Introduction
A database is a collection of data or records. Database management systems are designed to manage databases. A database management system (DBMS) is a software system that uses a standard method to store and organize data. The data can be added, updated, deleted, or traversed using standard algorithms and queries.
Types of Database Management Systems
There are several types of databases. Here is a list of seven common types of Databases.
- Hierarchical databases
- Network databases
- Relational databases
- Object-oriented databases
- Graph databases
- ER model databases
- Document databases
- NoSQL databases
Hierarchical Databases
Data is stored in a parent-children relationship node in a hierarchical database management system (hierarchical DBMS) Model. In a hierarchical database, besides actual data, records also contain information about their groups of parent/child relationships. Continue reading aboutHierarchical Databasesin detail.
In a hierarchical database model, data is organized into a tree-like structure. The data is stored in the form of a collection of fields where each field contains only one value. The records are linked to each other via links into a parent-children relationship. In a hierarchical database model, each child record has only one parent. A parent can have multiple children.
To retrieve a field's data, we need to traverse through each tree until the record is found.
Hierarchical databases are used to build high-performance and availability applications, usually in the banking and telecommunications industries. IBM developed the hierarchical database system structure in the early 1960s. At the same time, the hierarchical structure is simple but inflexible due to the parent-child one-to-many relationship.
The IBM Information Management System (IMS) and Windows Registry are famous examples of hierarchical databases.
Advantages of HierarchicalDatabase
A hierarchical database can be accessed and updated rapidly. As shown in the figure above, its model structure is like a tree, and the relationships between records are defined in advance. This feature is a double-edged sword.
Disadvantages of a Hierarchical Database
This type of database structure means that each child in the tree may have only one parent. Relationships or linkages between children are not permitted, even if they make sense from a logical standpoint. Adding a new field or record requires that the entire database be redefined. Hierarchical databases are like this in their design.
Network Databases
Network database management systems (Network DBMSs) use a network structure to create a relationship between entities. Network databases are mainly used on large digital computers. Network databases arehierarchical, but unlike hierarchical databases, where one node can have a single parent only, a network node can have a relationship with multiple entities. A network database looks more like a cobweb or interconnected network of records. Continue reading abouttheNetwork databasein detail.
In network databases, children are called members, and parents are called occupiers. The difference between each child or member is that it can have more than one parent.
The approval of the network data model is similar to a hierarchical data model. Data in a network database is organized in many-to-many relationships.
Charles Bachman invented the network database structure. Some popular network databases are the Integrated Data Store (IDS), IDMS (Integrated Database Management System), Raima Database Manager, TurboIMAGE, and Univac DMS-1100.
Relational Databases
In a relational database management system (RDBMS), the relationship between data is relational and stored in tabular form of columns and rows. Each table column represents an attribute, and each Row in a table represents a record. Each field in a table represents a data value.
Structured Query Language (SQL) is used to query RDBMS, including inserting, updating, deleting, and searching records. Relational databases work on each table with a key field that uniquely indicates each Row. These key fields can be used to connect one table of data to another.
Relational databases are the most popular and widely used databases. Some popular DDBMS are Oracle, SQL Server, MySQL, SQLite, and IBM DB2.
Advantages ofRelational databases
- Relational databases can be used with little or no training.
- Database entries can be modified without specifying the entire body.
Properties of Relational Tables
In a relational database, we have to follow the properties given below.
- Values are Atomic.
- Each Row is alone.
- Column Values are the same thing.
- Columns are undistinguished.
- The sequence of Rows is Insignificant.
- Each Column has a common name.
Continue reading What Relational Databases (RDBMS) areand What are the Most Popular RDBMS in the World.
Object-Oriented Model Database
In this Model, we have to discuss the functionality of object-oriented Programming. It takes more than the storage of programming language objects. Object DBMS's increase in the semantics of C++ and Java. It provides full-featured database programming capabilities while containing native language compatibility. It adds database functionality to object programming languages.
