In this blogging
Page, I will give you the information about how DBMS works and shed some light
on the benefits it brings to the table.
In this article, you’ll find out the following:
Whatt is Database Software
Main Features of Database Management Software
Types of Database Management Software
Advantages
of Database Management Software
Applications of Database Management Software
Features of Different Popular Databases
What is Database Management Software (DBMS)
Database
administrators use Database Management Software, or DBMS, for storing,
changing, and managing data in a database environment. It enables users to
design personalized data storage to meet their analytics and reporting needs.
Database software design also supports creating, implementing, and maintaining
an organisation-wide data management system.
Generally, most
DBMS packages allow users to create databases, store data, and update data
through SQL queries.
An example of a typical database management tool is MySQL, a managed database service to deploy cloud-native applications. Other options include Microsoft SQL Server, SAP HANA, Oracle, and Microsoft Access.
Types of Database Management Software
.png) |
Hierarchical DBMS
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. For e.g., a parent node can have one or multiple child nodes. Whereas the children node can only have one parent node.
Network DBMS
A network DBMS model supports many-to-many relationships, which helps store real-life relationships between entities. It is an extension of the hierarchical data management solution that allows modelers to design more flexibly. In this DBMS model, the child nodes are represented by arrows.
Relational DBMS
A relational DBMS is a model where relationships are based on the entities’ data. It offers greater flexibility compared to hierarchical and network models. It also allows more simplified relationships between entities, making it a popular choice among data modelers. Data stored in fixed structures can be organized efficiently using SQL.
.png)
Object-Oriented DBMS
An Object-Oriented DBMS — as the name suggests — is based on
object-oriented programming (OOP). It’s a data management solution where
entities are represented in objects and stored in a memory database.
It provides a unified programming environment and is compatible with various programming languages. These languages include Java, C++, .Net, and Visual Basic, to name a few.
Distributed DBMS
A distributed database management system (DDBMS) is a type of database management system that enables the storage and management of data across multiple computers or nodes in a network. In a distributed database system, data is divided and stored across multiple physical or logical locations, and the management of the database is decentralized.
Main Features of a DBMS
An efficient database management system tool should include the following features:
Data Normalization
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.
Rules and constraints defined by users
Referential Integrity constraints help organisations prevent accidental damage to the database by authorised users. Database management software allows users to define validation and integrity rules and conditions to ensure data satisfies the semantics.
Security protocols
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.
Data backup
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.
Better Data Sharing
Implementing a DBMS allows onsite and remote users to
quickly share the data by following the correct authorisation protocols. It
helps improve data accessibility, enabling users to share organisational data
swiftly and efficiently.
Better Security
Data security is a vital aspect of a database. Hence, a data management solution only allows authorized users to access the database. The authentication is managed using a username and password. Access controls prevent unauthorized users from accessing resources in a database, which can potentially violate integrity constraints.
Informed Decision-Making
Data-driven decisions can give businesses a competitive
advantage, but data is valuable only when it is reliable. Using a DBMS,
organizations can ensure data accuracy and quality for analysis and decisions.
Increase In Efficiency and Productivity
Deploying DBMS help increase data accessibility and
streamline information. It boosts end-user productivity and improves efficiency
and speed for an organization.
Data Integration
Instead of storing data in isolated database systems, a single interface can manage databases with physical and logical relationships.
Database software collects programs that allow users to store, reform, and extract data from a database. There are several database management systems (we have discussed the four most popular ones in this blog). The terms hierarchical, relational, object-oriented, and network denote how a database management software organize data internally.
Different types of Databases
Relational or SQL databases
A relational database management system ( RDBMS) is an information
repository that organizes data into tables consisting of rows (records) and
columns (attributes that contain the properties of these records). Each table
represents a relation, and the rows (also called tuples) hold individual
records within that relation .So tables in relational databases are connected
to other tables through primary key or foreign key relationships. A primary key
is a unique identifier for each record in a table, ensuring that no two records
have the same value for that specific column or set of columns. On the other
hand, a foreign key is a column or a set of columns in one table that refers to
the primary key in another table, establishing a link between them.
Despite these connections between tables, the term relational in
relational database systems comes from the mathematical concept of relations.
Dr. Edgar F. Codd proposed this idea as a new way to organize and manage data
using principles from mathematics in his seminal paper "A Relational Model
of Data for Large Shared Data Banks," published in 1970.
One of the SQL fundamentals
is ACID compliance (Atomicity, Consistency, Isolation, Durability).
Non-relational or No SQL databases
A non-relational or non-tabular database uses different data
models for storing, managing, and accessing data. The most common data models
are
document-oriented — to store, retrieve, and manage data such as
JSON documents;
key-value — to represent data as a collection of key-value pairs,
where keys are unique strings having corresponding data values;
graph — to store data in the node-edge-node structure where nodes
are data points and edges are their relationships; and
wide-column — to store data in the tabular format with flexible
columns, meaning they can vary from row to row in the same table.
As these databases aren’t limited to a table structure, they are called NoSQL. They allow for storing unstructured data such as texts, photos, videos, PDF files, and a bunch of other formats. Data is simple to query but isn’t always classified into rows and columns as in a relational database.
Since NoSQL databases allow for reserving various data types together and scaling across multiple servers, their never-decreasing popularity is understandable Also, NoSQL databases can be highly advantageous when it comes to building an MVP. They don’t require pre-deployment preparations, making quick, time-lag-free updates to the data structure easier.
