MongoDB is one of the popular open source and document oriented database systems. It belongs to a family of databases called NoSQL, which is different from the traditional table based SQL databases. It makes use of collections, each having multiple documents, and allows the user to store data in a non relational format. Data is stored in flexible, JSON-like documents where fields can vary from document to document.
MongoDB is a popular open source and document oriented database system. It belongs to a family of databases called NoSQL, which is different from the traditional table based SQL databases. It makes use of collections, each having multiple documents, and allows the user to store data in a non relational format. Data is stored in flexible, JSON-like documents where fields can vary from document to document. That's the reason for calling it schemaless database.
MongoDB is a popular open source and document oriented database system. It belongs to a family of databases called NoSQL, which is different from the traditional table based SQL databases. It makes use of collections, each having multiple documents, and allows the user to store data in a non relational format. Data is stored in flexible, JSON-like documents where fields can vary from document to document. That's the reason for calling it schemaless database.
MySQL is an open-source relational database management system (RDBMS). Its name is a combination of My and SQL the abbreviation for Structured Query Language. A relational database organizes data into one or more data tables in which data types may be related to each other; these relations help structure the data. SQL is a language programmers use to create, modify and extract data from the relational database, as well as control user access to the database.
Redis is an open-source in-memory key-value data store. It can be used as a database, cache, message broker and supports various data structures such as Strings, Hashes, Lists, Sets, etc... Apart from its performance and flexibility, Redis stands out with its wide language support, high availability, and automatic partitioning.
In today's data-driven world, safeguarding critical information is paramount. As databases grow in complexity and size, it becomes increasingly crucial to have a reliable backup and restore strategy in place. MongoDB, a popular NoSQL database, offers powerful export and import commands that simplify the process of creating backups and restoring data. In this article, we will explore how these commands can be used as efficient backup and restore actions, ensuring the safety and integrity of your valuable data.
MongoDB is a popular NoSQL database known for its flexibility and scalability. In MongoDB, query operators are used to perform specific operations within a query, allowing you to filter and retrieve documents based on various conditions. These operators provide powerful capabilities for querying and manipulating data. In this article, we will explore some of the most important MongoDB operators, focusing on both read and update operations.
In the ever-evolving world of software development, architects and developers strive to create scalable, maintainable, and robust applications. One of the key principles that aid in achieving these goals is the proper organization of data access and storage. The Repository Pattern is a fundamental architectural design pattern that provides a structured approach to handling data, making it an invaluable tool for developers. In this article, we will delve into what the Repository Pattern is, how it should be implemented, and provide some real-world examples of its application.
The Criteria Pattern stands as a powerful tool, often hidden in the shadows of more commonly discussed design patterns. This pattern empowers developers to implement dynamic and customizable queries in their applications, enhancing flexibility and maintainability To facilitate this process, Criteria package provides the shared domain logic that contains abstract criteria implementation that each specific criteria should extend from.
Many applications start their web server and database hosted on the same machine. It's simpler, cheaper and easier to manage. However, as our application grows , a setup like this can bring security issues and scalability problems. A common solution is to separate our database from the application: creating a dedicated database server and allowing applications to connect remotely. This setup is more secure, it can provide you a better analysis of the bottlenecks and definitely makes the scalability easier.