The Object-Oriented Programmingapproach is analogical to the application and database development in a constant data model and language environment. Applications require less code, use more natural data modeling, and code bases are easier to maintain. Object developers can write complete database applications with a decent amount of additional effort.
Object-oriented database derivation is the integrity of object-oriented programming language and consistent systems. The power of object-oriented databases comes from the cyclical treatment of both consistent data, as found in databases, and transient data, as found in executing programs.
Object-oriented databases use small, recyclable separated from software called objects. The objects themselves are stored in the object-oriented database.
Each object contains two elements.
- A piece of data (e.g., sound, video, text, or graphics).
- Instructions, or software programs called methods, for what to do with the data.
Object-oriented database management systems (OODBMs) were created in the early 1980s. Some OODBMs were designed to work with OOP languages such as Delphi, Ruby, C++, Java, and Python. Some popular OODBMs are TORNADO, Gemstone, ObjectStore, GBase, VBase, InterSystems Cache, Versant Object Database, ODABA, ZODB, and Poet. JADE, and Informix.
Disadvantages of Object-oriented databases
- Object-oriented databases are more expensive to develop.
- Most organizations are unwilling to abandon and convert from those databases.
Advantages ofObject-oriented databases
The benefits of object-oriented databases are compelling. The ability to mix and match reusable objects provides incredible multimedia capability.
Graph Databases
Graph Databases are NoSQL databases and use a graph structure for semantic queries. The data is stored as nodes, edges, and properties. In a graph database, a Node represents an entity or instance, such as a customer, person, or car. A node is equivalent to a record in a relational database system. An Edge in a graph database represents a relationship that connects nodes. Properties are additional information added to the nodes.
Neo4j, Azure Cosmos DB, SAP HANA, Sparks, Oracle Spatial and Graph, OrientDB, ArrangoDB, and MarkLogic are famous graph databases. The graph database structure is also supported by some RDBMS, including Oracle and SQL Server 2017 and later versions.
There are dozens of graph databases in the market. Check out The Most Popular Graph Databases here. To continue learning about Graph Databases, read What a Graph Database is and Why do we a Graph Database.
ER Model Databases
An ER model is typically implemented as a database. In a simple relational database implementation, each table Row represents one instance of an entity type, and each field in a table represents an attribute type. In a relational database, a relationship between entities is implemented by storing the primary key of one entity as a pointer or "foreign key" in the table of another entity.
Peter Chen developed the entity-relationship Model in 1976.
Document Databases
Document databases (Document DB) are also NoSQL databases that store data as documents. Each document represents the data, its relationship with other data elements, and its attributes of data. Document database store data in a key-value form.
Document DB has become popular recently due to its document storage and NoSQL properties. NoSQL data storage provides a faster mechanism to store and search documents.
Popular NoSQL databases are Hadoop/HBase, Cassandra, Hypertable, MapR, Hortonworks, Cloudera, Amazon SimpleDB, Apache Flink, IBM Informix, Elastic, MongoDB, and Azure DocumentDB.
Continue reading. What is a Document Database, and What are the most popular document DBs?
NoSQL Databases
NoSQL databases do not use SQL as their primary data access language. A graph database, network database, object database, and document databases are common NoSQL databases. Here is an article on Introduction to NoSQL Databases. This article answers the question, what is a NoSQL database?
NoSQL database does not have predefined schemas, which makes NoSQL databases a perfect candidate for rapidly changing development environments.
NoSQL allows developers to make changes on the fly without affecting applications.
NoSQL databases can be categorized into the following five major categories: Column, Document, Graph, Key-value, and Object.
Here is a list of 10 popular NoSQL databases.
- Cosmos DB
- ArangoDB
- Couchbase Server
- CouchDB
- Amazon DocumentDB
- MongoDB, CouchBase
- Elasticsearch
- Informix
- SAP HANA
- Neo4j
What are NoSQL Databases?
NoSQL databases have grown in popularity recently, and plenty of jobs are available. Continue reading and learn more about the most popular NoSQL databases here.
Summary
This article discussed various types of databasesand their examples. Next reading:What Is The Most Popular Database In the World?