So, the most commonly used database systems in SQL are
MySQL
MariaDB
Oracle
PostgreSQL
MS SQL
SQLite
No SQL databases as:
MongoDB
Redis
Cassandra
Elasticsearch
Firebase
Amazon DynamoDB
MySQL
MySQL is one of the most popular relational database
systems. Originally an open-source solution, MySQL is now owned by Oracle
Corporation. Today, MySQL is a pillar of LAMP application software. That means
it’s a part of Linux, Apache, MySQL, and Perl/PHP/Python stack. Having C and
C++ under the hood, MySQL works well with such system platforms as Windows,
Linux, MacOS, IRIX, and others.: MySQL is supported by the most popular cloud
providers. It’s available on leading platforms like Amazon, Microsoft, and others.
This makes MySQL even more attractive and gives businesses room for growth.
Developer:
Oracle Corporation.
Original author: MySQL AB.
Latest MySQL release: MySQL 8.0.32.
Microsoft SQL Server
Microsoft SQL Server is a commercial relational database management system. It is available in multiple editions, divided into three main categories: mainstream, specialized and discontinued editions.
Developer: Microsoft.
Latest Microsoft SQL Server release: Microsoft SQL Server 2022.
Microsoft SQL Server license: proprietary license.
Oracle is a relational database management system created and run by the Oracle Corporation. Among all the types of SQL databases, Oracle stands out. Currently, it supports multiple data models like document, graph, relational, and key-value within a single database. In its latest releases, it refocused on cloud computing. Oracle database engine licensing is fully proprietary, with both free and paid options available. Oracle is widely used in the financial sector, where data integrity and security are paramount. Banks, insurance companies, and investment firms often rely on Oracle to manage sensitive financial data and transactions.
Developer: Oracle Corporation.
Latest Oracle DBMS release: Oracle DBMS 23c beta.
PostgreSQL
PostgreSQL naively supports many data types by default, such as JSON, XML, H-Store, and others. PostgreSQL takes advantage of it, being one of the few relational databases with strong support for No SQL features.
Developer: PostgreSQL Global Development Group.
Latest PostgreSQL release: PostgreSQL 15.2.
MongoDB
MongoDB is an open source, NoSQL, document-oriented database management system. A free, open-source, non-relational DBMS, MongoDB also includes a commercial version. Although MongoDB wasn’t initially intended for structured data processing, it can be employed for applications that use both structured and unstructured data. In MongoDB, databases are connected to applications via database drivers. They are widely available within the database management system. One of the benefits of MongoDB derived from its NoSQL nature is the fast and easy data operation.
Developer: MongoDB Inc.
Latest MongoDB release: MongoDB 6.0.4.
Redis
Redis, short for “Remote Dictionary Server”, is an open source, NoSQL, key-value database management system. An open-source, NoSQL, in-memory data structure store, Redis can also be used as a cache. Instead of documents, it uses key-value pairs. Its distinct feature is that there are several options for data structuring, such as lists, sets, and hashes.
Developer: Redis.
Latest Redis release: Redis 7.0.
IBM
IBM DB2 is a database management product developed by IBM, formerly known as DB2 for Linux, UNIX and Windows.
Developer: IBM.
Latest IBM DB2 release: IBM DB2 11.5.8.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine. Elasticsearch is a NoSQL, document-oriented database management system having a full-text search engine at its heart.It stores data as a JSON file, supports RESTful APIs, and uses a powerful analytical engine for faster data retrieval. Being open-source software, it includes both free and paid editions.
Developer: Elastic NV.
Latest Elasticsearch release: Elasticsearch 8.7.
SQLite
SQLite is a self-sufficient, serverless, and no-configuration-required database management system. Frequently utilized as an embedded database, it is popular for small-scale mobile and desktop applications. SQLite is well-suited for modest-sized applications and mobile and desktop applications that demand a lightweight, easily portable, and user-friendly database
Latest SQLite release: SQLite 3.41.2.
SQLite license: Public domain.
Cassandra
Cassandra is a decentralized system developed by Apache. It’s a free Java-based DBMS with multi-replication and multi-deployment features as its strengths. These peculiarities allow for numerous query copying and deploying all of them at the same time. Cassandra uses its own query language, CQL. In its syntax, it’s very similar to SQL but doesn’t apply joins, replacing them with so-called column families.
Finally Top 10 database management systems used today are:
Oracle
MySQL
Microsoft SQL Server
PostgreSQL
MongoDB
Redis
IBM DB2
Elasticsearch
SQLite
Microsoft Access
How to choose a database management system
Apart from the options described in the post, there are a lot of other database management systems out there. Each of them is good in its own way, having some drawbacks as well, we tried to compare those commonly used for both small web applications and big data warehousing systems.
So, how do you choose the right DBMS for your own software application?
If you are just starting a local eCommerce business, databases like MySQL can be a sensible jumping-off point that will also work well for web-based BI tools and OLTP systems.
In case you are striving to build an eCommerce giant with a complete buyer journey for your customer, you may go with Cassandra. To complement it with a powerful search engine, you may also attach the Elasticsearch database solution.
When speaking of analytic tools without multiple data layers, it may be reasonable to opt for NoSQL databases like MongoDB.
In terms of building an OLTP solution and data warehousing applications, Oracle is a good choice as well.
Sure, there are more database systems to consider. It all depends on your business model and your business needs.
Which one do you use? Please share with us with comment.
I Prefer Oracle
ReplyDelete