add new records in it. Using database management software, you can create a report containing some specific criteria based on all the customer data stored in a single source file.

In this guide, we review the aspects of Example Of Database Management Software, types of database management system, advantages of dbms, and database management tools.

Example Of Database Management Software

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.

types of database management system

Businesses wouldn’t get far if they based their important decisions on hunches. Companies make sound business decisions after a thorough analysis of all options and potential outcomes, good and bad. They base these analyses on the relevant data they collect from internal and external sources. The mechanism businesses rely on to convert raw data into insight that supports their decisions is a database management system (DBMS).

The various types of database management systems have three basic components:

A Brief History of Modern DBMSs

The modern DBMS arrived in the late 1970s and early 1980s with the creation of the first relational database by English computer scientist Edgar Codd and others working on IBM’s System R project. The earliest databases lacked a way for data elements to be cross-referenced, so each element had to be repeated in each dataset it was used in. By contrast, the relational database model uses Structured Query Language (SQL, pronounced “sequel”) to allow data in a table to refer or “relate” to other data anywhere in the database.

SQL remains a mainstay of the DBMS industry. The top-four products in the DB-Engines Ranking of DBMSs and seven of the top 10 are relational databases. However, alternatives to relational DBMSs, such as NoSQL databases, are used widely in business to manage data types that lack the structure to work well under the relational model.

Other popular types of database management systems are in-memory systems that offer fast response times and high performance, columnar databases that meet the needs of data warehouses and other large repositories holding similar data items, and cloud-based databases that allow companies to adopt the database as a service model (DBaaS). Note that DBaaS is also referred to as managed database services.

Relational DBMSs

Relational DBMSs are the most popular form of DBMS, although SQL technology appears to be reaching its limits in terms of accommodating big data and web-scale databases that contain large amounts of unstructured data.

The relational model is based on a table with columns and rows:

To tap the information in a SQL or other relational database, users submit a query that finds and analyzes data relevant to the query and then generates the results in the form of a report. Query processing is made possible by the database schema that controls formatting and defines relationships between entities in each field, as Codebots explains.

The market-leading RDBMSs are Oracle, MySQL, Microsoft SQL Server and PostgreSQL:

NoSQL DBMSs

NoSQL DBMSs differ from SQL-based systems in their support for both structured and unstructured data. This allows NoSQL systems to collect and analyze data without requiring a rigidly defined schema. For example, NoSQL databases can process queries of database entities that have different elements, such as social media posts, images, audio and video, in addition to conventional text and numeric data.

NoSQL DBMSs include graph, document store and key-value store database types:

In-Memory DBMSs

In-memory DBMSs rely on the computer’s main memory rather than disk storage, which improves their performance over standard database models. By maintaining data in active memory, I/O latency is nearly eliminated. The databases, which are also called main-memory DBMSs, also use internal algorithms that reduce processing overhead substantially.

According to PARIS Technologies, a principal characteristic of most in-memory DBMSs is their adherence to the ACID properties:

In-memory DBMSs include Oracle TimesTen, VoltDB and MemSQL, while in-memory NoSQL DBMSs include Redis and Aerospike.

Columnar DBMSs

Columnar DBMSs, or column-oriented databases, are used primarily in data warehouses that store massive amounts of similarly structured data. This type of SQL database is optimized for business intelligence applications in which a few columns of many rows are queried.

PAT Research explains that column-oriented DBMSs are designed to store a great number of dynamic columns. Rather than having all column names and record keys fixed, the values in a single column are serialized in sequence, so the information that a relational DBMS would store in several rows fits in a single column. This allows for faster analysis and querying of large volumes of data.

Popular columnar DBMSs include MariaDB, CrateDB, Apache HBase, Apache Kudu and MonetDB.

Cloud-based DBMSs

A growing number of companies choose to store their databases on public cloud platforms. Managed cloud database services are used to manage the systems via the DBaaS model. Rather than having to provision the underlying infrastructure and resources required to run a relational DBMS on premises, the cloud model lets companies pay for only the storage, processing and other resources that they actually use.

As demand for database resources goes up or down, the managed service scales automatically to accommodate the change. Database workloads are securely stored in the cloud, and data assets can be accessed at any time from any internet-connected device.

The leading cloud database services are Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform, all of which support relational, NoSQL and other database types.

DBMSs: The Engines That Drive Modern Business

Companies increasingly rely on their data assets to make their operations more competitive, more efficient and more profitable. DBMSs are the platforms that transform data of all types into business intelligence that helps the company achieve its goals.

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advantages of dbms

A Database Management System, or DBMS, allows its users to create, read, delete and update data within a database. The management system works as an interface between users and/or application programs and the database to make sure that all data is well organized and easily accessible.

Within an organization, the DBMS manages three key aspects, the data, database schema and database engine and hence allows users to access modified and locked data. These three important aspects offer data security, concurrency, data integrity and all other uniform administrative procedures for remote DBA support.

