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What are the most common database applications for businesses?

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Databases are essential for storing, managing, and analyzing data in any business. They can help improve efficiency, security, performance, and scalability of various processes and applications. However, not all databases are the same. There are different types of databases, such as relational, non-relational, and hybrid, that have different advantages and disadvantages depending on the use case. In this article, we will explore some of the most common database applications for businesses and how they can benefit from them.

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Olexandr Andriyenko

QA Engineer | Software Tester | Test Automation | TypeScript | Playwright | Python | WebdriverIO | Selenium | Cucumber

1 Relational databases

Relational databases are based on the concept of tables, rows, and columns, where each row represents a record and each column represents an attribute. Relational databases use a structured query language (SQL) to manipulate and query data. They are widely used for transactional and analytical applications that require consistency, accuracy, and integrity of data. Some of the most popular relational database management systems (RDBMS) are MySQL, PostgreSQL, Oracle, and Microsoft SQL Server.

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Olexandr Andriyenko

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Relationale Datenbanken verwenden Tabellen, Zeilen und Spalten, wobei jede Zeile einen Datensatz und jede Spalte ein Attribut darstellt. Durch die strukturierte Abfragesprache SQL erm?glichen sie effiziente Datenmanipulation und Abfragen. RDBMS wie MySQL, PostgreSQL, Oracle und Microsoft SQL Server werden für transaktionale und analytische Anwendungen genutzt, die Konsistenz, Genauigkeit und Integrit?t erfordern. Mit SQL als strukturierter Abfragesprache erm?glichen sie effiziente Datenmanipulation und Abfragen. H?ufig eingesetzt für konsistente, genaue und integre Daten in transaktionalen und analytischen Anwendungen. Beliebte RDBMS sind MySQL, PostgreSQL, Oracle und Microsoft SQL Server.

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Philip L.

Founder (C++ Categorised Database)
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4 main RDBMS in the existing market We don’t use any structured query language to manipulate and query data, we are direct access the table, row and columns. We hope to provide another choice to the existing market.

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2 Non-relational databases

Non-relational databases, also known as NoSQL databases, are based on the concept of collections, documents, and key-value pairs, where each document or value can have a flexible and dynamic schema. Non-relational databases use various query languages and APIs to access and manipulate data. They are widely used for web and mobile applications that require scalability, performance, and flexibility of data. Some of the most popular non-relational database management systems (NoSQL DBMS) are MongoDB, Cassandra, Redis, and Couchbase.

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Olexandr Andriyenko

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NoSQL-Datenbanken, auch als nicht relationale Datenbanken bekannt, basieren auf Sammlungen, Dokumenten und Schlüssel-Wert-Paaren. Jedes Dokument oder Wert kann ein flexibles Schema haben. Diese Datenbanken verwenden verschiedene Abfragesprachen und APIs für den Zugriff und die Bearbeitung von Daten. H?ufig genutzt in skalierbaren, leistungsstarken und flexiblen Web- und Mobile-Anwendungen. Beliebte NoSQL-DBMS sind MongoDB, Cassandra, Redis und Couchbase.

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3 Hybrid databases

Hybrid databases are databases that combine the features and capabilities of both relational and non-relational databases. They can store and process data in different formats and models, depending on the needs and preferences of the users. Hybrid databases can offer the best of both worlds: the reliability and consistency of relational databases and the scalability and flexibility of non-relational databases. Some of the most popular hybrid database management systems (HDBMS) are Amazon Aurora, Google Cloud Spanner, and Microsoft Azure Cosmos DB.

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Olexandr Andriyenko

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Hybriddatenbanken kombinieren Funktionen von relationalen und nicht relationalen Datenbanken, erm?glichen die Speicherung und Verarbeitung von Daten in verschiedenen Formaten und Modellen. Sie bieten Zuverl?ssigkeit und Konsistenz relationaler Datenbanken sowie die Skalierbarkeit und Flexibilit?t nicht-relationaler Datenbanken. Beliebte hybride Datenbankmanagementsysteme sind Amazon Aurora, Google Cloud Spanner und Microsoft Azure Cosmos DB.

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4 Database frameworks

Database frameworks are software tools that help developers and users interact with databases more easily and efficiently. They can provide features such as abstraction, automation, validation, security, and migration of data. Database frameworks can also support multiple database types and languages, enabling cross-platform and cross-database compatibility. Some of the most popular database frameworks are Hibernate, SQLAlchemy, Django ORM, and Laravel Eloquent.

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Olexandr Andriyenko

QA Engineer | Software Tester | Test Automation | TypeScript | Playwright | Python | WebdriverIO | Selenium | Cucumber
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Datenbank-Frameworks sind Tools, die die Interaktion mit Datenbanken erleichtern. Sie bieten Funktionen wie Abstraktion, Automatisierung, Validierung, Sicherheit und Datenmigration. Beliebte Frameworks sind Hibernate, SQLAlchemy, Django ORM und Laravel Eloquent, die plattform- und datenbankübergreifende Kompatibilit?t unterstützen.

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5 Database applications

Database applications are software programs that store, retrieve, and manipulate data for various purposes and functions. These applications can range from simple to complex, depending on the business needs and goals. Common database applications include Customer Relationship Management (CRM), Enterprise Resource Planning (ERP), Business Intelligence (BI), Content Management System (CMS), and E-Learning System (ELS). CRM applications help businesses manage their interactions with customers and prospects, such as sales, marketing, service, and support. ERP applications enable better planning and decision making by integrating data from multiple sources and departments. BI applications provide insights and reports on key performance indicators (KPIs), trends, patterns, and anomalies. CMS applications help businesses create, manage, and publish content for websites and web applications. ELS applications facilitate online learning and training for employees, customers, and partners by delivering content such as courses, quizzes, and certificates.

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Philip L.

Founder (C++ Categorised Database)
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We use our categorised database to implement the CRM. There is lack of categorisation database in the world, we hope our categorisation database can be one of the choice in existing market.

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Philip L.

Founder (C++ Categorised Database)
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We use our categorised database to implement the CRM. There is lack of categorisation database in the world, we hope our categorisation database can be one of the choice in existing market.

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Olexandr Andriyenko

QA Engineer | Software Tester | Test Automation | TypeScript | Playwright | Python | WebdriverIO | Selenium | Cucumber
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Datenbankanwendungen sind Softwareprogramme, die entwickelt wurden, um Daten für verschiedene Zwecke und Funktionen zu speichern, abzurufen und zu manipulieren. Diese Anwendungen reichen von einfachen Systemen bis zu komplexen L?sungen, abh?ngig von den spezifischen Gesch?ftsanforderungen und -zielen. Customer Relationship Management (CRM) ist eine h?ufige Art von Datenbankanwendung, die Unternehmen dabei unterstützt, Kundenbeziehungen zu verwalten und zu optimieren. Andere Beispiele für Datenbankanwendungen sind Enterprise Resource Planning (ERP), Inventory Management Systems und Content Management Systems (CMS), die jeweils darauf ausgerichtet sind, spezifische Gesch?ftsprozesse zu unterstützen.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What are the most common database applications for businesses?

1

2

3

4

5

6

1 Relational databases

2 Non-relational databases

3 Hybrid databases

4 Database frameworks

5 Database applications

6 Here’s what else to consider

Computer Science

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What are the most common database applications for businesses?

1

2

3

4

5

6

1 Relational databases

2 Non-relational databases

3 Hybrid databases

4 Database frameworks

5 Database applications

6 Here’s what else to consider

Computer Science

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