Best Database to Use for Your Business

Image illustrating small databases transferring information to central database server.

1. MySQL

• It is one of the quickest database systems available.
  
• It's a high-performance yet basic database system that is a lot easier to set up.
  
• It's completely networked, with databases accessible from anywhere. And on the Internet, allowing you to share your information with anybody, anywhere.
  

2. Microsoft SQL Server

• Microsoft SQL Server is a powerful Relational Database Management System. It works well in both on-site and cloud environments. This corporation's flexible database comes with built-in analytics. That enables organizations to grow efficiency, reliability, and integrity as needed. It's compatible with both Linux and Windows systems.
  
• It has the most prominent features as mentioned below:
  
• It offers platform independence and high performance.
  
• Users may gain insights by analyzing their whole dataset without replicate their data.
  
• It enables you to build a variety of tables and data flow without the complex syntax.
  
• It offers high scalability with some ETL tools.
  

3. Oracle

• Oracle Database is the earliest database designed particularly for commercial distributed applications. It's the most flexible and cost-effective way to manage cloud-based applications. Business cloud storage generates large amounts of industry-standard, adaptable storage, and systems. You can study Oracle Database concepts with this comprehensive blog.
  
• The following are the reasons why you should pick Oracle as your database.
  
• You can store all data types in a single database.
  
• Oracle Database is compatible to use anywhere. Such as data centers, public cloud, or private cloud.
  
• Apart from that, its high speed is due to the fact that it supports PL/SQL. That allows users to build sophisticated programs.
  
• It reduces the risk of data breaches while also making compliance easier and faster.
  

4. MongoDB

• MongoDB is a NoSQL DBMS that is free and open software. It is a tool for handling document information and also for retrieving and storing data.
• Moreover, it has many features as mentioned below, which make it the finest choice.
• Fast, simple to use, deployment flexibility, excellent performance, highly available, and scalability.
• MongoDB makes it simple for users to manage structured and unstructured data as a collection of documents.
• It stores documents in a JSON-like manner.
• It can also handle a large quantity of data. And expand vertically as well as horizontally to handle massive quantities of data.
  

5. PostgreSQL

• It is an easily accessible database framework that enables both SQL and JSON queries. It serves as the accumulated data for different web and analytic applications.
  
• Some of its characteristics are as follows:
  
• Multiple interfaces, great support, operations, and simple data transmission are its main advantages.
  
• All types of data are enabled including structured, semi-structured, key-value, and spatial data.
  
• It has excellent catastrophe recovery and dependability features.
  
• Without recompiling your database, you can create your own data types, functions.
  

6. SQLite

• SQLite is a C library that contains an open-source finest SQL database with RDBMS. It's an excellent database that just doesn't need any setup or a server or installations. It is simple and includes several of the most utilized DBMS capabilities for development.
  
• SQLite is used by many developers for the following reasons:
  
• Command-line interface
  
• Cross-platform
  
• Simple and easy to use
  
• Zero configuration
  
• No external dependencies
  

7. Elasticsearch

• Elasticsearch (also known as dubbed ES) is a modern research analysis tool inspired by Apache Lucene. It is a NoSQL database that is totally open and written in Java. This implies it saves data in an unstructured manner and cannot be queried using SQL.
  
• Some features of Elasticsearch are:
  
• It is the greatest tool for analytics since it is quick and delivers real-time search results.
  
• It includes many useful built-in features which make data storage and retrieval even easier and faster.
  
• It's very configurable and extensible using plugins.
  
• Its distributed structure enables the database to expand to thousands of machines and manage petabytes of data.
  

8. Cassandra

• Apache Cassandra is a decentralized DBMS designed to handle huge amounts of data across many cloud and data centers. The following are a few of its highlights:
  
• It is really user-friendly.
  
• It provides a high level of accessibility
  
• It's hard to find a vulnerability in this system.
  
• It has Hadoop integration, MapReduce functionality, and also Apache Hive and Apache Pig.
  
• For failure tolerance, sensitive data is automatically saved and copied.
  

9. Redis

• Redis is famous as a data structure server since its core data types are like the ones used in programming. It includes dictionaries, sets, lists, strings, and sorted sets. It also includes a wide range of data types and features for accurate location tracking and streaming analytics.
  
• Redis can be used for the following reasons:
  
• It supports key and value pairs up to 512 MB in size.
  
• Employs Redis Hashing, which is its own hashing method.
  
• Allows you to replicate your data.
  
• It's relatively simple to insert huge data quantities into its cache.
  

10. MariaDB

• One of the most commonly used database servers is MariaDB Server. It is created as open freeware. MariaDB has a SQL interface for data retrieval. It can handle both minor computation tasks and business requirements. MariaDB has all of MySQL's features plus a lot more, including the following:
  
• It is highly scalable so that any company whether a large organization or small business can easily store and manage its data.
  
• It makes use of a well-known querying language.
  
• PHP web development languages are supported.
  
• With the latest version of encryption, it offers high security.