Enjoy Logical and Physical Data Independence

A user can enjoy both logical and physical data independence through DBMS. It means the system can help users or applications by letting them know where all important data is stored. DBMS provides application programming interface for the database. There is no need to modify programs by developers since all the changes will be made by the DBMS.

DBMSs have become popular in several industries and today more people are relying on these systems for their efficiency in improving data management within an organization. There are different types of DBMS available in the market, but all can be broadly classified as:

Benefits of Remote DBA support

Organizations everywhere are looking for ways to cut down costs in order to stay competitive, this means that IT managers have more limited budgets within which to work, hence the need for more efficient solutions. Database administration is the most technical and vulnerable sector within the IT department, since it requires a high level of mastery and skill, which is hard to come by.

Majority of organizations have reached the conclusion that having remote database administration is the better, more affordable, option compared to training/recruiting in-house DBAs. The following are a few benefits offered by remote DBA management over in-house DBA.

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database management tools

We live in the age of Data, and every company out there needs a team of System administrators capable of maintaining and organizing high-complexity databases.

As a Database administrator or Sysadmin, you should always use the best tools available on the market. The matter is all about efficiency and having a faultless environment.

There are tons of outdated tools that are still being used in the industry. So to help out both beginners and experts, the following tools will help you do a remarkable job in managing databases.

BTW, database management tools are different than database clients.

So without further delay, let’s get into it!

PgAdmin4

We can’t talk about Database management tools without considering PgAdmin.

PgAdmin is the most powerful administration and development platform for PostgreSQL. If you are starting and the command-line administration seems too scary, PgAdmin can help in your first steps.

Every time I start a Django project with PostgreSQL as the database, I use this tool to manage it. This is because it is a simple and safe way to recover (or drop tables) if I messed up with migrations.

You can download the latest version for your Operative System from the PgAdmin downloads page.

Adminer

Adminer, formerly known as phpMinAdmin is a simple to use Database Manager, written and configurable with PHP. Its current version supports multiple databases, including Relational and Non-Relational ones.

The best thing about this tool is its simplicity. This because of its no distraction User Interface (UI)  and the fact that you can configure it through a unique PHP file.

Aside from that, it is highly customizable, has many designs, and easy to use plugins.

The 5 steps you need to do to set up and run this tool on your website are.

And that’s all you need to install Adminer in your server.

Note: If you are a phpMinAdmin user, you should upgrade right now. The official documentation explains the reasons for changing to Adminer.

DbVisualizer

If Adminer was the definition of simplicity, DbVisualizer is the representation of power.

As their official website proclaims, DbVisualizer is the universal database tool. The reason is that this tool has all the features a team of developers, analysts, and DBAs need.

It is written in Java, and its multiplatform advantage allows you to learn one tool and forget about the rest.

One of the best things about this tool is the support for almost all modern databases like Redshift, H2, Exasol, Vertica, Informix, Netezza, etc. And those who aren’t yet can be managed with a generic driver.

Quest

Quest Software, founded in 1987, stills one of the most reliable IT solution providers in the current age of software development.

Their core products are database management tools—for instance, the Foglight monitoring and optimization solutions or the recognized Toad toolsets.

The best thing about Quest is the targeting for each of their products. This means that each platform or database deserves its own set of specific toolkits. For example, if your business is strongly based on the Cassandra database, you can opt for the specialized product Foglight for Cassandra.

Wrapping up, if you are searching for a specialized set of tools to maintain and scale your growing database, Quest products are your perfect fit.

ManageEngine

ManageEngine offers solid Database Monitoring tools oriented to optimize the performance of Databases. These monitoring tools not only notify you when something went wrong but helps you to solve problems quickly.

They offer a specific solution for each type of database. So, If you are searching for an optimized monitoring tool for your database, don’t hesitate to review ManageEngine solutions.

In addition, these monitoring systems discover database calls made by Java, Node, Ruby on Rails, DotNET, and PHP backend applications.

Sequel Pro

In addition, are you working with MySQL or MariaDB?

If so, Sequel Pro is the right database management system for you. It is an open-source project that gives you direct access to local and remote MySQL databases.

The best part of this tool is its simplicity and the fact that it is really lightweight. As a result, you can rapidly set up this tool in any Mac machine.

PHPMyAdmin

PhpMyAdmin is a free administration tool built with PHP,· It can perform a large set of operations with MySQL and MariaDB databases.

You can either use the GUI or use SQL sequences to perform the right database management.

This tool has gained several awards from 2002 until now. Also, it has deep documentation and a book translated into English and Spanish.

Note: Be careful confusing PhpMyAdmin with PhpMinAdmin (Former name of Adminer) because they are totally different projects.

Wrap up

Database management has become one of the most demanding skills in the last decade. This, as a result of the increasing amount of data, each company needs to grow and succeed.

When searching for the best tools to efficiently manage databases, we come up with both free and paid platforms. You can choose which fits you better depending on your needs as a Sysadmin or the needs of the company you are working for.

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