A database is a group of data that has been arranged to make data administration, storage, and retrieval more effective. It is a structured data collection that can be accessed, managed, and updated easily. Database stores information related to various domains such as finance, education, e-commerce, healthcare, etc. They are a crucial part of the majority of contemporary computer-based applications and are made to assist businesses in properly and efficiently managing massive volumes of data. There are numerous varieties of databases, each with particular characteristics and advantages, including relational databases, NoSQL databases, object-oriented databases, and more. Here are 20 popular databases:
1. Mysql
MySQL is based on client-server architecture. It is known for its performance, scalability, and ease of use and it is compatible with a wide range of platforms and programming languages. It is known for its security features, including support for SSL encryption and authentication mechanisms such as LDAP and Kerberos.
2. Oracle
Oracle is a commonly used commercial relational database management system in business settings. It supports a wide range of data types and transactional processing. Oracle databases can be set up locally or in the cloud, and they can be connected to other business software programmes like CRM and ERP systems.
3. Postgresql
Popular open-source relational database management system (RDBMS) PostgreSQL gives users a strong and dependable means to store, arrange, and manage massive volumes of data. It offers features like concurrency control and transactional integrity. Its extensibility and scalability allow users to create custom data types, functions, and other extensions to meet their needs.
4. Microsoft Sql Server
Microsoft Corporation created the relational database management system (RDBMS) known as Microsoft SQL Server. It is a software product primarily used to store, retrieve and manage data from various applications and platforms. It is a commercial relational database management system to support a wide range of data types and transactions.
5. Mongodb
MongoDB is a popular open-source NoSQL database management system designed for scalability and high availability. Instead of using tables and rows as in traditional relational databases, it uses a flexible and dynamic document model to store data. This document model allows for faster, more flexible data querying, making it ideal for large-scale and complex applications.
6. Cassandra
Cassandra is a distributed NoSQL database system designed for high availability and scalability. It is known for its ability to handle large volumes of data. In addition, enterprises that need low-latency data access and high availability for their applications frequently choose it due to its capacity to grow horizontally across numerous data centres.
7. Redis
Redis is an in-memory data structure store that is free to use and may be used as a database, cache, and message broker. It is designed to be fast, flexible, and scalable, making it popular for many use cases. Strings, hashes, list, set, and sorted sets are just a few of the numerous data structures it supports.
8. Elasticsearch
Large volumes of structured and unstructured data can be stored, searched, and analysed using Elasticsearch, a distributed, open-source search and analytics engine. It is well-liked for various use cases because it is made to be quick, scalable, and versatile. It uses a distributed architecture to provide high availability and fault tolerance.
9. Couchbase
Couchbase is an open-source NoSQL document-oriented database management system designed for high scalability, performance, and availability. It is based on the Apache CouchDB project and supports key-value and document data models. It provides a distributed architecture that allows data to be stored and queried across multiple nodes in a cluster.
10. Neo4j
Neo4j is an open-source, graph-based database management system designed for managing and querying large-scale graphs. It is used in applications like fraud detection, social network analysis, and recommendation engines and is perfect for handling intricate, interrelated data. It stores data in nodes and relationships, where nodes represent entities and relationships represent their connections.
11. Amazon Dynamodb
A fully managed NoSQL database service is available from Amazon Web Services under the name Amazon DynamoDB (AWS). It is used by many businesses to store and retrieve huge volumes of organised and unstructured data since it is highly scalable, performant, and available. Key-value data modelling is the foundation of DynamoDB.
12. Sqlite
A popular relational database management system for desktop and mobile applications is SQLite, which is compact and embedded. It is known for its simplicity and small footprint.
13. Mariadb
MariaDB is a well-liked relational database management system that is open-source and built for speed, scalability, and security. It is a fork of MySQL and is fully compatible with it.
14. Ibm Db2
IBM DB2 is a commercial relational database management system designed for enterprise-level applications. It is renowned for its dependability and scalability and supports a wide variety of data types and operations.
15. Google Cloud Firestore
Google Cloud Firestore is a fully managed NoSQL document database system designed for real-time web and mobile applications. It includes sophisticated features like transactions and intelligent scaling and is completely linked with other Google Cloud services.
16. Apache Hadoop
An open-source software architecture called Apache Hadoop is used for the distributed archiving and processing of enormous amounts of data. It is commonly used for big data analytics and supports various data sources and processing methods.
17. Apache Cassandra
Apache Cassandra is a distributed NoSQL database system designed for high scalability and availability. It is used for mission-critical applications and supports key-value and document-oriented data structures.
18. Apache Kafka
Apache Kafka is an open-source distributed event streaming platform that is designed for real-time data streaming and processing. It is commonly used for building data pipelines and processing data streams from multiple sources.
19. Couchdb
CouchDB is a NoSQL database system designed for ease of use and scalability. It supports document-oriented data models and used for web and mobile applications.
20. Arangodb
ArangoDB is a native multi-model database system that supports document, graph, and key-value data models. It is used for online and mobile applications and is built for great performance and scalability.
